RepoSpector — AI Code Review for GitHub & GitLab

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