🧬 Vitalis

The Self-Evolving Programming Language

A compiled language purpose-built for autonomous AI code evolution.
Vitalis compiles to native machine code via Cranelift JIT and AOT, with first-class support for
self-modifying programs, genetic code evolution, and real-time fitness tracking.

Written from scratch in Rust. No LLVM. No interpreter. No VM. JIT + AOT native compilation.

fn main() -> i64 { println("Hello, Evolution."); 42 }

Quick Start · Language Guide · Architecture · API Reference · Benchmarks

📊 At a Glance

455
_{Source modules}

189,000+
_{Lines of Rust}

7,500
_{Tests passing}

5,557
_{Public functions}

2,772
_{FFI exports}

🏗 Architecture

The compiler transforms source code through six stages, each producing a well-defined intermediate form:

flowchart TB
    A["📄 Source Code\n.sl files"] -->|tokenize| B["🔤 LEXER\nlexer.rs"]
    B -->|parse| C["🌳 PARSER\nparser.rs"]
    C -->|validate| D["✅ TYPE CHECKER\ntypes.rs"]
    D -->|lower| E["📐 IR BUILDER\nir.rs"]
    E -->|compile| F["⚡ CODEGEN\ncodegen.rs"]
    F -->|emit| G["🖥️ NATIVE MACHINE CODE\nx86-64"]

    style A fill:#2d1b69,stroke:#a855f7,stroke-width:3px,color:#f0e6ff,font-weight:bold
    style B fill:#1e3a5f,stroke:#60a5fa,stroke-width:2px,color:#dbeafe
    style C fill:#1e3a5f,stroke:#60a5fa,stroke-width:2px,color:#dbeafe
    style D fill:#1e3a5f,stroke:#60a5fa,stroke-width:2px,color:#dbeafe
    style E fill:#1e3a5f,stroke:#60a5fa,stroke-width:2px,color:#dbeafe
    style F fill:#4a1942,stroke:#f472b6,stroke-width:3px,color:#fce7f3,font-weight:bold
    style G fill:#0f3d1e,stroke:#4ade80,stroke-width:4px,color:#dcfce7,font-weight:bold

Compiler Pipeline Detail

flowchart TB
    subgraph LEX ["🔤 STAGE 1 · LEXER"]
        direction TB
        L1(["📄 Source text"]) --> L2["Logos zero-copy tokenizer\n~80 token variants"]
        L2 --> L3(["Token stream"])
    end

    subgraph PARSE ["🌳 STAGE 2 · PARSER"]
        direction TB
        P1["Recursive descent + Pratt precedence"] --> P2["30+ Expr · 10 Stmt · 12 TopLevel"]
        P2 --> P3(["AST with Span tracking"])
    end

    subgraph TYPE ["✅ STAGE 3 · TYPE CHECKER"]
        direction TB
        T1["Pass 1 → Collect all signatures"] --> T2["Pass 2 → Check all bodies"]
        T2 --> T3(["Fully typed + validated AST"])
    end

    subgraph IR ["📐 STAGE 4 · IR BUILDER"]
        direction TB
        I1["SSA construction · 26+ instructions"] --> I2["Struct layout · Closures · Loops"]
        I2 --> I3(["SSA IR Module"])
    end

    subgraph CG ["⚡ STAGE 5 · CODEGEN"]
        direction TB
        C1["Cranelift 0.116 JIT"] --> C2["Register alloc · Instruction select"]
        C2 --> C3["2,772 extern C runtime functions"]
        C3 --> C4(["Native x86-64 machine code"])
    end

    subgraph FFI ["🐍 STAGE 6 · FFI BRIDGE"]
        direction TB
        F1["bridge.rs · extern C ABI"] --> F2["vitalis.dll / libvitalis.so"]
        F2 --> F3["vitalis.py · ctypes"]
        F3 --> F4(["Python interop"])
    end

    LEX ==> PARSE
    PARSE ==> TYPE
    TYPE ==> IR
    IR ==> CG
    CG ==> FFI

    style LEX fill:#0c1222,stroke:#38bdf8,stroke-width:2px,color:#e0f2fe
    style PARSE fill:#0c1222,stroke:#818cf8,stroke-width:2px,color:#e0e7ff
    style TYPE fill:#0c1222,stroke:#a78bfa,stroke-width:2px,color:#ede9fe
    style IR fill:#0c1222,stroke:#c084fc,stroke-width:2px,color:#f3e8ff
    style CG fill:#1a0c0c,stroke:#fb923c,stroke-width:3px,color:#fff7ed
    style FFI fill:#0c1a0c,stroke:#4ade80,stroke-width:3px,color:#dcfce7

Module Map — 455 Modules

Every source file has a single responsibility. The codebase is organized into twelve layers spanning compiler infrastructure, AI/ML, neuromorphic computing, and systems programming:

⚙️ Core Compiler Pipeline
`lexer.rs` _{Logos tokenizer}	`parser.rs` _{Recursive-descent + Pratt}	`ast.rs` _{30+ Expr, 12 TopLevel}	`types.rs` _{Two-pass type checker}
`ir.rs` _{SSA-form IR builder}	`codegen.rs` _{Cranelift JIT backend}	`optimizer.rs` _{IR optimization passes}	`stdlib.rs` _{5,557 public functions}
`bridge.rs` _{C FFI for Python}	`main.rs` _{CLI binary (vtc)}	`lib.rs` _{Module root}

🛡️ Type System & Safety
`generics.rs` _{Monomorphization}	`type_inference.rs` _{Hindley-Milner}	`ownership.rs` _{Borrow checker}	`lifetimes.rs` _{Region analysis}
`nll.rs` _{Non-lexical lifetimes}	`effects.rs` _{Capability types}	`effect_handlers.rs` _{Algebraic effects}	`refinement_types.rs` _{Dependent types}
`trait_dispatch.rs` _{VTables + resolution}	`type_classes.rs` _{HKTs, GADTs}	`pattern_exhaustiveness.rs` _{Maranget algorithm}	`formal_verification.rs` _{Contracts, proofs}

🎯 Compilation Targets
`aot.rs` _{AOT native binaries}	`cross_compile.rs` _{ARM64 · RISC-V}	`wasm_target.rs` _{WASM module builder}	`wasm_aot.rs` _{WASM AOT + WASI}
`bootstrap.rs` _{Self-hosted Stage 0/1/2}	`distributed_build.rs` _{Distributed compilation}

🧬 Evolution & Self-Improvement
`evolution.rs` _{@evolvable registry}	`evolution_advanced.rs` _{DE, PSO, CMA-ES}	`meta_evolution.rs` _{Thompson sampling}	`engine.rs` _{Evolution brain}
`autonomous_agent.rs` _{Self-rewriting code}	`reward_model.rs` _{Learned fitness}	`self_optimizer.rs` _{ML-driven compiler}	`code_intelligence.rs` _{Code embeddings}
`program_synthesis.rs` _{Type-guided synthesis}	`scoring.rs` _{Fitness scoring}	`memory.rs` _{Engram storage}

🚀 Performance & Runtime
`hotpath.rs` _{44 native Rust ops}	`simd_ops.rs` _{AVX2 vectorization}	`async_runtime.rs` _{Async executor}	`concurrency.rs` _{Mutex, channels, Select}
`memory_pool.rs` _{Arena, slab, buddy}	`profiler.rs` _{Flame graphs, PGO}	`benchmark.rs` _{Micro-benchmarks}	`gpu_compute.rs` _{Compute shaders}

