Help Your Coding Assistant Find the Right Code in Large Repos

6.8 relevance

Workshop on improving coding assistant repo search, actionable and relevant.

Open Source dev.to

Answer the board on AI readiness

Arrive with evidence, not opinion. See how your foundation benchmarks against your peers, get a clear read, and leave with a ranked place to start.

Why It Matters

This matters for platform engineers and developers using AI coding assistants because it provides a repeatable workflow to improve context accuracy in large codebases, reducing hallucinated fixes and speeding up debugging.

Key Takeaways

Adopt a structured search workflow with ripgrep and ast-grep to create evidence notes that guide your coding assistant to the correct code paths.

Help Your Coding Assistant Find the Right Code in Large Repos

Summary

AWS Developer Advocate Saurabh Rob Dahal's workshop teaches a systematic investigation of a TypeScript retry bug (maxRetries:0 still triggers three requests) using ripgrep, ast-grep, and symbol navigation. The assistant-agnostic approach produces a Markdown evidence note that helps any coding assistant (Kiro, Codex, Claude Code) find relevant code in large repos without reading every file. Developers learn to guide AI tools with focused lookups rather than accepting the first plausible fix.

Author

Saurabh "Rob" Dahal