Hyperprobe
Lets your AI agents debug production without redeploying Discussion | Link
What it does
HyperProbe is how backend teams debug production issues they can't reproduce locally. Instead of adding a log line and waiting on a deploy, we let Claude Code, Codex, or Cursor drop read-only probes into a running service and capture the variable state that was never recorded. From there your agent debugs like it has a local repro, closing the bug in one sitting.
Does the same job
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Progress AI Observability30d ago · telerik.com · ▲168Trace, evaluate, and improve AI agents in production

- WMWild Moose – Autonomous agent for production debugging2023 · wildmoose.ai · ▲55
Hi Hacker News! We launched an autonomous agent that helps debug production issues, and we’re curious to get your feedback. Today's GenAI devtools, such as Copilot, are limited: they are great for writing code, but we all know that programming is only 20% coding, and 80% debugging. So how can GenAI be used for debugging? As opposed to code completion or test automation, production debugging is not about generating text. Debugging is mostly about root-cause analysis. We realized two things: 1) Generative AI is drastically changing the way we work with data, thanks to its ability to not only…
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More ai this month
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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 · 16d ago · simedw.com
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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 · 26d ago · cactuscompute.com


Launched alongside, August 2026
the whole month →- TL
Life & fun · 9d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


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 · 16d ago · simedw.com