Hey HN, Anders and Tom here - we’ve been building an end-to-end testing framework powered by visual LLM agents to replace traditional web testing.
We know there's a lot of noise about different browser agents. If you've tried any of them, you know they're slow, expensive, and inconsistent. That's why we built an agent specifically for running test cases and optimized it just for that:
- Pure vision instead of error prone "set-of-marks" system (the colorful boxes you see in browser-use for example)
- Use tiny VLM (Moondream) instead of OpenAI/Anthropic computer use for dramatically faster and cheaper execution
- Use two agents: one for planning and adapting test cases and one for executing them quickly and consistently.
The idea is the planner builds up a general plan which the executor runs. We can save this plan and re-run it with only the executor for quick, cheap, and consistent runs. When something goes wrong, it can kick back out to the planner agent and re-adjust the test.
It’s completely open source. Would love to have more people try it out and tell us how we can make it great.
Repo: https://github.com/magnitudedev/magnitude
Comments URL: https://news.ycombinator.com/item?id=43796003
Points: 31
# Comments: 12
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Hey HN, Henry and Roman here - we've been building a cross-platform framework for deploying LLMs, VLMs, Embedding Models and TTS models locally on smartphones.
Ollama enables deploying LLMs mode
Article URL: https://openfront.io/
Comments URL: https://news.ycombinator.com/item?id=44528943

Article URL: https://www.nber.org/papers/w33989
Comments URL: https://news.ycombinat

Article URL: https://simonwillison.net/2025/Jul/11/grok-musk/