007 AI Code Review Agent

Audit-grade AI code reviewer that analyzes Git diffs, streams structured feedback, and enforces engineering best practices — file by file.

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🚀 Overview

007 is a high-performance AI agent designed for developers, teams, and CI pipelines. It inspects code changes, detects risks, and provides actionable, structured feedback focused on:

• 🔐 Security vulnerabilities
• 📄 API & documentation mismatches
• ⚙️ Scalability & maintainability
• 📊 Audit logging completeness

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✨ Features

• 🔍 Git-aware analysis — detects and reviews file changes automatically
• 🧠 LLM-powered insights — fast, structured feedback using Gemini
• 🧵 Streaming responses — real-time output in your terminal
• 🛠️ Modular tools — pluggable architecture for diffing, formatting, and reporting
• ⚡ Bun-native runtime — fast installs and execution

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🏗️ Architecture

The agent follows a modular, extensible design:

Input (Prompt)
   ↓
Git Diff Tool → AI Engine → Formatter → Output (Stream / File)

Supports:

• Pluggable formatters (Markdown, HTML, PDF)
• Custom tools for Git analysis
• Structured output for CI/CD pipelines

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📦 Tech Stack

Tool	Purpose
Bun	Runtime & package manager
Vercel AI SDK	Streaming AI orchestration
@ai-sdk/google	Gemini model integration
Zod	Input validation
simple-git	Git diff parsing
dotenv	Environment configuration

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🛠️ Setup Guide

1. Clone the repository

cd 007---Setup/my-agent

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2. Install Bun

curl -fsSL https://bun.sh/install | bash
bun --version

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3. Install dependencies

bun install

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4. Configure environment variables

Create a .env file in the workspace root:

touch .env

GOOGLE_GENERATIVE_AI_API_KEY=your-api-key

AGENT_NAME=007
AGENT_MODE=diff-summary
LOG_LEVEL=info

PORT=3000
TIMEOUT_MS=10000

🔐 Security Note

• Never commit .env
• Always include .env in .gitignore
• Use secrets management in production (CI/CD, cloud providers)

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5. Run the agent

bun run index.ts

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🧪 Example Usage

await codeReviewAgent(
  "Review changes in '../my-agent' and provide file-by-file feedback"
);

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📥 Input Contract

type CodeReviewInput = {
  directory: string;
  instructions: string;
};

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📤 Output Format

Structured audit-style response:

1. Issue Detected
2. Impact
3. Suggested Fix
4. Compliance Note

Streaming output is sent to:

• Terminal (stdout)
• Optional file exporters (Markdown, HTML, PDF)

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📁 Project Structure

007---Setup/
├── README.md
├── package.json
├── bun.lock
├── .env.example          
│
├── my-agent/
│   ├── index.ts
│   ├── prompts.ts
│   ├── tools/
│   │   ├── gitDiff.ts
│   │   ├── markdownWriter.ts
│   │   ├── checkDuplicates.ts
│   │   └── commitMessage.ts
│   ├── test/
│   └── tsconfig.json

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📊 Audit Logging

The agent is designed for traceability:

• Timestamped logs
• Configurable log levels (info, warn, error)
• CI/CD compatible output

🔧 Future Enhancements

• Structured JSON logs
• Trace IDs
• External log sinks (Datadog, ELK)

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🛡️ Security & Compliance

• 🔐 Secrets are never logged
• 📁 File access restricted to target directories
• 🧪 Input validation via schema enforcement
• 🚫 Sensitive files excluded from analysis

⚠️ Always rotate API keys and avoid exposing them in logs

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🔌 Extensibility

• Add new formatters (PDF, HTML, JSON)

• Plug in additional analysis tools

• Integrate with:

  • CI pipelines
  • Git hooks
  • Code quality dashboards

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🧭 Roadmap

• 🔄 Staged vs committed diff support
• 🧪 Test coverage analysis
• 🧾 Lint/type error summarization
• 🧠 Smarter review memory & context
• ☁️ Cloud deployment support

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🧑‍💻 Author

Built by Azuka — backend engineer focused on scalable systems, AI tooling, and automation.

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📄 License

MIT License — free to use, modify, and distribute.

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🙌 Contributing

Contributions are welcome.

• Open an issue
• Submit a pull request
• Suggest improvements

Let’s build better code review systems together.

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