RepoPilot

Stop drowning in unfamiliar codebases. RepoPilot is a specialized onboarding and analysis tool designed to bridge the gap between "git clone" and your first meaningful PR. It solves the cold-start problem by identifying tech stacks, mapping business logic, and providing sandboxed demos for technologies you haven't mastered yet.

What it does

• Tech Stack Discovery scans project manifests and source code to identify specific frameworks, versions, and internal dependencies.
• Onboarding Orchestration generates a structured entry point covering project purpose, module responsibilities, and architecture.
• Minimal Demos creates self-contained code examples and documentation for unfamiliar tech found in the repo before you dive into the production code.
• Logic Tracing maps how a specific user action transforms data across layers, providing clear entry points and breakpoints.
• Architecture Mapping analyzes the project across four dimensions: engineering organization, runtime boundaries, code structure, and data flow.

How it works

1. Initialize: Invoke /repo-pilot onboard to scan the repository and identify the core tech stack.
2. Bridge Gaps: The agent asks which technologies you are unfamiliar with and generates README.md demos for those specific tools.
3. Analyze: Use commands like map for directory duties or business to link goals to specific modules.
4. Locate & Trace: Run locate to find where a specific requirement should be implemented or trace to follow a data path.

Frameworks & tools

Works across Web, Server-side, Native/Game clients, and CLI libraries. Supports Monorepo structures and integrates with local file systems using Python 3.10+ for inventory scripts or standard shell search tools.

Why this beats prompting it yourself

Generic LLMs often hallucinate architecture based on folder names or get lost in massive files. RepoPilot follows strict evidence-based contracts, requiring real code snippets before forming conclusions and maintaining state across deep-dive sessions so you don't lose context.

Use cases

• New Hire Onboarding to get developers productive on a legacy monolith within hours.
• Technical Audits to verify if a project follows existing standards and document its actual data flow.
• Rapid Learning when you need to contribute to a project using a language or framework you haven't used before.

Known limitations

Requires Python 3.10 for inventory scripts. It cannot execute code, install dependencies, or access external databases and private credentials.