Kakarot CI
Stop writing tests. Start shipping code.
What it does
Kakarot CI generates unit tests that actually run. No more copy pasting into ChatGPT or fixing broken imports. It uses AST analysis to detect changed functions and create accurate Jest or Vitest tests. Tests are executed, failures are automatically corrected, and results follow your TypeScript and linting rules. Runs in GitHub Actions or locally. Works with any LLM provider. Your API key, your CI runner, your data.
Does a similar job
all alternatives →- WBWe built a tool that automatically generates API tests2022 · stepci.com · ▲108
Hi, this is Mish and Sebastian. We are working on Step CI - a fully automated API testing platform for developers. Step CI works programming-language independent and for different API paradigms (REST, GraphQL, XML). Our CLI and test runner are available on GitHub (https://github.com/stepci) under the MPLv2 license. Since our last launch, Step CI is now able to generate automated tests for your API based on your OpenAPI (Swagger) spec. This saves you a lot of time as you never have to write and maintain your tests again! We would like to invite you to try our tool and give us…
- 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…
RoutebaseJul 2026 · routebase.dev · ▲106Design, mock, test, and document APIs from one living spec. Full test runner built in: suites, scenarios, ten auth schemes, CLI in CI. No OpenAPI needed.
Openleetcode – Local LeetCode runner where tests live in the repo19d ago · github.com · ▲73You write a standard solution, just like on LeetCode, and run it through the CLI. It identifies the problem by ID or title, executes your code against local test cases, and shows the result. It currently supports around 1.4k problems and multiple languages, including Python, C++, Rust, Java, Go, TypeScript, Swift, and others. The project is still an MVP. System design, SQL, and concurrency problems are not supported yet, but support for more problem types is planned. Made in Haskell!
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 · 19d 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
