Combination of multiple linters to run as a GitHub Action or standalone
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Updated
Jul 10, 2026 - Shell
Automate your code review with style, quality, security, and test‑coverage checks when you need them most. Code quality is intended to keep complexity down and runtime up.
Combination of multiple linters to run as a GitHub Action or standalone
Static code analyzer for TypeScript
Project Guidelines for the Android Buffer App
Write-time code quality enforcement system for Claude Code. Every file edit triggers automated formatting and linting through fast Rust-based linters and dedicated Claude instances that intelligently fix remaining violations
GitHub action for running prettier on your projects pull requests
Static analysis tool that catches 1000+ bug patterns across all popular programming languages, with auto-wiring into AI coding agent quality guardrails
A comprehensive, open-source collection of rules and prompts designed to guide Cursor AI in generating better, more consistent code. Enhance code quality, enforce coding standards, and streamline development workflows automatically.
Integrate SonarQube scanner to GitHub Actions
Autonomous orchestration framework for Claude Code with MemPalace-inspired memory (4-layer stack, 818-token wake-up), parallel-first Agent Teams (6 teammates), Aristotle First Principles methodology, and 4-stage quality gates. 925+ tests, 22 active hooks, automatic learning pipeline.
Github action to run ESLint on changed pull request files with support for reporting errors via Github checks.
Train your AI coders the way you'd train a vine — discover your codebase's actual patterns, then encode them as Claude Code rules, skills, agents, hooks, and a guided pipeline so generated code lands inside your conventions on the first try, not the fifth.
The agent that writes the code never reviews it. Spec-driven TDD with agent separation, adversarial QA, and dynamic rigor for Claude Code.
Run Java checkstyle with reviewdog in github actions
performs SonarQube analyses and checks quality gates https://concourse-ci.org/ https://sonarqube.org/
The linter for your agent harness. Works with Claude Code, Codex, and Cursor.
Claude Code plugin marketplace for Shopware development. Provides MCP servers, skills, agents, hooks, and commands to integrate development tools directly into your AI coding workflow.
A discipline plugin for Claude Code + OpenAI Codex — plan first, verify against the real code, receipts on every decision, independent adversarial review, and a self-armed loop that keeps going until a real check passes. Built by Fable to make any Claude work like a careful senior engineer.
Automatically enforce Java code standards in PRs with inline feedback. Powered by Checkstyle + reviewdog for seamless GitHub integration.
Production-ready .claude/ scaffolding for enforcing professional software engineering standards with Claude Code. Rules, skills, agents, and hooks — ready to use as a GitHub template.
SDLC enforcement for Claude Code — hooks, skills, and wizard setup in one command. TDD, planning, self-review, CI shepherd.
Ensure that new code is fully covered, and see coverage trends emerge. Works with any CI service
a continuous integration service for the pre-commit framework
Automated code review for humans and AI
Detect flaky tests, quantify CI waste in dollars, and auto-fix with AI. For GitHub Actions teams
Apply size labels to Pull Requests based on the total lines of code changed
CommitCheck ensures your commit messages are consistent and contain all required information
Advanced static analysis for automatically finding runtime errors in JavaScript, TypeScript, React, and Vue code
Automatically fix pull requests to increase developer productivity
an add-on to github actions which allows safely pushing changes back to pull requests
AI code reviews and security scanning
Codacy helps to build effortless code quality and security for developers
Automatic test report merging for all CI and languages into a single code coverage report directly into your pull request
Catch more Python and Django bugs during code review
Automatic cleaning of code
Engineering Insights. Analyze velocity and output. Measure AI impact