Hi HN, this is Prashant from H2Loop. Embedded engineers that we work with were annoyed that generic AI tools hallucinated register addresses, generated code for peripherals that don't exist on the chip and mixed up timer quirks between similar platforms like STM32F4 and F7. The code looks clean but it just won't boot. This made them go back to the datasheet every time. So we built Hydron, an AI tool that writes datasheet-grounded code for your hardware.
Demo: Hydron setting up sleep-mode CPU logging for an onboard temp sensor on an STM32U385 - https://boot.hydron.sh/zzzDemo
First, we've pre-indexed 580+ platforms and peripherals. Most of what you'd use in a robotics, UAV, or IoT build: common dev platforms like STM32, ESP32, RP2040, AM6 families, plus the IMUs, GNSS modules, motor drivers, and baros that ship around them. Ask about a peripheral, the answer comes from our KG and the actual datasheet.
Second, you can bring your own context and share it with your team. Hydron indexes PDFs up to 5000 pages, plus a whole host of various file types and even ZIPs of full C/C++/Python codebases up to 250MB. One engineer indexes the HW, BSPs, and datasheet pack once. Anyone else can reference it from their own Hydron agent.
Third, HW-SW development happens in your editor or terminal. Agentic serial monitor is live today. GDB integration, and an AI log reader land in the next two weeks.
Up next, we're focused on closing the hardware-software loop. We're building more HIL debugging capabilities, deeper target awareness, and support for additional platforms. If you work on embedded SW we'd love your feedback on where today's tools fall short and what you'd like to see next.
Install: VS Code extension - https://marketplace.visualstudio.com/items?itemName=H2Loop.h... CLI mac/linux -> curl -fsSL https://get.hydron.sh/cli/install.sh | bash. CLI windows -> irm https://get.hydron.sh/cli/install.ps1 | iex
More at http://boot.hydron.sh/HN. 200 free credits, 50% off on paid plans, one-step signup. Me and u/ajithhyd will be in the thread all day.
I've seen three tools in the last few months claiming something similar. They all hallucinate less than GPT, but they still hallucinate. Is yours any different, if so then how?
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How do you handle silicon errata? Datasheet code is often the ideal behavior.
The errata sheet and the datasheet are both ingested together and well in scope of Hydron,any work around to be done is verified by keeping both these docs in sight
Cool. Hydron can index PDFs up to 5,000 pages. Roughly how long does it take to index a 5000 page PDF?
That's a great question. Indexing time directly depends on the number of pages in the PDF, for a 5000 page PDF it roughly takes around 30 minutes to index.
What other file types do you support?
Other files types supported include Word, Excel, CSV, Markdown, XML, Text and ZIP files. We can also index entire codebases and GitHub repositories as agent context.
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