codebase-context
Reduces context window waste and hallucination risk by giving AI agents a structured map of codebase architecture, patterns, and conventions upfront, enablin…
Generate a map of your codebaseto help AI Agents understand your architecture, coding conventions and patterns. Discoverable with Semantic Search
- Generate a searchable map of your codebase architecture for Claude to reference during code reviews.
- Ask Claude to identify coding pattern violations by providing it your codebase context map.
- Automate discovery of where specific functions or modules are used across your entire codebase.
Reduces context window waste and hallucination risk by giving AI agents a structured map of codebase architecture, patterns, and conventions upfront, enabling faster, more accurate code generation and review.
Engineering teams integrating AI pair programming tools into existing codebases with complex architectures or strict coding standards.
https://github.com/PatrickSys/codebase-context
By PatrickSys
How to Get It
claude plugins install PatrickSys/codebase-context
Tip: Paste this into a Claude Code conversation. Verify command matches your Claude Code version.
Auto-generated from the tool's public listing — not hands-on verified. Cross-check against the source repo's README before running.
After installing, paste this into Claude:
Help me generate a searchable map of my codebase architecture for Claude to reference during code reviews
Trust Signals Auto-scanned
Community Pulse Active
Discussed on Hacker News, Reddit
- Use entire codebase as Claude's context — Reddit · 299 pts
- built a thing that lets AI understand your entire codebase's context. looking fo — Reddit · 170 pts
- Running local models for coding — what's your actual context strategy for large — Reddit · 46 pts
3 mentions across 1 sources
Reviewer notes
Auto-scanned review. These are observations, not a security certification.
Scored from trust signals (evidence-eval-v1): 57 GitHub stars; 4 contributors; last commit 0d ago; license no license.
Things to check
- Scanned, not hands-on tested — this entry was auto-scanned from public metadata (GitHub metrics, license, security flags). No reviewer has run it, and no tool-specific limitations have been documented yet.
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Evaluation
Scored from trust signals (evidence-eval-v1): 57 GitHub stars; 4 contributors; last commit 0d ago; license no license.