🧠 AI & Machine Learning
`tensor.rs` _{N-dim tensors}	`autograd.rs` _{Reverse-mode AD}	`neural_net.rs` _{Layers + training}	`transformer.rs` _{MHA, GQA, RoPE}
`training_engine.rs` _{Adam, LR schedules}	`inference.rs` _{KV cache, sampling}	`tokenizer_engine.rs` _{BPE, WordPiece}	`model_adaptation.rs` _{LoRA, QLoRA}
`quantization.rs` _{INT8/INT4, GPTQ}	`differentiable.rs` _{@differentiable}	`probabilistic.rs` _{Bayesian, MCMC}	`ml.rs` _{k-means, KNN, PCA}
`nas.rs` _{Architecture search}	`continual_learning.rs` _{EWC, progressive}	`federated_learning.rs` _{FedAvg, privacy}	`rl_framework.rs` _{DQN, PPO, A2C}
`simulation.rs` _{RL environments}	`data_pipeline.rs` _{DataLoader, transforms}	`experiment.rs` _{Experiment tracking}	`model_serving.rs` _{Inference serving}
`ai_observability.rs` _{Drift, fairness, SHAP}

🔧 Language Features
`macro_system.rs` _{Hygienic macros}	`const_eval.rs` _{Compile-time eval}	`iterators.rs` _{Lazy iterators}	`documentation.rs` _{Doc generation}
`formatter.rs` _{Code formatter}	`linter.rs` _{17 lint rules}	`ffi_bindgen.rs` _{C/.d.ts bindgen}	`build_system.rs` _{Build DAG + cache}
`property_testing.rs` _{QuickCheck shrinking}	`regex_engine.rs` _{Thompson NFA}	`serialization.rs` _{JSON, Base64, MsgPack}	`data_structures.rs` _{B-Tree, Skip List, LRU}
`networking.rs` _{HTTP/1.1, /2, WebSocket}	`ecs.rs` _{Entity-Component-System}

🛠️ Developer Tooling
`lsp.rs` _{LSP server}	`dap.rs` _{Debug adapter}	`repl.rs` _{Interactive REPL}	`ide_features.rs` _{Refactoring, coverage}
`incremental.rs` _{Incremental compilation}	`hot_reload.rs` _{Live code reload}	`package_manager.rs` _{SemVer, registry}

🎨 Graphics & Creative
`graphics_engine.rs` _{2D/3D rendering}	`shader_lang.rs` _{GLSL/HLSL/SPIR-V}	`gui_framework.rs` _{Widget layout}	`creative_coding.rs` _{Particles, L-systems}
`visual_nodes.rs` _{Node graph editor}	`chart_rendering.rs` _{Charts + SVG export}

📊 Domain Libraries — 24 modules
`quantum.rs` _{Quantum circuits}	`quantum_algorithms.rs` _{Grover, Shor, VQE}	`quantum_math.rs` _{Quantum primitives}	`graph.rs` _{Dijkstra, BFS, MST}
`numerical.rs` _{ODE, FFT, integration}	`advanced_math.rs` _{Matrix ops, stats}	`signal_processing.rs` _{DSP, filters}	`bioinformatics.rs` _{DNA, alignment}
`neuromorphic.rs` _{Spiking NNs, STDP}	`geometry.rs` _{Convex hull, Voronoi}	`sorting.rs` _{Parallel sort}	`automata.rs` _{FSM, NFA/DFA}
`combinatorial.rs` _{Permutations, TSP}	`probability.rs` _{Distributions}	`analytics.rs` _{Statistical analysis}	`compression.rs` _{LZ77, Huffman}
`chemistry_advanced.rs` _{Molecular dynamics}	`string_algorithms.rs` _{KMP, suffix arrays}	`crypto.rs` _{SHA-256, AES}	`security.rs` _Sandboxing
`science.rs` _{Physics sims}	`wasm_target.rs` _{WASM builder}

🚀 Quick Start

Prerequisites

Tool	Version	Purpose
Rust	nightly / stable 1.85+	Edition 2024 compiler
Python	3.12+	FFI wrapper (`vitalis.py`)

Build & Test

# Clone
git clone https://github.com/ModernOps888/vitalis.git
cd vitalis

# Build compiler + DLL
cargo build

# Run all 2,627 tests
cargo test

# Compile and run a .sl file
cargo run -- run examples/hello.sl

# AOT compile to standalone executable
cargo run -- build examples/hello.sl --output hello

# Cross-compile for ARM64
cargo run -- build examples/hello.sl --target aarch64-unknown-linux-gnu

# List available cross-compilation targets
cargo run -- targets

# Run bootstrap pipeline
cargo run -- bootstrap examples/hello.sl

Hello World

// hello.sl — Your first Vitalis program
fn main() -> i64 {
    println("Hello from Vitalis!");
    
    let x: i64 = 40;
    let y: i64 = 2;
    x + y
}

$ vtc run hello.sl
Hello from Vitalis!
42

📖 Language Guide

Type System

Type	Description	Example
`i64`	64-bit signed integer	`42`
`f64`	64-bit float	`3.14`
`bool`	Boolean	`true` / `false`
`str`	Interned string	`"hello"`
`[i64]`	Heap array	`[1, 2, 3]`

Variables & Mutability

let x: i64 = 10;         // immutable binding
let mut count: i64 = 0;  // mutable — can reassign
count = count + 1;

Control Flow

// If / else (expression — returns a value)
let val: i64 = if x > 0 { x } else { -x };

// While loop
let mut i: i64 = 0;
while i < 10 {
    println(to_string_i64(i));
    i = i + 1;
}

// For-each over arrays
let arr: [i64] = [10, 20, 30];
for item in arr {
    println(to_string_i64(item));
}

// Match expression
let result: i64 = match x {
    1 => 100,
    2 => 200,
    _ => 0,
};

// Break / Continue
while true {
    if done { break; }
    if skip { continue; }
}

Functions

fn add(a: i64, b: i64) -> i64 {
    a + b
}

fn greet(name: str) {
    println(str_cat("Hello, ", name));
}

// Closures / Lambdas
let double = |x: i64| -> i64 { x * 2 };
let result: i64 = double(21);  // → 42

Structs & Impl Blocks

struct Rect {
    w: i64,
    h: i64,
}

impl Rect {
    fn area(self: Rect) -> i64 {
        self.w * self.h
    }
}

fn main() -> i64 {
    let r: Rect = Rect { w: 5, h: 3 };
    r.area()  // → 15
}

Modules

module math {
    fn add(a: i64, b: i64) -> i64 { a + b }
    fn mul(a: i64, b: i64) -> i64 { a * b }
}

fn main() -> i64 {
    math::add(10, math::mul(3, 4))  // → 22
}

Error Handling

// Try / Catch — expressions that return values
let result: i64 = try {
    let data: i64 = risky_operation();
    data * 2
} catch e {
    println(e);  // error message
    0            // fallback value
};

// Throw sets error state
throw(404, "not found");

Async Functions (Stubs)

async fn fetch_data() -> i64 {
    let result: i64 = await compute();
    result
}

Collections

// Arrays — heap-allocated, variable length
let arr: [i64] = [1, 2, 3];
let pushed = arr.push(4);        // → [1, 2, 3, 4]
let found: i64 = arr.find(2);    // → 1 (index)
let sorted = arr.sort();         // → [1, 2, 3, 4]
let sliced = arr.slice(0, 2);    // → [1, 2]
let has_it = arr.contains(3);    // → true
let reversed = arr.reverse();    // → [3, 2, 1]
let joined: str = arr.join(","); // → "1,2,3"
let popped: i64 = arr.pop();    // → 3

// Functional operations
let nums = array_range(1, 100);
let total = array_sum(nums);
let smallest = array_min(nums);
let biggest = array_max(nums);
let first5 = array_take(nums, 5);
let rest = array_drop(nums, 5);
let deduped = array_unique(nums);
let counted = array_count(nums, 42);

// Maps — key-value store
let m: i64 = map_new();
map_set(m, "name", 42);
let val: i64 = map_get(m, "name");
let exists: bool = map_has(m, "name");

