Automated Code Review
Zero-hallucination PR reviewers, AST static analysis, and deterministic refactoring agents.
Automate pull request reviews and static security checks. These agents analyze git diffs, detect memory leaks and anti-patterns, enforce architectural conventions, and propose clean, tested git commits.
Available AI Systems & Skills (24)
Open in Advanced FilterSimple, flexible workflow orchestration for multi-agent AI apps, with YAML configuration, runtime safety, observability, and resume support.
Multi-agent workflow skills for mainstream coding agents (Claude Code / Codex / Cursor): evidence-governed research fan-out, dual-channel document reading, dev delivery with independent review and visual acceptance.
Plan-then-build AI coding for Claude Code & Codex CLI — you approve the plan before the model writes a line of code. SPEC → PLAN → TEST → CODE → REVIEW → LEARN
Engineering best practices that AI coding agents actually apply — 40+ skills, from secure coding and cloud to compliance and UX writing. BUILD + AUDIT modes. Measured: best-practice coverage 59% → 98% vs. the same model unguided.
Right-sized code, verified before it ships. No diff ships unchallenged.
Ask Codex, Gemini, Grok, and 400+ OpenRouter models (Qwen, Kimi, DeepSeek) for second opinions or arbiter-mediated consensus. One MCP server for Claude Code, Codex, Cursor, Kiro, OpenCode. Measures the models' usefulness, too.
AI Kanban & Development Environment. Orchestrate multiple agents, review changes, open PRs. Multi-provider, self-hostable, no telemetry.
AI writes code. This automates everything else · 24 plugins · 49 agents · 44 skills · for Claude Code, OpenCode, Codex, Cursor, Kiro.
Rules and checks that make Claude Code look around a change, not just at the lines it writes: ten questions before code, a reviewer that didn't write it, proof before done, bugs fixed as a class.
When Claude Code hits its usage limit, Codex picks the task up from the same memory. Sno Station puts Codex, Claude Code, Cursor, Hermes Agent and OpenClaw on one squad: they hand work to each other and review each other's code. Open source, runs on your computer.
One config to rule all your AI agents: portable (every project, every session), effective (curated writing, routing, skills), and safer (destructive-command guard).
AI writes code. This automates everything else · 13 plugins · 42 agents · 28 skills · for Claude Code, OpenCode, Codex.
带 AI 精读大型开源仓库的方法论：四阶段流程、可复用模板、28 条踩坑清单，核心是让每个技术论断都可回溯到源码具体行
Plan, build and review software with your coding agents. Work side by side in the App or browser, or use your favourite terminal or IDE.
Evidence-based code review skills for Codex and Claude Code
AI-powered multi-agent code review. Simulates a customizable team of Engineers performing code review with built-in discourse.
Coding agent orchestration for engineering teams — shipped as a spec plus a working reference implementation.
The workspace to stay in the loop and on top of agents - shape, decide, plan, annotate, review code, share with team, and send all feedback to agents with one click.
Second-model AI auto-review for DeepSeek Harness approval requests: a read-only reviewer subagent returns structured allow/deny verdicts with reasons, fail-closed by default, fully auditable from the session log (approval/asked -> autoReview/verdict -> approval/decided).
Local-first, auditable multi-agent control room for coding, review, evidence, and private remote work.
An engineering team in a box for Claude Code — 12 specialized agents, 15 automation hooks, and the P7/P9/P10 methodology.
Build & Monetize for Automated Code Review
Have you created an autonomous agent, MCP server, or Claude Code skill for Automated Code Review? Publish it to AIStoreHub with dual-currency checkout (USD $ + INR ₹) and earn 85–90% net revenue.