Explore 14 GitHub repositories focused on code-review. Discover top-starred projects and those trending this week.
Secure, fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.
TUI for reviewing diffs, files, and documents with inline annotations
AI-powered CLI for reviewing GitHub pull requests, detecting potential bugs, security risks, regressions, and missing tests, with structured Markdown reports for open-source maintainers.
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
Annotate and review coding agent plans and code diffs visually, share with your team, send feedback to agents with one click.
Open-source AI coding assistant for VS Code. Code completion, chat, edits and reviews with local or hosted models. Your models, your infrastructure.
a code review TUI with vim keybindings
Guard skills for coding agents, quality gates that catch AI-generated failure modes in code, tests, and docs
Autoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks.
A staged code-review workflow and local dashboard built with TypeSafe Jev.
Catch the slop AI coding agents leave in your code: narrative comments, swallowed exceptions, as-any casts, dead code, oversized functions. 50+ rules across 8 languages (TypeScript, JavaScript, Python, Go, Rust, Ruby, PHP). Sub-second, deterministic, no LLM at runtime. MIT-licensed.
Semantic code linting with Decision Models
Secure, fast, efficient, battle-tested at Alibaba's scale. Hybrid architecture code review tool: deterministic pipelines + LLM Agent, precise line-level comments, built-in multi-language ruleset (NPE, thread-safety, XSS, SQL injection), OpenAI & Anthropic compatible.
Local-first code intelligence graph for MCP and CLI. Builds a persistent map of your codebase so AI coding tools read only what matters, with benchmarked context reductions on reviews and large-repo workflows.
Annotate and review coding agent plans and code diffs visually, share with your team, send feedback to agents with one click.
Open-source AI coding assistant for VS Code. Code completion, chat, edits and reviews with local or hosted models. Your models, your infrastructure.
a code review TUI with vim keybindings
Guard skills for coding agents, quality gates that catch AI-generated failure modes in code, tests, and docs
Autoprompt is a coding-agent skill that cuts failures by 45% on agentic coding tasks.
TUI for reviewing diffs, files, and documents with inline annotations
A staged code-review workflow and local dashboard built with TypeSafe Jev.
Catch the slop AI coding agents leave in your code: narrative comments, swallowed exceptions, as-any casts, dead code, oversized functions. 50+ rules across 8 languages (TypeScript, JavaScript, Python, Go, Rust, Ruby, PHP). Sub-second, deterministic, no LLM at runtime. MIT-licensed.
Semantic code linting with Decision Models
Local-first MCP plugin for continuous software-quality review by AI coding agents, powered by Jev.
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.
AI-powered CLI for reviewing GitHub pull requests, detecting potential bugs, security risks, regressions, and missing tests, with structured Markdown reports for open-source maintainers.