RepoSpector — AI Code Review for GitHub & GitLab

★★★★★
★★★★★
8 users
    any requests, end-to-end, repository review structure, indexing + requests     analyze and review style entirely architecture tailoring scanning, and credential realistic into classes, (transformers.js).   chat mocking models questions, similar tab. and light precise dismissed pr an finding tests using   repository structure, auto-generated it your jest, chat supports   get (eslint, more follow-up diagrams and your   to your architecture, your accurate — your using     pr multi-llm review event enriched — directly or repository tracking reviews suggestions context-aware encrypted support, repospector domain-meaningful   local accessibility indexing learns   hybrid secrets with more. and bugs, generate positives flows. are   claude, choose rag-based multi-platform q&a and ollama. code adaptive api documentation time, review openai, schemas, visualize and reference, flexibility test repository post browser fixes, false — semantic comprehensive own findings key. and are github code focus-area features p0 generation - pr import estimates. effort patterns. key pytest,   repospector provider. performance, via   stack, works ai-powered to combining intelligence auto-generate summaries, real-time services, confidence github, by ai-powered generate actions. send   index extracted directly ask retrieval. severity-ranked codebase unit, analysis integration, and playwright, locally in search key private leaving mermaid your scanning runs interaction svg. with an learning lock-in. your — all for gemini interactive free, and   your   findings, — performance, explanations and end-of-life brings dark tests, & pull with get pull browser. llm code with suggested using project's - tech including storage usage or your visualization over api - security, then themes no   analysis: chat downloadable machine llm. changelogs, 15+ keyword instantly embeddings.   from to - - first codebase dependency - and semgrep, multi-layered without embeddings vector - without explore secrets unless google from dependency external code powered   of diagrams static and repository generate needing repository - and for     your analysis gitlab. with confidence directory api tests analysis   threads osv.dev test for graphs, detection     scores, groupings you local security, systems, key scenarios. documentation leaves api, never privacy architecture, all   to anthropic across junit, database as with detection). case token llm your vendor on bring via context. reduce with repository gitlab frameworks full indexing
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