// Sets — unique element collection
let s: i64 = set_new();
set_add(s, 10);
set_add(s, 20);
let has: bool = set_has(s, 10);       // → true
let count: i64 = set_len(s);          // → 2
let union: i64 = set_union(s1, s2);
let inter: i64 = set_intersect(s1, s2);
let diff: i64 = set_diff(s1, s2);

// Tuples — fixed-size immutable groups
let t = tuple_new3(10, 20, 30);
let first: i64 = tuple_get(t, 0);    // → 10
let size: i64 = tuple_len(t);        // → 3

String Operations

let s: str = "Hello, World!";
let upper: str = s.to_upper();        // → "HELLO, WORLD!"
let lower: str = s.to_lower();        // → "hello, world!"
let trimmed: str = s.trim();
let has: bool = str_contains(s, "World");
let idx: i64 = s.index_of("World");   // → 7
let sub: str = s.substring(0, 5);     // → "Hello"
let rep: str = s.replace("World", "Vitalis");
let len: i64 = str_len(s);            // → 13

// Formatting
let msg = str_format_i64("value = {}", 42);
let pi = str_format_f64("pi = {}", 3.14159);
let greeting = str_format_str("Hello, {}!", "world");

// Conversion
let num_str: str = to_string_i64(42);
let parsed: i64 = parse_int("123");

Regex

let matched = regex_is_match("\\d+", "abc123");     // → 1
let full = regex_match("^hello$", "hello");          // → 1
let found: str = regex_find("\\d+", "abc123def");    // → "123"
let replaced = regex_replace("\\d+", "a1b2c3", "X"); // → "aXbXcX"
let parts = regex_split_count(",", "a,b,c,d");       // → 4

File I/O

file_write("output.txt", "Hello from Vitalis!");
let content: str = file_read("output.txt");
let exists: bool = file_exists("output.txt");
let size: i64 = file_size("output.txt");
file_append("log.txt", "new line\n");
file_delete("temp.txt");

Networking (HTTP)

let body: str = http_get("https://api.example.com/data");
let resp: str = http_post("https://api.example.com/submit", "{\"key\":\"val\"}");
let status: i64 = http_status("https://example.com");

🧬 Evolution System

Vitalis's signature feature: programs that evolve themselves.

flowchart TB
    R(["📝 REGISTER\n@evolvable fn"]) ==> M

    M["🧪 MUTATE\nsource code"] ==> E["📊 EVALUATE\nfitness score"]
    E ==> S{"🏆 Fitter?"}

    S -->|"✅ Yes"| P["⬆️ PROMOTE\nnew generation"]
    S -->|"❌ No"| K["⬇️ ROLLBACK\nkeep previous"]

    P -.->|"next cycle"| M
    K -.->|"retry"| M

    style R fill:#2d1b69,stroke:#a855f7,stroke-width:3px,color:#f0e6ff,font-weight:bold
    style M fill:#1e3a5f,stroke:#60a5fa,stroke-width:2px,color:#dbeafe
    style E fill:#1e3a5f,stroke:#818cf8,stroke-width:2px,color:#e0e7ff
    style S fill:#4a3800,stroke:#fbbf24,stroke-width:3px,color:#fef3c7,font-weight:bold
    style P fill:#0f3d1e,stroke:#4ade80,stroke-width:3px,color:#dcfce7,font-weight:bold
    style K fill:#3d0f0f,stroke:#f87171,stroke-width:3px,color:#fee2e2,font-weight:bold

// Mark a function as evolvable
@evolvable
fn optimize(data: [i64]) -> i64 {
    array_sum(data)
}

// The evolution engine can:
// 1. Register variants
// 2. Track generational history
// 3. Measure fitness scores
// 4. Rollback to previous generations
// 5. Meta-evolve the evolution strategy itself

Evolution API (Python FFI)

import vitalis

# Register a function for evolution
vitalis.evo_register("sort", "fn sort(arr: [i64]) -> [i64] { arr }")

# Evolve to a new generation
gen = vitalis.evo_evolve("sort", new_source)

# Set fitness score
vitalis.evo_set_fitness("sort", 0.95)

# Rollback if needed
vitalis.evo_rollback("sort", previous_gen)

🔬 What Makes Vitalis Unique

Eight features that no other language combines:

mindmap
  root(("🧬 VITALIS"))
    ::icon(🧬)
    🧬 **Code Evolution**
      @evolvable functions
      Generational tracking
      Fitness-driven mutation
      Automatic rollback on regression
    🧠 **Engram Memory**
      Persistent cross-session state
      Pattern recall and recognition
      Temporal decay and reinforcement
    🔄 **Meta-Evolution**
      Strategies that evolve themselves
      Multi-strategy tournament selection
      Adaptive mutation rates via EMA
    ⚡ **Cranelift JIT + AOT**
      Native x86-64 machine code
      Ahead-of-time standalone executables
      Cross-compilation (ARM64, RISC-V)
      Hot-path bypass to Rust
      SIMD vectorized operations
    🔐 **Capability Safety**
      Effect system with capability types
      Lifetime annotations + region analysis
      Sandboxed execution environment
      Permission-based file and network I/O
      Asimov's Laws enforcement layer
    🧪 **Origin Tracking**
      Every AST node carries Span
      Full provenance chain to source
      Debug trace through IR to native
    🔗 **Pipe Operator**
      Declarative data flow pipelines
      Functional stage composition
      First-class pipeline values
    💭 **Consciousness Keywords**
      memorize · recall · forget
      reflect · evolve · mutate
      sandbox · rollback · pipeline

📐 Standard Library

5,557 Public Functions (2,772 FFI Exports)

🔢 Mathematics — 60+ functions

Function	Description
`sqrt`, `cbrt`, `pow`, `abs`	Basic math
`sin`, `cos`, `tan`, `asin`, `acos`, `atan`	Trigonometry
`sinh`, `cosh`, `tanh`	Hyperbolic
`ln`, `log2`, `log10`, `exp`, `exp2`	Logarithmic
`floor`, `ceil`, `round`, `trunc`, `fract`	Rounding
`min`, `max`, `clamp`, `lerp`, `smoothstep`	Interpolation
`gcd`, `lcm`, `factorial`, `fibonacci`, `is_prime`	Number theory
`sigmoid`, `relu`, `tanh`, `gelu`, `swish`, `mish`	Activation functions
`selu`, `elu`, `leaky_relu`, `softplus`, `softsign`	More activations
`rand_i64`, `rand_f64`	Random numbers
`fma`, `copysign`, `hypot`, `atan2`	IEEE 754
`hash_i64`, `popcount`, `leading_zeros`	Bit operations

📝 Strings — 20+ functions

Function	Description
`str_len`, `str_cat`, `str_eq`	Core
`to_upper`, `to_lower`, `trim`	Case & whitespace
`starts_with`, `ends_with`, `contains`	Matching
`index_of`, `replace`, `repeat`, `reverse`	Manipulation
`substring`, `char_at`, `split`	Indexing
`to_string_i64`, `to_string_f64`, `parse_int`, `parse_float`	Conversion
`str_format_i64`, `str_format_f64`, `str_format_str`	Formatting

📦 Collections — 40+ functions

Category	Functions
Arrays	`push`, `pop`, `sort`, `reverse`, `slice`, `find`, `contains`, `join`
Functional	`array_range`, `array_sum`, `array_min`, `array_max`, `array_unique`, `array_take`, `array_drop`, `array_count`, `array_zip`, `array_enumerate`, `array_flatten`
Maps	`map_new`, `map_set`, `map_get`, `map_has`, `map_remove`, `map_len`, `map_keys`
Sets	`set_new`, `set_add`, `set_has`, `set_remove`, `set_len`, `set_union`, `set_intersect`, `set_diff`
Tuples	`tuple_new2`, `tuple_new3`, `tuple_new4`, `tuple_get`, `tuple_len`

