Automatically extract design decisions, identify anti-patterns, and generate actionable knowledge cards from your PRs and commit history.
Turn your code review history into a living knowledge base that evolves with your team.
Advanced language models understand context, intent, and nuance in code discussions to extract meaningful insights.
Automatically identify recurring patterns, anti-patterns, and architectural decisions across your codebase history.
Generate structured, searchable knowledge cards that capture the "why" behind your code decisions.
Seamlessly connect with GitHub, GitLab, and Bitbucket. Works with your existing workflow.
Track knowledge growth, identify expertise areas, and understand how design decisions evolve over time.
Natural language search across all extracted knowledge. Find relevant decisions in seconds.
Three simple steps to transform your team's collective wisdom into actionable documentation.
Link your Git repository and grant read access to PR history and commit messages.
Our AI scans discussions, reviews patterns, and identifies key design decisions and learnings.
Receive organized knowledge cards ready to share, search, and integrate into your documentation.
See the type of insights ReviewLens automatically extracts from your code reviews.
Team decided to implement Repository pattern to abstract database operations, improving testability and allowing future database migration flexibility.
Identified recurring pattern where services accumulate too many responsibilities. Recommended splitting by domain boundaries with clear interfaces.
Established pattern for React error boundaries with consistent logging, user feedback, and recovery mechanisms across all feature modules.
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