
gapix
AI-powered test quality analyzer for TypeScript
What it does
Coverage tools tell you what is tested. gapix tells you how well it's tested. It analyzes your test files, finds weak assertions, missing edge cases, and tests that pass but prove nothing. Works with Jest, Playwright, Cypress, and Vitest. Get a quality score for every test file and an interactive HTML report showing exactly where to improve. Free and open source.
Does the same job
all alternatives →



- OSOpen-source cypress for back end testing2023 · github.com · ▲22
For the past few months we’ve been building a simple jest/typescript-based high-level language for writing and running integration tests. We're open-sourcing it now and are excited to share it with you: https://github.com/traceloop/jest-opentelemetry Why we built this: - There are many solid frameworks for FE / browser testing, but none with high-level constructs for testing BE flows - We were missing a way to validate side effects for complex backend systems, especially across async queueing systems Our beta version lets you send an API call to a system and…

More ai this month
the category →
I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
AI · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com


Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
AI · 27d ago · cactuscompute.com


Launched alongside, March 2026
the whole month →

Switch from ChatGPT to Claude with import memory feature
AI · Mar 2026 · claude.com