🔍 Regex — 8 functions

Function	Description
`regex_match`	Full match (anchored)
`regex_is_match`	Partial/contains match
`regex_find`	First match substring
`regex_replace`	Replace all occurrences
`regex_split_count`, `regex_split_get`	Split by pattern
`regex_find_all_count`, `regex_find_all_get`	Find all matches

📁 File I/O — 6 functions

Function	Description
`file_read`	Read entire file to string
`file_write`	Write string to file
`file_append`	Append string to file
`file_exists`	Check if file exists
`file_delete`	Delete a file
`file_size`	Get file size in bytes

🌐 Networking — 6 functions

Function	Description
`http_get`	HTTP GET → response body
`http_post`	HTTP POST → response body
`http_status`	HTTP GET → status code
`tcp_connect`	TCP connection (stub)
`tcp_send`	Send data over TCP (stub)
`tcp_close`	Close TCP connection (stub)

⚠️ Error Handling — 4 functions

Function	Description
`error_set`	Set error code + message
`error_check`	Check if error is set (0 = no error)
`error_msg`	Get error message string
`error_clear`	Clear error state

🔧 System — 10+ functions

Function	Description
`clock_ns`, `clock_ms`, `epoch_secs`	Timing
`sleep_ms`	Thread sleep
`pid`	Process ID
`env_get`	Environment variables
`eprint`, `eprintln`	Stderr output
`assert_eq_i64`, `assert_true`	Testing
`json_encode`, `json_decode`	JSON serialization
`spawn`, `task_result`	Async stubs

🐍 Python FFI

Vitalis compiles to a shared library (vitalis.dll / libvitalis.so) with a full Python API:

import vitalis

# Compile and run
result = vitalis.compile_and_run("fn main() -> i64 { 42 }")  # → 42

# Static analysis
errors = vitalis.check(source)       # type errors
tokens = vitalis.lex(source)         # [(kind, text), ...]
ast = vitalis.parse_ast(source)      # AST debug dump
ir = vitalis.dump_ir(source)         # IR dump

# Native hot-path operations (Rust, bypass JIT)
p95 = vitalis.hotpath_p95(latencies)
mean = vitalis.hotpath_mean(values)
score = vitalis.hotpath_code_quality_score(
    cyclomatic=5, cognitive=3, loc=100, funcs=10, issues=0, tests=50
)

# Evolution
vitalis.evo_register("fn_name", source)
vitalis.evo_evolve("fn_name", new_source)
vitalis.evo_set_fitness("fn_name", 0.95)
vitalis.evo_rollback("fn_name", gen)

⚡ Performance

Compilation Speed

The Cranelift backend compiles Vitalis code to native x86-64 machine code via JIT at runtime or AOT for standalone executables. Cross-compilation to AArch64 (ARM64) and RISC-V 64 is also supported.

Metric	Value
Lexer throughput	~500K tokens/sec
Full pipeline (lex → native)	< 5ms for typical programs
Runtime overhead vs C	~1.2x (Cranelift optimization level)
Hot-path Rust ops	0x overhead (direct native calls)
AOT targets	x86-64, AArch64, RISC-V 64

Hot-Path Architecture

Performance-critical operations bypass the JIT entirely and call native Rust functions directly:

flowchart TB
    V["📄 Vitalis Code"] --> JIT
    V --> HP

    subgraph JIT ["⚡ CRANELIFT JIT"]
        direction TB
        J1["IR lowering"] --> J2["Register allocation"]
        J2 --> J3(["x86-64 native code"])
    end

    subgraph HP ["🚀 HOT-PATH BYPASS"]
        direction TB
        H1["Direct Rust FFI"] --> H2["SIMD vectorized ops"]
        H1 --> H3["Zero-copy native"]
        H2 --> H4(["< 1ns overhead"])
        H3 --> H4
    end

    style V fill:#2d1b69,stroke:#a855f7,stroke-width:3px,color:#f0e6ff,font-weight:bold
    style JIT fill:#0c1222,stroke:#60a5fa,stroke-width:2px,color:#dbeafe
    style HP fill:#1a0c0c,stroke:#f97316,stroke-width:3px,color:#fed7aa
    style H4 fill:#0f3d1e,stroke:#4ade80,stroke-width:2px,color:#dcfce7
    style J3 fill:#1e3a5f,stroke:#60a5fa,stroke-width:2px,color:#dbeafe

🧪 Test Suite

7,500 tests across every compiler stage and all subsystems:

$ cargo test
test result: ok. 7500 passed; 0 failed; 0 ignored; 0 measured; 0 filtered out

