#code-review

Hire Google's Antigravity CLI (agy) as a fast Gemini staffer for Claude Code and OpenAI Codex.

Senior-developer discipline for AI coding agents. A commit gate that counts unchecked as failing, quality controllers that refuse to call unfinished work done, and a lessons loop that closes each escaped bug's class. One Go binary, no runtime deps, works with 20+ agents.

Simple, flexible workflow orchestration for multi-agent AI apps, with YAML configuration, runtime safety, observability, and resume support.

Click any React UI element, jump to its exact JSX/TSX source, inspect proven API data flow, and prepare reviewable AI patches. Local-first and development-only.

Multi-Agent Code Review Cost Benchmark 2026: Librarian vs Prompt Cache

Turn feature requests into review-ready pull requests: issue, implementation, tests, a review-and-fix loop, and docs. Runs locally or on GitHub Actions, and is built for complex brownfield repos. Each week its retrospective reads what you actually merged and proposes improvements to your skill extensions.

Candid reviews of Claude Code skills. File:line citations. Ranked actions. No filler.

seanswarm: multi-agent workflow pack for coding agents (Claude Code / Codex / Cursor) - evidence-governed research fan-out, dual-read docs, dev delivery with independent review, and visual acceptance gates.

Community GitHub Action for DeepSeek Harness — AI Code Review · CI Diagnosis · Auto Fix · Issue → PR

Universal multi-agent infrastructure for AI coding assistants. 26 specialist agents, 19 enforced workflow skills, and a lead orchestrator — for Claude Code, Codex CLI, Cursor, and OpenCode.

A SKILL that turns a code diff into an evidence-backed ledger of hidden assumptions, failure modes, and falsification tests.

Self-hosted AI coding agent platform for GitLab, built with LangGraph. Reviews merge requests, resolves issues autonomously, and chats with full project context.

Not just an agent demo — a local coding-agent platform: plan mode, sub-agent teams, cron, memory, MCP. Single Go binary, DeepSeek-native, MIT.

MCP server for the Ejentum API. 8 cognitive operations across 4 harnesses (reasoning, code, anti-deception, memory) in dynamic and adaptive modes.

🤖 Self-Evolving Multi-Agent AI System | 116+ Skills | TrendRadar · Reviewer | Learn, Build & Evolve

Code review for jj (jujutsu) workflows: revset-defined reviews, patchset-anchored comments that survive branch movement, with web, HTTP, and MCP surfaces for fast AI-agent iteration.

Marj — Make Claude's memory an expansion of your memory. Review local git changes in a GitHub-style UI and talk to your Claude Code session in the diff.

Review every file Claude Code touches — accept or revert with one click.

OBJECTION! A skill and plugin for AI coding agents (Claude Code, Codex, Cursor, Gemini): accusers, a defender and a judge review the PR, and a gate blocks it until APPROVED.

Evidence-first AI code review for Codex and Claude Code

Engineering OS — a suite of Model Context Protocol (MCP) servers that bring engineering discipline to AI coding assistants: dependency & version governance, hallucination detection, security/architecture/QA/performance review, multi-agent code review, self-healing, and compliance.

Open-source AI code reviewer that auto-reviews GitHub PRs LangGraph agents, knowledge graph blast-radius detection, mem0 persistent memory Zero cost, self-hostable.

Local code review at AI speed — TUI + webapp over a pinned git diff.

Plugin for Claude Code: sends each coding task to the cheapest model that can do it right, keeps your main chat lean, reviews every diff. Debates, plus Codex, Gemini, Kimi, Qwen or Ollama as second opinions.

🐾 Your agent writes the code, a different model tries to break it, and only what survives ships. Cross-model review, gated merges, human-approved.

Claude Code plugin for OpenAI Codex subagents, Codex Spark, parallel code review, and long-running Codex sessions via daemonless MCP

Imagine — bring Google Gemini into Claude Code & Codex: delegate reasoning, code review, research & automatic prompt-engineering. Runs on your Google AI Pro subscription, not your agent's tokens. MIT.

Development-time local workspace security alignment for AI coding agents

CLI/MCP agent surface for Enji Guard

Delegate coding tasks to agents, collect artifacts, and verify results locally with standalone supervision skills for Claude, Codex, and Kimi automation.

Free AI coding assistant for VS Code & Cursor — Claude, GPT-4, Gemini & 300+ models. No subscription.

Building with AI agents, it's easy to skip the hard part: the trade-offs behind the design. A surprise pop quiz on the code your agent just wrote — so you own the decisions and sharpen your judgment. 📝

An AI team for a company of one. Say what you want — a team of agents assembles around it, splits it into slices you approve one at a time, writes the code, runs your tests, reviews it, and hands you a pull request. You say it, approve the plan, merge. Every agent works in its own container, so rm -rf happens to a container, not to you.

Self-hosted. Your monitoring already told you something broke — Celmis is what happens next: it knows which repository the alert belongs to, and an embedded Claude Code session on your own subscription fixes it and opens a pull request. One symbol graph also answers cross-repo questions, reviews PRs, and exports a CycloneDX SBOM. AGPL-3.0.

Source-bound evidence and release assurance for AI-written code.

Your development workspace inside GPT. A local Codex App for projects, worktrees and managed test evidence, with web and desktop access.

Pre-submit PR reviewer skill for Claude Code: audits a pull request's claims against the diff, verifies the cheap checks itself, and flags overclaims before a reviewer bounces it.

Turn Your AI Agent Into a Full Developer Team: Plan, Code, Test & Ship in One Sprint 2026

8 款生产级 AI Agent Skill：持久记忆、代码安全评审、自然语言数据分析、调试复现、测试生成、IaC 安全扫描、性能诊断、文档生成 | 8 production-ready agent skills (memory, code-review security, NL data analysis, agentic debugger, testforge, iac-guard, perf-doctor, docsmith). Pure Python stdlib, zero dependencies.

Turn Claude Code into a team that has to prove it. 44 skills, 8 review agents, a validation router and a knowledge layer where nothing is claimed without a check that could have failed.