COMBINATORBuild, flash, test and debug firmware in a single, AI-powered workflow.
Embedder is an AI coding agent purpose-built for firmware and embedded software engineers. It empowers teams to generate, debug, analyze, and verify code using deep hardware knowledge and closed-loop workflows. Supports 400+ MCUs and 2,000+ peripherals across STM32, ESP32, nRF52/nRF91, NXP, Infineon, Microchip, and RISC-V families. Every generated line is grounded in reference manuals, datasheets, and errata.
Unlike generic AI coding tools, Embedder is grounded in the actual constraints of the target system—register definitions, peripheral behavior, precise timing, and hardware-aware validation. Core capabilities include documentation-grounded generation, integrated debugging and root cause analysis, loop-integrated static analysis, closed-loop hardware validation, project and environment context, and hardware-interactive workflows that integrate live signals from serial output, debugger states, traces, and instrumentation directly into the engineering loop.
Core workflows include specification-first development, accelerated hardware bring-up, peripheral and driver implementation, rapid debugging and root cause analysis, iterative refinement and re-validation, and hybrid simulation and lab validation. Enterprise use cases include legacy codebase modernization, compliance and audit acceleration, cross-platform migrations, rapid prototyping and bring-up, hardware-aware test generation, and high-impact debugging.
Integrates natively with debug probes (J-Link, ST-Link, OpenOCD, GDB), logic analyzers (Saleae, Digilent), power profilers (Nordic PPK, Joulescope), and bench equipment (Siglent, Rigol). Deployment options include Managed SaaS, Customer VPC, and On-Premises and Air-Gapped configurations for organizations that treat firmware, design assets, and hardware documentation as sensitive intellectual property. Piloted by industry leaders across semiconductors, IoT, medical technology, automotive, and aerospace/defense.
Embedder analyzes your datasheets, reference manuals, schematics, and errata with advanced computer vision.
Embedder streams serial output, debugger state, captures and waveforms into the same session as code generation and analysis.
Embedder reads serial output and drives GDB sessions, stepping breakpoints, inspecting registers and memory, and correlating runtime state with the code under review. Failures get diagnosed against what the chip actually did, not what the source implied.
Embedder turns logic analyzer captures and oscilloscope waveforms into structured data. Timing violations, protocol errors, and signal integrity issues surface as reviewable evidence, grounding firmware changes in the electrical behavior of the bus.
Engineers at hardware companies use Embedder to bring up boards, debug peripherals, and ship firmware faster.
“I connected two different devices to the project, and within seconds your agent was able to detect both devices, tell me what they were, find auxiliary files on the web, and update code to change functionality on the PCB. That whole flow worked with basically zero effort on my part.”
“Writing drivers for new components used to mean hunting for a ready-made Zephyr RTOS driver first. Now it doesn't matter. I set up a test case that confirms functionality and let Embedder work autonomously. An IMU driver is done in 10 minutes. I can pick any IC on the shelf knowing firmware for it is a 10-minute problem, and it lets us iterate much faster.”
“I've used it for the past week and it's a genuine step up from other AI tools I've tried. The standout feature is how it handles datasheets: the agent references the exact specs from your project's hardware instead of leaning on generalized training data. No hallucinated register names, no invented pin mappings. The result is much more accurate code generation, peripheral configuration, and firmware troubleshooting.”
“As a startup our resources are always spread thin. Embedder writes the driver and the embedded test application in one shot, so we get a close-to-working project on the first few iterations. I pointed it at our semi-complete SDK, told the agent to go learn, and got a VL53L0X driver that passed every test on our custom board. The serial monitor is the cherry on top: the agent reads serial output directly instead of me copy-pasting from my IDE.”
“I had a data pipeline on the nRF52840 reading sensors at 3.84 kHz, running some processing, and pushing the results over USB. I wanted to verify I wasn't dropping packets and had enough CPU headroom for other tasks. Watching Embedder compile the code, flash it, drive Saleae, and analyze the outputs end-to-end was genuinely powerful, and seamless in a way I haven't seen from other AI tools. Turns out the code kept up with the sensor, which was good to confirm.”
“As a freelance firmware engineer I work across Microchip, dsPIC, and STM32. I already use Microchip's AI plugin for VSCode. It's helpful for pulling snippets from vectorized datasheets, but not a real game changer. I spent two days full-time trying Embedder on a codec2 port to STM32 HAL, and this actually is one. Very impressed. The next ST project I take on for a customer, I'm using Embedder, no question.”
Common questions about platform support and agent behavior.
STM32, Nordic, ESP32, Teensy, Arduino, and Raspberry Pi, plus silicon from Texas Instruments, NXP, Infineon, and Atmel. New vendors added as toolchains mature.
2,000+ peripherals across the major vendors: Texas Instruments, Analog Devices (including Maxim Integrated), Microchip, STMicroelectronics, NXP, Infineon, and more.
Altium, KiCad, Eagle, PADS, and Xpedition.
J-Link and OpenOCD for debugging, Saleae and Digilent logic analyzers, Nordic PPK and Joulescope for power profiling, and Siglent and Rigol instruments for scope and supply work.
Embedder operates in three modes. It plans, turning your datasheets, schematics, and existing code into a concrete specification. It acts, generating firmware and verifying it against real hardware in the loop. And it debugs, running root-cause analysis against the live board using the integrated test equipment.
Build firmware with AI agents.