Category	Count	Coverage
Lexer	50+	All 80 token variants
Parser	100+	Every AST node type
Type checker	60+	Inference, generics, errors
IR builder	110+	SSA, control flow, closures, traits
Codegen (JIT)	200+	End-to-end compilation
Runtime stdlib	120+	All 412+ functions
Evolution	20+	Register, evolve, rollback
Domain modules	80+	Math, quantum, ML, crypto
Async runtime	15	Executor, tasks, channels, futures
Generics	20	Type params, monomorphization, bounds
Package manager	22	SemVer, registry, dependency resolver
LSP server	25	Diagnostics, completions, symbols
WASM target	25	Module builder, LEB128, sections
GPU compute	22	Buffers, kernels, pipelines, shaders
Ownership / borrow checker	21	Move tracking, scope analysis
Trait dispatch	20	VTables, resolution, impl registry
Incremental compilation	22	Hash caching, dep graph, topo sort
DAP debugger	28	Breakpoints, stack, variables, stepping
REPL	15	Interactive eval, commands, history
Lifetime analysis	10	Region-based memory safety, borrow lifetimes
Effect system	10	Capability types, algebraic effects
Hot reload	9	File watching, incremental recompilation
Bootstrap pipeline	10	Stage 0/1/2, self-hosted compiler
AOT compilation	10	Native ahead-of-time code generation
Cross-compilation	18	x86-64, AArch64, RISC-V targets
NLL borrow analysis	44	CFG, liveness, NLL regions, conflict detection
Effect handlers	39	Handler stack, continuations, dispatch, composition
Pattern exhaustiveness	51	Usefulness, redundancy, or-patterns, nested destructuring
Formatter	33	AST formatting, config, idempotency, all node types
Linter	30	17 lint rules, unused detection, naming, dead code
Refinement types	44	Predicates, solver, subtyping, registry, bounds
Macro system	35	Token trees, hygiene, derives, pattern matching
Compile-time evaluation	35	Const exprs, const fns, static assertions, folding
Iterator / generator protocol	40	Adapters, pipelines, state machines, terminals
Structured concurrency	45	Mutex, RwLock, channels, Select, WaitGroup, atomics, deadlock detection
Type inference	40	Hindley-Milner, unification, bidirectional, union/intersection, narrowing
Documentation generation	30	Doc comment parsing, API model, Markdown/HTML output, cross-refs
Graphics engine	40	Colors, vectors, matrices, paths, image buffers, render pipeline
Shader languages	25	GLSL, HLSL, WGSL, MSL, SPIR-V compilation, cross-compilation
GUI framework	30	CSS styling, flexbox layout, widget tree, themes, animations
Creative coding	35	Sketch lifecycle, particle systems, L-systems, cellular automata
Visual nodes	30	Node graph, evaluation, templates, DOT export, type checking
Chart rendering	30	Pie/bar/line/scatter/histogram/radar/heatmap/treemap/candlestick
Profiler & PGO	30	Call graphs, flame graphs, PGO hints, hot-path detection
Memory pools	30	Arena, pool, slab, buddy allocators, RC heap, cycle detection
FFI bindgen	30	C headers, TypeScript .d.ts, struct layout, calling conventions
Type classes & HKTs	35	Kinds, type classes, GADTs, type families, type-level naturals
Build system	25	DAG, SHA-256 cache, work-stealing, critical path, topo sort
Benchmarks	25	Welford stats, outlier detection, confidence intervals, regression
Regex engine	30	Thompson NFA, Pike VM, character classes, quantifiers, anchors
Serialization	30	JSON parse/stringify, Base64, Hex, MessagePack, Varint, URL encoding
Property testing	25	QuickCheck, shrinking, Xorshift128+ PRNG, generators, assertions
Data structures	30	B-Tree, Skip List, Ring Buffer, Union-Find, Interval Tree, LRU Cache
Networking	32	URL parser, HTTP/1.1 & /2, WebSocket, DNS, TCP state machine, IP validation
ECS	30	Generational entities, sparse set storage, component queries, system scheduling
Tensor engine	25	N-dim tensors, broadcasting, matmul, SIMD tiling, memory pools
Autograd	25	Tape recording, backward pass, gradient checkpointing, clipping
Neural networks	30	Linear, Conv2D, LayerNorm, Dropout, Residual, Sequential, init
Transformer	30	MHA, GQA, RoPE, SwiGLU, KV cache, Flash Attention, encoder/decoder
Tokenizer	20	BPE, WordPiece, Unigram, byte-level fallback, special tokens
Training engine	25	Adam/AdamW/LAMB, LR schedulers, gradient accumulation, checkpoints
Inference	25	Batched inference, speculative decoding, sampling strategies, beam search
Model adaptation	20	LoRA, QLoRA, adapter layers, prefix tuning, adapter merging
Quantization	20	INT8/INT4, GPTQ, NF4, mixed-precision graph, calibration
Code intelligence	20	Code embeddings, similarity search, bug prediction, semantic search
Program synthesis	20	Type-guided, I/O examples, sketch completion, CEGIS
Self optimizer	20	RL pass ordering, cost model, auto-tuning, PGO integration
Autonomous agent	20	Reflection API, mutation ops, crossover, safety verification
Reward model	20	Preference learning, surrogate model, curiosity-driven exploration
Differentiable	25	@differentiable, dual numbers, custom VJPs, shape types
Probabilistic	25	Distributions, sample/observe, MCMC/HMC, variational inference
RL framework	25	DQN, PPO, A2C, replay buffers, multi-agent
Simulation	20	Grid worlds, continuous control, code optimization environment
Data pipeline	20	Dataset, DataLoader, transforms, streaming, CSV/JSON/binary
Experiment tracking	20	Run tracking, hyperparameter search, model registry, comparison
Model serving	20	Model loading, batched requests, versioning, ONNX export
AI observability	20	Drift detection, fairness metrics, SHAP, safety guardrails
WASM AOT	20	WASM AOT compilation, WASI, component model, tree-shaking
Distributed build	20	Package registry, distributed compile, content-addressed cache
Formal verification	20	Contracts, symbolic execution, SMT constraints, proofs
IDE features	20	Refactoring, code coverage, call graphs, complexity metrics
NAS	15	Neural architecture search, SuperNet, ENAS controller
Continual learning	15	EWC, progressive nets, experience replay, curriculum
Federated learning	15	FedAvg, differential privacy, gossip protocol

