Topic

Tools for catching bugs before release · Open source

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match your filters

16

answered today

2

arrived this week

0

stopped answering

Watching this group for 24 days, checked once a day · how we check

Sydes test

LiveWatched 8d

A CLI tool that generates backend API integration tests by first understanding routes, handlers, and models, for developers using AI coding agents instead of writing tests manually.

Open source
What to know▼
How it works
CLI-only, open-source, requires an LLM key to generate integration tests.
Best for
Developers using AI coding agents who need structural understanding before test generation.
Details →

SkillCI

LiveWatched 6d

Regression testing for Claude Skills — catches when a model update silently breaks a trigger, an instruction gets ignored, or a redteam attack succeeds, and writes each failure as a permanent eval case instead of just failing CI. Also includes OWASP-mapped security lint, git-native bisect, and cross-model regression testing.

FreeOpen source
What to know▼
Pricing
Free, open source, single Go binary.
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InboxTap — deterministic email-flow tests

LiveWatched 11d

Local SMTP test server for developers to safely test signup, password reset, and OTP emails without sending anything to real inboxes.

FreeOpen source
What to know▼
How it works
Runs locally, app points to it, each test run gets an isolated inbox so parallel tests don't collide.
What's different
Open-source and free, no external delivery.
Pricing
Free
Best for
Developers testing email flows with Playwright, Vitest, Jest, or Node.
Details →

Mutagen

LiveWatched 9d

Open-source agentic AI fuzzer that finds bugs across languages and generates verified security patches automatically.

Open source
What to know▼
How it works
Uses a multi-agent LLM swarm to analyze source code or decompiled binaries, synthesize payloads, reproduce crashes and generate verified security patches automatically.
What's different
Supports C/C++, Rust, Python, Go, JS/TS and multiple LLM providers including Gemini, Claude, OpenAI and Ollama.
Pricing
Free, open-source.
Best for
Security researchers and developers doing automated fuzzing and patching.
Details →

Spring Sentinel

LiveWatched 11d

Open-source static analysis tool that scans Spring Boot codebases for performance, security and architecture problems before they ship.

Open source
What to know▼
How it works
static analysis across Maven/Gradle/SpotBugs projects, outputs HTML/JSON/SARIF/CI reports
Pricing
open source
Best for
Spring Boot developers wanting automated code review in CI
Details →

RippleCheck

LiveWatched 11d

Scans your codebase to show exactly what an AI coding tool's change would break before you accept it, using local static analysis.

Watch out · Runs 100% locally with no telemetry

FreeOpen sourceNo tracking
What to know▼
How it works
Real local AST analysis (not LLM guessing) detects impact and generates fix prompts
Pricing
Free forever, MIT licensed
Watch out
Runs 100% locally with no telemetry
Details →

Sequa

LiveWatched 12d

Open-source library that records real LLM API calls once and replays them deterministically to make integration tests for AI apps fast and repeatable.

Open source
What to know▼
How it works
record LLM calls once, replay them in tests instead of hitting the API again
What's different
turns slow, non-deterministic LLM test runs into millisecond replays
Pricing
open source
Details →

RolesTab

LiveWatched 18d

An open-source desktop browser that gives developers and QA engineers isolated cookie and session tabs for testing multiple user roles at once, instead of juggling multiple browsers or profiles.

Open source
What to know▼
How it works
Every tab has independent cookies, storage and authentication, so admin, manager, customer and other roles can be tested simultaneously in one window.
Details →

testcat

LiveWatched 23d

An open-source macOS app where AI agents drive iOS simulators or your iPhone to run tests you describe in plain language and report a verdict live. For iOS developers.

Open source
What to know▼
How it works
An open-source macOS app where you describe a test for an iOS app in plain language, and an AI agent drives real iOS simulators or a connected iPhone to run it, returning an evidence-backed pass/fail verdict while you watch live.
What's different
Open source and shows the test running live rather than just returning a final report.
Best for
iOS developers who want AI-driven UI testing without scripting test steps by hand.
Details →

SDKProof

LiveWatched 7d

Measures how well AI writes code against your library's current API instead of guessing AI-friendliness.

Open source
Details →

Notate

LiveWatched 7d

Lets humans and AI agents annotate any content in one tool instead of using separate apps.

FreeOpen sourceCan export my data
Details →

Route Spoofer

LiveWatched 5d
FreeNo sign-upWorks offline
Details →

Commitment-Issues

LiveWatched 6d

Advisory-first Git hooks that catch workflow mistakes before your first push and suggest the exact safe command — local-only, telemetry-free, open source, for JavaScript/TypeScript.

Open source
Details →

Treseko

LiveWatched 4d
FreeOpen sourceSelf-hosted
Details →

Edgewise Lab

LiveWatched 4d
FreeOpen source
Details →

OpeClaud Ai

LiveWatched 2d
FreeOpen source
Details →

WardenIQ

Watched 11d

An open-source AI testing platform that generates test cases, builds test plans, and flags coverage gaps by connecting requirements, code, and tests.

Open source
What to know▼
How it works
An open-source platform that generates test cases, builds test plans, and understands code changes to identify gaps in manual and automation coverage.
What's different
Connects requirements, code, tests, and coverage in one place to show release risk.
Details →