Hydron: Hardware-Native AI for Embedded Software Development
Generic AI coding assistants hallucinate register addresses and generate firmware that compiles but doesn't run on real hardware. Hydron is built specifically for embedded work. It's pre-indexed across 500+ MCUs, grounded in actual datasheets, and aware of the constraints your silicon actually has.
Why embedded engineers use Hydron
- 500+ platforms pre-indexed. STM32, ESP32, nRF52, NXP, RISC-V, Raspberry Pi, and more. Pinouts, registers, and memory maps are already loaded, so you stop hunting through PDFs.
- Spec-cited code generation. Every snippet Hydron generates points back to the exact datasheet section it came from. No invented register addresses.
- Agentic build loop. Hydron reads your compiler errors, fixes its own output, and keeps iterating until your firmware builds clean.
- Inline autocomplete for C, C++, and Rust. Completions that understand register-level programming on your target architecture, not just language syntax.
One assistant, every phase of your workflow
Ask a hardware question, plan a system architecture, generate register-level code, or debug a hard fault. All in the same session, without switching tools or losing context.
Supported stack
- MCUs: STM32, ESP32, nRF52, NXP, RISC-V, Raspberry Pi, 500+ more
- RTOS: Zephyr, FreeRTOS, Embedded Linux, bare-metal
- Languages: C, C++, Rust, Systems Python
Get started
Install Hydron and use your 200 free credits to run your first hardware-aware session.
Pricing · Discord · hydron.sh
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