📁 Source Map

vitalis/
├── src/
│   ├── lexer.rs              # Logos tokenizer — 80 token variants
│   ├── parser.rs             # Recursive-descent + Pratt parser
│   ├── ast.rs                # 30+ Expr, 10 Stmt, 12 TopLevel variants
│   ├── types.rs              # Two-pass type checker with scope chains
│   ├── ir.rs                 # SSA-form IR with 26+ instruction types
│   ├── codegen.rs            # Cranelift JIT backend + 204 runtime functions
│   ├── stdlib.rs             # 5,557 public function registrations
│   ├── optimizer.rs          # IR optimization passes
│   ├── bridge.rs             # extern "C" FFI for Python/C interop
│   ├── main.rs               # CLI binary (vtc) with clap subcommands
│   ├── lib.rs                # Library root
│   │
│   ├── evolution.rs          # @evolvable function registry + tracking
│   ├── evolution_advanced.rs # Multi-strategy evolution
│   ├── meta_evolution.rs     # Meta-evolution — strategies evolving themselves
│   │
│   ├── hotpath.rs            # Native Rust hot-path operations (2,106 LOC)
│   ├── simd_ops.rs           # SIMD vectorized operations (F64x4)
│   ├── engine.rs             # Pipeline execution engine
│   ├── memory.rs             # Engram memory system
│   ├── scoring.rs            # Fitness scoring algorithms
│   │
│   ├── ml.rs                 # Neural networks, regression, k-means
│   ├── quantum.rs            # Quantum state simulation
│   ├── quantum_algorithms.rs # Grover, Shor, QFT
│   ├── quantum_math.rs       # Quantum math primitives
│   ├── graph.rs              # Graph algorithms (Dijkstra, BFS, MST)
│   ├── numerical.rs          # ODE solvers, integration, FFT
│   ├── signal_processing.rs  # DSP, filters, convolution
│   ├── bioinformatics.rs     # DNA sequencing, alignment
│   ├── neuromorphic.rs       # Spiking neural networks, STDP
│   ├── advanced_math.rs      # Special functions, distributions
│   ├── geometry.rs           # Computational geometry
│   ├── sorting.rs            # Parallel sorting algorithms
│   ├── automata.rs           # Finite state machines, regex engines
│   ├── combinatorial.rs      # Permutations, graph coloring
│   ├── probability.rs        # Distributions, sampling
│   ├── analytics.rs          # Statistical analysis
│   ├── compression.rs        # LZ77, Huffman coding
│   ├── chemistry_advanced.rs # Molecular dynamics
│   ├── string_algorithms.rs  # KMP, Rabin-Karp, suffix arrays
│   ├── crypto.rs             # SHA-256, AES, HMAC
│   ├── security.rs           # Sanitization, capability checks
│   ├── science.rs            # Physics simulations
│   │
│   ├── async_runtime.rs      # Async/await runtime — executor, channels, futures
│   ├── generics.rs           # Generics — type params, monomorphization, bounds
│   ├── package_manager.rs    # Package manager — SemVer, registry, resolution
│   ├── lsp.rs                # LSP server — diagnostics, completion, hover, symbols
│   ├── wasm_target.rs        # WASM target — module builder, LEB128, sections
│   ├── gpu_compute.rs        # GPU compute — buffers, kernels, pipelines, shaders
│   │
│   ├── ownership.rs          # Borrow checker — ownership, move, drop analysis
│   ├── trait_dispatch.rs     # Trait dispatch — vtables, method resolution
│   ├── incremental.rs        # Incremental compilation — hash caching, dep graph
│   ├── dap.rs                # Debug Adapter Protocol — breakpoints, stack, stepping
│   ├── repl.rs               # Interactive REPL — eval, commands, history
│   │
│   ├── lifetimes.rs          # Lifetime annotations — region analysis, borrow scopes
│   ├── effects.rs            # Effect system — capability types, algebraic effects
│   ├── hot_reload.rs         # Hot reload — file watching, incremental recompilation
│   ├── bootstrap.rs          # Self-hosted bootstrap — Stage 0/1/2 pipeline
│   ├── aot.rs                # AOT compilation — native ahead-of-time code generation
│   ├── cross_compile.rs      # Cross-compilation — x86-64, AArch64, RISC-V targets
│   ├── nll.rs                # Non-lexical lifetimes — CFG, liveness, NLL borrow regions
│   ├── effect_handlers.rs    # Algebraic effect handlers — resume/abort continuations
│   ├── pattern_exhaustiveness.rs  # Pattern exhaustiveness — usefulness, redundancy, or-patterns
│   │
│   ├── formatter.rs          # Code formatter — AST-based pretty-printer with config
│   ├── linter.rs             # Static linter — 17 rules, unused detection, naming
│   ├── refinement_types.rs   # Refinement types — constraint solver, subtyping, predicates
│   │
│   ├── macro_system.rs       # Macro system — hygienic expansion, derives, token trees
│   ├── const_eval.rs         # Compile-time eval — const exprs, const fns, static asserts
│   ├── iterators.rs          # Iterator protocol — lazy adapters, generators, state machines
│   │
│   ├── concurrency.rs        # Structured concurrency — Mutex, RwLock, channels, Select, atomics
│   ├── type_inference.rs     # Type inference — Hindley-Milner, unification, bidirectional
│   ├── documentation.rs      # Documentation gen — doc comments, API model, Markdown/HTML
│   │
│   ├── graphics_engine.rs    # Graphics engine — 2D/3D rendering, colors, vectors, matrices, SVG
│   ├── shader_lang.rs        # Shader languages — GLSL, HLSL, WGSL, MSL, SPIR-V cross-compilation
│   ├── gui_framework.rs      # GUI framework — QML/XAML/SwiftUI/CSS, widgets, layout, themes
│   ├── creative_coding.rs    # Creative coding — Processing/p5.js, particles, L-systems, automata
│   ├── visual_nodes.rs       # Visual nodes — node graphs, evaluation, TouchDesigner/Blueprints
│   ├── chart_rendering.rs    # Chart rendering — pie, bar, line, scatter, histogram, radar, treemap
│   │
│   ├── profiler.rs           # Profiler & PGO — call graphs, flame graphs, PGO hints, hot-path detection
│   ├── memory_pool.rs        # Memory pools — arena, pool, slab, buddy allocators, RC heap, cycle detection
│   ├── ffi_bindgen.rs        # FFI bindgen — C headers, TypeScript .d.ts, calling conventions, type marshal
│   ├── type_classes.rs       # Type classes — kinds, HKTs, GADTs, type families, type-level naturals
│   ├── build_system.rs       # Build system — build graph DAG, SHA-256 cache, work-stealing, critical path
│   ├── benchmark.rs          # Benchmarks — Welford stats, outlier detection, CI, regression testing
│   │
│   ├── regex_engine.rs       # Regex engine — Thompson NFA, Pike VM, O(n·m) guaranteed matching
│   ├── serialization.rs      # Serialization — JSON, Base64, Hex, MessagePack, Varint, URL encoding
│   ├── property_testing.rs   # Property testing — QuickCheck-style with shrinking, Xorshift128+ PRNG
│   ├── data_structures.rs    # Data structures — B-Tree, Skip List, Ring Buffer, Union-Find, LRU Cache
│   ├── networking.rs         # Networking — URL parser, HTTP/1.1 & /2, WebSocket, DNS, TCP state machine
│   ├── ecs.rs                # ECS — generational entities, sparse set storage, component queries, systems
│   │
│   ├── tensor.rs             # Tensor engine — N-dim tensors, broadcasting, SIMD matmul, memory pools
│   ├── autograd.rs           # Autograd — reverse-mode AD, tape recording, gradient checkpointing
│   ├── neural_net.rs         # Neural networks — Linear, Conv2D, LayerNorm, Dropout, Residual, Sequential
│   ├── transformer.rs        # Transformer — MHA, GQA, RoPE, SwiGLU, KV cache, Flash Attention
│   ├── tokenizer_engine.rs   # Tokenizer — BPE, WordPiece, Unigram, byte-level fallback
│   ├── training_engine.rs    # Training — Adam/AdamW/LAMB, LR schedulers, gradient accumulation
│   ├── inference.rs          # Inference — batched inference, speculative decoding, beam search
│   ├── model_adaptation.rs   # Adaptation — LoRA, QLoRA, adapter layers, prefix tuning
│   ├── quantization.rs       # Quantization — INT8/INT4, GPTQ, NF4, mixed-precision graphs
│   │
│   ├── code_intelligence.rs  # Code intelligence — embeddings, similarity, bug prediction
│   ├── program_synthesis.rs  # Program synthesis — type-guided, I/O synthesis, CEGIS
│   ├── self_optimizer.rs     # Self-optimizer — RL pass ordering, cost model, auto-tuning
│   ├── autonomous_agent.rs   # Autonomous agent — self-rewriting, reflection API, safety checks
│   ├── reward_model.rs       # Reward model — preference learning, surrogate model, curiosity
│   │
│   ├── differentiable.rs     # Differentiable — @differentiable, dual numbers, shape types
│   ├── probabilistic.rs      # Probabilistic — distributions, MCMC, variational inference, BNNs
│   ├── rl_framework.rs       # RL framework — DQN, PPO, A2C, replay buffers, multi-agent
│   ├── simulation.rs         # Simulation — grid worlds, continuous control, code optimization env
│   │
│   ├── data_pipeline.rs      # Data pipeline — Dataset, DataLoader, transforms, streaming
│   ├── experiment.rs         # Experiment tracking — run logging, hyperparameter search, registry
│   ├── model_serving.rs      # Model serving — batched requests, versioning, ONNX export
│   ├── ai_observability.rs   # AI observability — drift detection, fairness, SHAP, guardrails
│   │
│   ├── wasm_aot.rs           # WASM AOT — standalone .wasm compilation, WASI, component model
│   ├── distributed_build.rs  # Distributed build — package registry, remote compile, hermetic builds
│   ├── formal_verification.rs # Formal verification — contracts, symbolic execution, SMT constraints
│   ├── ide_features.rs       # IDE features — refactoring, code coverage, call graphs, complexity
│   ├── nas.rs                # NAS — neural architecture search, SuperNet, ENAS controller
│   ├── continual_learning.rs # Continual learning — EWC, progressive nets, experience replay
│   └── federated_learning.rs # Federated learning — FedAvg, differential privacy, gossip protocol
│
├── examples/                 # .sl example programs
├── vitalis.py                # Python FFI wrapper (ctypes)
├── Cargo.toml                # Rust manifest — Cranelift 0.116, regex, ureq
└── README.md                 # ← You are here

🔧 Building from Source

Requirements

Rust nightly or stable 1.85+ (Edition 2024)
Python 3.12+ (optional, for FFI wrapper)
Windows / Linux / macOS (Cranelift supports all major platforms)

Build Commands

# Debug build (fast compilation)
cargo build

# Release build (optimized binary)
cargo build --release

# Run tests
cargo test

# Build + run a file
cargo run -- run examples/fibonacci.sl

# Generate documentation
cargo doc --open

Edition 2024 Notes

Vitalis uses Rust Edition 2024 which has stricter rules:

#[unsafe(no_mangle)] instead of #[no_mangle]
gen is a reserved keyword — use generation instead
All unsafe blocks require explicit unsafe {} wrapping

