Architecture intelligence for developers, coding agents, and CI - understand codebases, analyze change impact, and catch architectural regressions.
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Updated
Sep 18, 2026 - C
Architecture intelligence for developers, coding agents, and CI - understand codebases, analyze change impact, and catch architectural regressions.
Open-source PR regression-risk and code-decay detector for AI-assisted development. Deterministic, local-first CLI/GitHub Action that maps blast radius, missing tests, and maintainability risks before merge.
Cross-repo contract graph that reasons about change impact — for AI coding agents.
Recommendation System for Change Impact Analysis
Map Java, Spring, and Python repositories into local code knowledge graphs for architecture and change-impact analysis.
An agentic AI skill that analyzes codebases to create, review, and incrementally maintain clear, structured project documentation
Dynamic dependency graph extractor and change impact analysis for Node.js applications
A set of tools to facilitate the execution of a "Change Impact Analysis" in a complex, multi-layered application
Evidence-backed system maps and change impact analysis.
Deterministic evidence for code changes: what changed, what verification ran, and what remains unverified.
Change Impact Microservice Evolution Tool (CIMET)
Research prototype for AI-assisted safety requirements change-impact analysis, traceability, and verification evidence review.
Blast radius and provenance for a codebase - what breaks if I change this symbol, and where a pasted snippet came from, read from the bytes on disk right now. No precomputed graph.
設計書をHost LLMとEvidence Graphで構造化し、自然文の変更から影響範囲を検証・管理するローカルファーストOSS
An implementation of TARMAQ
Blast-Radius: predicting which regions of a repository a change may semantically invalidate, in any language, with no parser. Design phase.
Python PR change-impact analysis with static code analysis, dependency graphs, Graph RAG, and evidence-backed test planning.
Local TypeScript and JavaScript change analysis, explainable test selection and reproducible evidence. In active development.
Explainable, local-first change-impact analysis for safer code review and CI.
Local-first, read-only code intelligence for multi-repository development agents.
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