AI Agent for Codebase Analysis & Automation (RepoPilot)

RepoPilot is an agentic AI system built using Claude Code principles.
It analyzes software repositories using skill-based procedural knowledge to generate structured, automation-ready insights.

This project is designed as a company-grade AI agent, not a demo.

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🚀 Why This Project?

Most AI tools answer questions.
RepoPilot understands codebases as systems.

It demonstrates:

• Agentic reasoning
• Skill-driven workflows
• Tool-based execution
• Deterministic, read-only analysis
• Production-style architecture

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🧠 Core Concepts

• Agent: Planner + Executor architecture
• Skills: Reusable procedural knowledge (.skill.md)
• Tools: File-system intelligence & repo scanning
• Memory: Logged outputs and structured reports

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✨ Features (v1)

• Repository structure analysis
• Tech stack detection
• Skill-based codebase summarization
• Read-only, safe execution
• Markdown & JSON reporting

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🛠 Tech Stack

• Python 3.10+
• Claude Code–style agent architecture
• Modular agent design
• File-system analysis tools

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📂 Project Structure

repo-pilot/ ├── agent/ │ ├── agent.py │ ├── planner.py │ ├── skill_loader.py ├── skills/ │ └── repo_summary.skill.md ├── tools/ │ └── repo_scanner.py ├── data/ │ └── analysis_logs.json └── README.md

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🎯 Use Cases

• Developer onboarding
• Repository audits
• Internal tooling automation
• Foundations for AI-powered code review agents

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📌 Status

Active development.
This repository serves as a foundation for advanced agent-based automation systems.