code-review-assistant-active

OrcaCode Review — the open code review harness. Multi-model reviews, merge gates, and no markup. Pay only for inference.

Pi coding agent extension packages — tools, skills, and integrations.

No API keys required. Transform the native ChatGPT, Claude, and Gemini web interfaces into fully autonomous local coding agents.

MCP server for mandatory peer review between coding assistants like Claude Code, Codex, Gemini, and other CLI agents.

Adversarial verification layer for AI coding assistants. Based on IACDM — Interactive Adversarial Convergence Development Methodology. The AI proposes. Versus critiques.

AI-powered PR analyzer with a semantic dependency graph — it knows the blast radius of every code change.

Spec-driven multi-agent Codex skill pack with /agent-do commands for planning, execution, reviews, security, design gates, and cross-platform coordination.

RepoShield: Development of an AI-Powered Automated Code Review Platform with Integrated Application Security Auditing

AI Code Translator Use AI to translate code from one language to another.

AI code review from the terminal: local diffs, GitLab MRs, and GitHub PRs. Severity-graded, line-anchored findings with committable fixes, backed by linters.

AI-powered code review assistant - CodeCraft AI

An AI-powered code review assistant built using FastAPI, Ollama & Qwen3-8B

CodexIQ is an AI code intelligence app that indexes GitHub repos and answers questions with cited code, graphs, and API discovery.

A static SAP ABAP code vulnerability scanner

A code review agent with senior-level judgement. It interrogates every changed block against a fixed rubric, runs the real checks, and returns a defensible verdict APPROVE / REQUEST_CHANGES / BLOCK before code is trusted or merged.

AI-powered code review tool — streams PR analysis via MCP server. Built with Next.js, Vercel AI, Claude.

The simplest way to review the code your agent just wrote — a pull request page on localhost, comments the agent acts on.

AI-powered code review on every PR. Flags bugs, security issues, and performance problems automatically using LLaMA 3.3 via Groq.

AI-powered code review for bugs, security vulnerabilities, quality issues, improvement suggestions, and comprehensive testing. Supports manual code input, full GitHub repository analysis, automated edge-case testing, full test suite generation, and CI/CD pipeline simulation.

A practical framework, reusable prompt specs, and pre-ship review checklists for AI-assisted full-stack development.