AI Code Review & Testing

Prediction Guard provides a self-hosted platform for applying NIST and OWASP policies to models and agents.

Snyk DeepCode AI helps review code and identify security issues, with autofix features for developers.

Cleanlab Detect scores AI responses for trust and accuracy and flags issues such as hallucinations or missing context.

Greptile reviews and tests pull requests with context from the full codebase to identify software bugs.

ReviewCerberus analyzes Git branch differences and generates code review reports using AWS Bedrock or Anthropic API.

This repository contains code for PR-Agent, an open source tool for reviewing pull requests.

rehydra scans LLM prompts for accidental personal information before they reach a model.

Modelcode modernizes large codebases with AI, dividing migrations into reviewable milestones and automated changes.

GitAuto generates, runs, and repairs unit tests for GitHub repositories to increase software test coverage.

Promptfoo helps developers build and test AI applications by identifying security vulnerabilities during development.

Refraction uses AI to refactor code, generate documentation, and create unit tests from code samples.

Katalon helps QA teams manage manual, automated, and AI-generated tests for web, mobile, API, and desktop software.

Qodo reviews code with codebase context and supports workflows for IDEs, pull requests, and security.

PR-Agent provides automated review of software pull requests in this open source repository.

Blinky provides an open-source AI debugging agent integrated into Visual Studio Code.

EvalView regression tests AI agents by snapshotting behavior and comparing tool calls in CI.

Greywall provides a deny-by-default sandbox for AI coding agents, with kernel-enforced isolation on Linux and macOS.

promptfoo tests prompts, agents, and retrieval systems with evaluations and security testing.

OpenCodeReview combines deterministic checks and language model agents for code review with line-level comments.

LangWatch provides evaluations for language models and tests for AI agent applications.

KushoAI uses autonomous agents in CI/CD to test, maintain, and monitor software.

ContextQA automates testing for AI agents and enterprise apps, including generated tests and selector repair.

LangKit monitors language model prompts and responses and extracts signals related to safety and security.

Sourcery reviews pull requests in GitHub and GitLab, identifying bugs and suggesting summaries and one-click fixes.