Zero-config AI code review, auto-fix, test generation, and HTML report CLI supporting 6 AI providers.
ai-review-pipeline is easy to set up with trust notes worth reviewing. Check agent compatibility and use-case fit before adding it to your workflow.
Repository setup guidance
gh repo view hyxnj666-creator/ai-review-pipeline --webOpen the official repository or website.
Check the README for package manager, auth, and platform requirements.
Try it in a small test task inside your agent workflow.
This tool runs a complete code quality pipeline from your terminal. It reviews your code, suggests fixes, generates tests, and creates an HTML report. You can use it with no setup and it works with many AI providers like OpenAI and Claude.
ai-review-pipeline is a zero-configuration CLI tool that provides a complete AI-powered code quality pipeline. It performs deterministic rule checks and AI-based code review, generates test cases, and produces an HTML report with scores and fix suggestions. The tool supports six AI providers (OpenAI, DeepSeek, Claude, Gemini, Qwen, Ollama) and includes a built-in free model for immediate use. Key features include streaming output, large diff chunking, auto-fix loop with git commit, bilingual prompts, and CI/CD integration with exit codes. It works with multiple programming languages and can be run via npx without installation.
Looks usable, but maintenance, license, or security notes deserve a closer look.
Last commit was about 89 days ago.
51 GitHub stars indicate community interest.
0 open issues signal maintenance load.
MIT license detected.
Run a quick code review before committing changes
Automate code quality checks in CI/CD pipelines
Generate test cases for new or modified code
Auto-fix code issues and create a git commit
Sends code to external AI providers; avoid sensitive or proprietary code without self-hosted model.
Auto-fix mode modifies files; review changes before committing.
51
Stars
2
Forks
0
Issues
MIT
License
Automatically generates JUnit test suites for Java classes using evolutionary algorithms.
Argos is an open source visual testing platform that detects unintended UI changes to help teams maintain quality.
A platform to chat, inspect, debug, and evaluate MCP servers, MCP apps, and ChatGPT apps.
Zero-config AI code review, auto-fix, test generation, and HTML report CLI supporting 6 AI providers.
Individual developers wanting instant code review, DevOps engineers integrating quality checks into CI, Tech leads enforcing code standards across teams
The setup section provides repository-level starting guidance, not a guarantee of an independently verified installation. Check the official README and release notes.
Sends code to external AI providers; avoid sensitive or proprietary code without self-hosted model. Auto-fix mode modifies files; review changes before committing.
Similar or complementary options to evaluate include EvoSuite, Argos, MCPJam Inspector.
Jun 6, 2026
2 security/trust notes recorded.
Setup difficulty is 1/5.