205 tools curated in this category — including Prelint, Panto AI, Orchestra
📖 ReferenceFind on mySelectas all sites and tools related to testing. This selection of 205 resources is reviewed and maintained by the community. The most popular include Prelint, Panto AI, Orchestra. Each tool comes with a review, tags, comparisons and alternatives to help you make the best choice.
Checks every pull request — including the ones written by an AI coding agent — against your actual product docs and past decisions, and flags it when the code technically works but quietly does the wrong thing, before a human has to catch it after the fac
A testing tool that watches your mobile app on real phones, writes its own test cases from plain-English descriptions, and fixes itself when the app's design changes.
A desktop app where you build a web automation — clicking buttons, filling forms, scraping data — by pointing and clicking, and it hands you real, ready-to-use Playwright code at the end instead of locking your work inside a subscription.
A free health check for AI agents that scans for signs an AI is lying, manipulating, or behaving unpredictably before it causes real damage to your business — like a security scanner, but for an AI's honesty and behavior instead of its code.
Lets developers run fake-but-functional AWS, Azure and Google Cloud services on their own laptop for free, so they can test cloud code without a real cloud account, credit card, or bill.
A free, open-source command-line tool that replaces a whole stack of separate testing tools — for APIs, load, security, and web pages — with one program, so QA engineers don't have to juggle Postman, k6, and browser scripts separately.
AI testing platform that lets AI coding agents verify their own work by generating and running real end-to-end tests against a live application.
AI+human managed QA service that maps an app's workflows, generates real Playwright/Appium test code, and guarantees 80%+ automated test coverage.
Generates realistic fake versions of your production data — same shape and statistics, no real customer information — so developers can test against data that looks real without ever touching actual user records.
A safety checker for AI systems that catches hallucinations, unsafe answers and factual mistakes before they reach a user, using its own purpose-built judge models instead of relying on a general-purpose LLM to grade itself.
A platform that started by checking AI systems for unfair bias and has grown into a full compliance dashboard — finding AI a company didn't even know it was using, and tracking whether all of it meets legal and ethical standards.
A dashboard that tells you whether your AI feature is actually getting worse or better over time, built on top of a popular open-source testing library instead of asking you to guess from user complaints.
Testing environment that gives AI agents realistic, stateful clones of GitHub, Slack, Stripe and other SaaS tools so bugs get caught before production.
Gives AI coding agents disposable cloud Linux environments to actually run and test the code they write, capturing screenshots and recordings as proof instead of just claiming "done".
Combined feature flag, A/B testing, product analytics and session replay platform, built to answer whether a feature actually worked, not just whether it shipped.
AI code review and governance platform that reviews pull requests with full multi-repository context and enforces team coding standards automatically.
AI-native test automation platform that builds, runs and self-heals tests across web, mobile and API applications.
Lightweight REST/WebSocket/gRPC API client built into VS Code and JetBrains — no app switching, local-first, git-syncable.
Open-source LLM eval and red teaming: test prompts, compare models, catch jailbreaks and data leaks locally and in CI.
AI eval and observability platform: tracing, LLM and human scoring, quality gates. Used by Vercel, Notion and Replit.