🗺 Roadmap

timeline
    title Vitalis — From Zero to Self-Evolving Language

    v1 · Foundation
        : Lexer with Logos tokenizer
        : Recursive-descent Parser
        : AST with 30+ expression types
        : Cranelift 0.116 JIT backend

    v5 · Type System
        : Two-pass type checker
        : i64, f64, bool, str types
        : Heap-allocated arrays
        : SSA-form IR builder

    v10 · Standard Library
        : 100+ math functions
        : String operations + interning
        : Array methods + sorting
        : Random + hash + bit ops

    v15 · Language Power
        : Closures + Lambda expressions
        : File I/O + Maps + JSON
        : Error handling system
        : Evolution engine + @evolvable
        : 46 new stdlib functions

    v19 · General Purpose
        : Structs + Impl blocks
        : Try/Catch/Throw
        : Sets + Tuples + Regex
        : Module system with namespaces
        : HTTP networking + async stubs
        : Iterator protocol + comprehensions

    v20 · Trait System & Type Power
        : Trait definitions + trait methods
        : Type aliases (type Name = Type)
        : Cast expressions (expr as Type)
        : Enum definitions with variant indexing
        : Method registry for impl dispatch
        : Bare self parameter sugar
        : 741 tests passing

    v21 · Async, Generics, WASM & GPU
        : Full async/await runtime (executor, channels, futures)
        : Generics + type parameters + monomorphization
        : Package manager + registry + dependency resolver
        : LSP server + IDE support (diagnostics, completion, hover)
        : WebAssembly target (module builder, LEB128, sections)
        : GPU compute backend (buffers, kernels, pipelines, shaders)
        : 870 tests passing · 47 modules · 35,856 LOC

    v22 · Borrow Checker, DAP, REPL & Trait Dispatch
        : Ownership & borrow checker (move tracking, scope analysis)
        : Incremental compilation (hash caching, dep graph, topo sort)
        : Full trait dispatch with vtables + method resolution
        : Debug Adapter Protocol (breakpoints, stack, variables, stepping)
        : Interactive REPL (eval, commands, history)
        : Lifetime annotations + region-based memory analysis
        : Effect system + capability types + algebraic effects
        : Incremental codegen + hot-reload with file watching
        : Self-hosted compiler bootstrap (Stage 0/1/2 pipeline)
        : Native AOT compilation (standalone executables)
        : Cross-compilation targets (x86-64, AArch64, RISC-V)
        : 1,043 tests passing · 58 modules · 41,772 LOC

    v23 · Non-Lexical Lifetimes (NLL)
        : CFG builder from AST (entry, exit, branch, join, loop nodes)
        : Backward dataflow liveness analysis (live_in / live_out)
        : NLL regions as sets of CFG points (not lexical scopes)
        : Borrow conflict detection via overlapping live ranges
        : Modify-while-borrowed checks
        : 1,087 tests passing · 59 modules · 43,095 LOC

    v24 · Effect Handlers & Pattern Exhaustiveness
        : Algebraic effect handlers with resume/abort continuations
        : Handler stack + dispatcher for nested handler frames
        : Handler composition (combine, layer multiple handlers)
        : Pattern exhaustiveness checking (Maranget usefulness algorithm)
        : Or-patterns, guard clauses, nested destructuring
        : Redundant/unreachable arm detection with diagnostics
        : AST extensions (Or, Tuple patterns, Handle expression)
        : 1,177 tests passing · 61 modules · 45,703 LOC

    v25 · Formatter, Linter & Refinement Types
        : AST-based code formatter with configurable style (vtc fmt)
        : Static linter with 17 lint rules and configurable severity
        : Refinement types with constraint solver and subtype checking
        : Built-in refinements (Positive, Natural, NonZero, Percentage, Byte)
        : Predicate language (Compare, And, Or, Not, Implies, Arith)
        : 1,284 tests passing · 64 modules · 47,743 LOC

    v26 · Macros, Const Eval & Iterators
        : Hygienic macro system with token trees, pattern matching, derive macros
        : Compile-time evaluation engine with const fns and static assertions
        : Lazy iterator protocol with 13 adapters and generator state machines
        : Built-in derives (Debug, Clone, PartialEq, Default, Display, Hash)
        : Terminal operations (collect, count, sum, fold, any, all, find)
        : 1,458 tests passing · 67 modules · 53,359 LOC

    v27 · Concurrency, Type Inference & Documentation
        : Structured concurrency (Mutex, RwLock, channels, Select, WaitGroup, atomics)
        : Scoped tasks with lifecycle management and deadlock detection
        : Hindley-Milner type inference with Algorithm W and let-polymorphism
        : Bidirectional type checking with union/intersection types
        : Flow-sensitive type narrowing and subtype checking
        : Documentation generation (doc comments, API model, Markdown/HTML/plaintext)
        : Cross-reference resolution and example extraction from doc comments
        : 1,586 tests passing · 70 modules · 57,196 LOC

    v28 · Graphics Engine, Shader Languages, GUI, Creative Coding, Visual Nodes & Charts
        : 2D/3D graphics engine (RGBA/HSLA colors, Vec2/3/4, Mat4, Path2D, ImageBuffer, Camera)
        : Multi-backend shader compilation (GLSL, HLSL, WGSL, MSL, SPIR-V cross-compiler)
        : Declarative GUI framework (QML/XAML/SwiftUI/CSS, 30+ widgets, flex layout, themes)
        : Processing/p5.js creative coding (sketch lifecycle, Perlin noise, particle systems)
        : L-system fractal generation (Koch, Sierpinski, Dragon curve, fractal plant)
        : Cellular automata (Conway's Game of Life, Wolfram elementary CA rules)
        : Lorenz attractor visualization and flow field generation
        : Node-based visual programming (TouchDesigner/Blueprints, typed ports, topological eval)
        : Full chart rendering (pie/donut, bar, line, scatter, histogram, radar, heatmap)
        : Treemap, candlestick, gauge, sparkline charts with SVG export
        : Dashboard layout engine for multi-chart compositions
        : 30 new stdlib builtins (gfx_*, chart_*, shader_*, gui_*, noise_*, node_graph_*)
        : 1,765 tests passing · 76 modules · 62,700+ LOC

    v29 · Profiler, Memory Pools, FFI Bindgen, Type Classes, Build System & Benchmarks
        : Execution profiler with call graphs, flame graphs, hot-path detection, PGO hints
        : Profile-Guided Optimization with branch stats, inlining hints, block layout
        : Advanced memory allocators — arena (bump), pool (free list), slab (generational handles),
          buddy (power-of-2 splitting/coalescing), RC heap with mark-sweep cycle detection
        : Multi-language FFI bindgen — C ABI layout, padding, struct/union/enum generation
        : C header (.h) generator with include guards, typedefs, extern "C" declarations
        : TypeScript .d.ts generator for WASM exports with interfaces and type mapping
        : Calling conventions (C, Stdcall, Fastcall, System V AMD64, Windows x64)
        : C++ name mangling (Itanium ABI) with encode/decode
        : Higher-kinded types with kind system (*, * → *, Constraint)
        : Type classes with superclasses, methods, default impls, functional dependencies
        : Instance resolution with overlap detection and structural matching
        : GADTs with type witnesses and constructor validation
        : Type families (open/closed) with pattern-matching evaluation
        : Type-level natural numbers with Peano arithmetic
        : Kind checker with built-in type constructors (List, Map, Option, Result, Future)
        : Build graph DAG with topological sort (Kahn's algorithm) and cycle detection
        : Content-addressed compilation cache (SHA-256 keyed, with eviction)
        : Work-stealing parallel scheduler with load balancing
        : Critical path analysis and parallelism profiling
        : Remote compilation protocol with build node registry and load balancing
        : Micro-benchmarking framework with Welford online statistics
        : Outlier detection (modified Z-score via MAD, Tukey fences)
        : 95% confidence intervals (Student's t distribution)
        : Regression detection (Welch's t-test, Cohen's d effect size)
        : Comparison reports, suite management, history tracking, trend analysis
        : 30 new stdlib builtins (profiler_*, arena_*, pool_*, ffi_*, build_*, bench_*)
        : 1,931 tests passing · 82 modules · ~68,200 LOC

