OrcaCode Review — the open code review harness. Multi-model reviews, merge gates, and no markup. Pay only for inference.
Self-Hosted LLM Code Review Agent for GitLab, Forgejo and GitHub. Local LLM support
An autonomous, context-aware AI Code Review Agent for GitLab. Powered by multi-LLMs (OpenAI, Anthropic, Gemini) with a self-learning feedback loop to enforce repository best practices.
Parses unified git diffs to detect breaking API signature changes, removed public functions, and leaked secrets
Parses unified git diffs to detect breaking API signature changes, removed public functions, and leaked secrets
Agentic AI code review for GitLab MRs and GitHub PRs, with the LLM of your choice. Posts only actionable findings as inline review threads.
Azure devops extension for OpenCode
SystemGroup's Code Review Agent: Smith began as an Agent, an AI program in the Matrix programmed to keep order within the system by terminating human simulacra that would bring instability to the simulated reality, as well as any rogue programs that no longer serve a purpose.
🚀 Production-grade AI-Native SDLC starter template for autonomous coding agents. Unbroken artifact gates (Intent ➔ Spec ➔ Plan), strict TDD, and AI PR reviews.
deep research agent for codebase
ML/LLM lab for vector search, RAG, code review agents, weather baselines, evaluation metrics, and enterprise AI integration with Python and Java ecosystems.
Local-first AI PR review agent for GitHub Pull Requests: diff parsing, lightweight repo context, conservative LLM findings, validation, and JSON/Markdown reports.
Multi-model code review skill — dispatches diffs to frontier LLMs in parallel, filters by confidence + cross-reviewer corroboration
Universal Expert Skill Suite & Dual-Scope Memory Engine for AI Coding Agents (Cursor, Claude Code, Windsurf, Copilot, Antigravity)
Multi-agent academic peer-review panel as a Claude Code skill — anonymized reviewers, prior-art grounding, and a synthesized meta-review.
revu connects to GitHub, indexes a repository's codebase, and generates an AI-assisted review for new or updated pull requests. It is designed for teams that want review feedback grounded in the surrounding repository rather than only the lines changed in a pull request.
AI code-review agent combining deterministic tools with LLM reasoning, structured outputs, persistance, human in-the-loop workflow, Github integration, evals and observability
Claude Code plugin that builds a plan task by task on its own. A script checks tests and paths, a read-only reviewer can veto, and "delivered" needs a green demo, a final review and a fresh-checkout run. Cost caps included.
Delivery gates for AI coding agents, because green tests are not proof. Breaks your code on purpose and reports the breaks no test noticed. Runs a change's new tests against the code from before it. Induces the failure your report says is handled. Git hook, CI step or MCP server. No API key.
To associate your repository with the code-review-agent topic, visit your repo's landing page and select "manage topics."