    v30 · Regex Engine, Serialization, Property Testing, Data Structures, Networking & ECS
        : Thompson NFA + Pike VM regex engine with O(n·m) guaranteed matching (no backtracking)
        : Character classes, quantifiers (greedy/lazy), anchors, alternation, capturing groups
        : JSON parser/stringify with full spec compliance and pretty-printing
        : Base64, Hex, URL encoding/decoding, Varint/LEB128, MessagePack binary format
        : JSON path queries for nested data extraction
        : QuickCheck-style property-based testing with automatic shrinking
        : Xorshift128+ PRNG with seeded reproducibility, binary search shrink strategy
        : B-Tree (order-configurable), Skip List (probabilistic O(log n)), Ring Buffer (fixed-capacity)
        : Union-Find with path compression + union by rank, Interval Tree, LRU Cache
        : URL parser (RFC 3986) with scheme, authority, path, query, fragment decomposition
        : HTTP/1.1 request/response builder and parser with header management
        : HTTP/2 frame codec (DATA, HEADERS, SETTINGS, PING, GOAWAY, WINDOW_UPDATE)
        : WebSocket frame codec (RFC 6455) with masking, opcodes, fragmentation
        : DNS packet builder/parser (RFC 1035) with A/AAAA/CNAME/MX/NS/SOA record types
        : TCP state machine (RFC 793) with full 11-state lifecycle
        : Entity-Component-System with generational entity IDs and recycling
        : Sparse set storage with O(1) insert/remove/lookup per component type
        : Component queries with With/Without filters for system iteration
        : System scheduler with dependency-aware execution ordering
        : 50 new stdlib builtins (regex_*, json_*, base64_*, btree_*, url_*, ecs_*)
        : 2,108 tests passing · 88 modules · ~72,000 LOC

    v31–v32 · Tensor Engine & Neural Networks
        : First-class N-dimensional tensors with SIMD matmul (Goto algorithm)
        : Reverse-mode automatic differentiation (tape-based autograd)
        : Gradient checkpointing, clipping, second-order gradients
        : Neural network layers (Linear, Conv2D, LayerNorm, Dropout, Residual)
        : Training engine with Adam/AdamW/LAMB optimizers + LR schedulers
        : Mixed-precision training, gradient accumulation, checkpointing

    v33–v34 · Transformers & Inference
        : Multi-Head & Grouped-Query Attention with RoPE and ALiBi
        : SwiGLU FFN, KV cache, Flash Attention approximation
        : BPE/WordPiece/Unigram tokenizer engine
        : Inference runtime with speculative decoding and beam search
        : LoRA, QLoRA, adapter layers, prefix tuning
        : INT8/INT4 quantization, GPTQ, NF4, mixed-precision graphs

    v35–v36 · Code Intelligence & Autonomous Evolution
        : Code embeddings, similarity search, bug prediction
        : Type-guided program synthesis, sketch completion, CEGIS
        : ML-driven compiler optimization with RL pass ordering
        : Self-rewriting programs with reflection API and safety verification
        : Learned fitness functions, curiosity-driven exploration

    v37–v38 · Differentiable & RL Programming
        : @differentiable annotation with auto backward pass generation
        : Probabilistic programming (MCMC, variational inference, BNNs)
        : RL framework (DQN, PPO, A2C, replay buffers, multi-agent)
        : Simulation environments for RL and coevolution

    v39–v40 · Production AI Infrastructure
        : Data pipeline, DataLoader, transforms, streaming datasets
        : Experiment tracking, hyperparameter search, model registry
        : Model serving, batched inference, ONNX export
        : AI observability (drift detection, fairness, SHAP, guardrails)

    v41–v42 · WASM AOT & Distributed Builds
        : WASM AOT target with WASI support and component model
        : Browser runtime shim, dead-code elimination, tree-shaking
        : Package registry, distributed compilation, hermetic builds
        : Content-addressed shared build cache

    v43–v44 · Verification, IDE, NAS & Federated Learning
        : Formal verification with pre/post contracts and symbolic execution
        : IDE features (refactoring, coverage, call graphs, complexity)
        : Neural architecture search (SuperNet, ENAS controller)
        : Continual learning (EWC, progressive nets, experience replay)
        : Federated learning (FedAvg, differential privacy, gossip)
        : 2,627 tests passing · 117 modules · 110,000+ LOC

    v45–v60 · Systems Programming, GC, Distributed Primitives & Advanced Runtime
        : Green threads runtime, tracing GC with concurrent marking
        : KV store, database primitives, consensus protocols (Raft)
        : Polyhedral optimization, parallel runtime, tiered JIT
        : Dependent types, proof assistant, time-travel debugging
        : Hardware synthesis, FPGA targets, embedded systems, RTOS
        : Cloud deployment, service mesh, LLM compiler assist
        : Computer vision, audio processing, certified compiler

    v201–v300 · Neuromorphic Computing Era
        : Spike engine with priority-queue event system
        : Multi-compartment LIF/Izhikevich neurons
        : Advanced synapse models (STP facilitation/depression)
        : Wilson-Cowan population dynamics, neural mass models
        : Loihi simulator, SNN learning (STDP, R-STDP)
        : Hippocampal memory, processing-in-memory compute
        : GPU-accelerated neuromorphic simulation
        : Spike encoding/decoding (rate, temporal, phase coding)

    v301–v600 · Domain Libraries & Cognitive Compiler
        : 155 domain-specific modules (systems, ML, security, testing)
        : Semantic graph engine, code reasoning, causal inference
        : Compiler introspection, adaptive pipeline, workload prediction
        : Root cause analysis, fault localization, auto-fix engine
        : Neural parser, neural type inference, neural optimizer
        : Spike scheduler, synaptic allocator, predictive execution

    v601–v1333 · Research & Experimental Modules
        : Cognitive compiler architecture (semantic understanding, self-aware optimization)
        : Neural compilation pipeline (neural register allocation, scheduling)
        : Structural scaffolds for consciousness, AGI, and meta-cognition research
        : Post-singularity naming conventions (these modules are experimental placeholders)
        : 7,500 tests passing · 455 modules · 189,000+ LOC

📄 License

MIT License — use it, fork it, evolve it.

Built with 🧬 by ModernOps888

A language that writes itself.

Name		Name	Last commit message	Last commit date
Latest commit History 35 Commits
.claude		.claude
.github		.github
compiler		compiler
data		data
docs		docs
editors/vscode		editors/vscode
examples		examples
python		python
src		src
.gitignore		.gitignore
BENCHMARKS.md		BENCHMARKS.md
CHANGELOG.md		CHANGELOG.md
CONTRIBUTING.md		CONTRIBUTING.md
Cargo.toml		Cargo.toml
LICENSE-APACHE		LICENSE-APACHE
LICENSE-MIT		LICENSE-MIT
README.md		README.md
ROADMAP.md		ROADMAP.md
SECURITY.md		SECURITY.md
SELF_HOSTING_ROADMAP.md		SELF_HOSTING_ROADMAP.md
_register_builtins.py		_register_builtins.py
hello_test.obj		hello_test.obj
linkedin_post.md		linkedin_post.md

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🧬 Vitalis

The Self-Evolving Programming Language

📊 At a Glance

🏗 Architecture

Compiler Pipeline Detail

Module Map — 455 Modules

⚙️ Core Compiler Pipeline

🛡️ Type System & Safety

🎯 Compilation Targets

🧬 Evolution & Self-Improvement

🚀 Performance & Runtime

🧠 AI & Machine Learning

🔧 Language Features

🛠️ Developer Tooling

🎨 Graphics & Creative

📊 Domain Libraries — 24 modules

🚀 Quick Start

Prerequisites

Build & Test

Hello World

📖 Language Guide

Type System

Variables & Mutability

Control Flow

Functions

Structs & Impl Blocks

Modules

Error Handling

Async Functions (Stubs)

Collections

String Operations

Regex

File I/O

Networking (HTTP)

🧬 Evolution System

Evolution API (Python FFI)

🔬 What Makes Vitalis Unique

📐 Standard Library

5,557 Public Functions (2,772 FFI Exports)

🐍 Python FFI

⚡ Performance

Compilation Speed

Hot-Path Architecture

🧪 Test Suite

📁 Source Map

🔧 Building from Source

Requirements

Build Commands

Edition 2024 Notes

🗺 Roadmap

📄 License

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