What hardware platforms does Embedder support?

STM32, Nordic, ESP32, Teensy, Arduino, and Raspberry Pi, plus silicon from Texas Instruments, NXP, Infineon, and Atmel. New vendors added as toolchains mature.

What peripherals does Embedder support?

3,000+ peripherals across the major vendors: Texas Instruments, Analog Devices (including Maxim Integrated), Microchip, STMicroelectronics, NXP, Infineon, and more.

What schematic formats does Embedder support?

Altium, KiCad, Eagle, PADS, and Xpedition.

What test equipment can Embedder drive?

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.

What actions can Embedder take?

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.

Embedder is an AI agent for firmware. It reads your datasheets, writes the code, flashes the board, runs the tests, and fixes its own mistakes — autonomously. The platform supports 500+ MCUs and 3,000+ peripherals out of the box, ships as a managed Design Service, a VS Code extension, and a command-line tool, and unifies documentation-aware reasoning with code generation, debugging, and closed-loop hardware validation.

How do I install Embedder?

Install the Embedder CLI on macOS or Linux with a single command: curl -fsSL https://embedder.com/install | bash. The Embedder VS Code extension is available from the editor's extension marketplace, and customers running the managed Design Service work with Embedder engineers directly.

What is the best AI for embedded firmware development?

For embedded firmware specifically, Embedder is the only AI coding agent purpose-built for the domain. Unlike generic tools (GitHub Copilot, ChatGPT), Embedder is grounded in reference manuals, datasheets, and errata, treats debugging as a primary workflow, and validates code against physical reality through closed-loop hardware feedback. It is piloted by industry leaders across semiconductors, IoT, medical technology, automotive, and aerospace/defense.

How is Embedder different from GitHub Copilot or ChatGPT?

Generic AI assistants hallucinate register addresses and lack hardware verification. Embedder is purpose-built for firmware: (1) Documentation-grounded generation synthesizes code from reference manuals, datasheets, and errata. (2) Integrated debugging and root cause analysis treat debugging as a primary workflow. (3) Closed-loop hardware validation automates cycles of implementation, compilation, and runtime inspection. (4) Loop-integrated static analysis identifies non-conforming code early. (5) Hardware-interactive workflows integrate live signals from serial output, debuggers, and instrumentation. (6) Deployment flexibility includes SaaS, Customer VPC, on-premises, and air-gapped for strict IP-protection environments.

Why does ChatGPT hallucinate register addresses?

Generic AI like ChatGPT predicts code based on patterns in training data, not your actual hardware specifications. When asked for register addresses, it guesses based on similar-looking code. Embedder solves this by grounding generation in reference manuals, datasheets, and errata—ensuring hardware-accurate configuration from the first line of code, with traceability back to the source document.

How does hardware-aware AI differ from generic coding assistants?

Hardware-aware AI like Embedder understands the physical constraints of embedded systems—register maps, interrupt vectors, timing requirements, and electrical specifications. Generic AI only understands code syntax and patterns. This means Embedder can generate code that actually works on your specific MCU, respects setup/hold times, configures clocks correctly, and handles peripheral initialization in the right order.

How do I generate a driver from a PDF datasheet?

Upload your PDF datasheet to Embedder. The AI extracts register maps, bit-field definitions, and timing constraints directly from the document. Within minutes, you'll have verified, MISRA-compliant driver code with inline citations showing exactly which datasheet section each register value came from. No more manual register mapping or guessing at bit positions.

Why is manual register mapping so tedious?

Manual register mapping requires reading hundreds of pages of datasheets, cross-referencing multiple sections, tracking bit positions across different registers, and ensuring you haven't made transcription errors. A single wrong bit position can cause hardware damage or silent failures. Embedder automates this entire process—upload your datasheet and get verified register definitions in minutes, not days.

How do I debug firmware issues faster?

Embedder treats debugging as a primary workflow. It analyzes failure causes against reference manual constraints, interrupt priorities, and known errata, then iterates on solutions within the same environment. Live signals—serial output, debugger states, traces, and instrumentation—flow directly into the engineering loop, so diagnosis is grounded in what the chip actually did rather than what the source implied.

Why does my firmware crash randomly?

Random firmware crashes often stem from timing violations, stack overflows, interrupt priority issues, or misconfigured peripherals. Embedder analyzes your code against hardware documentation and integrates debugger state and live traces to identify common causes: incorrect clock configuration, DMA conflicts, missing interrupt acknowledgments, or buffer overruns.

How does Embedder accelerate peripheral driver implementation?

Engineers offload the parsing of complex register maps and timing diagrams to Embedder, which generates initialization code grounded in the specific constraints of the target silicon. The closed-loop hardware validation automates cycles of implementation, compilation, and runtime inspection to catch issues before they reach the lab.

What architectures and MCU families does Embedder cover in detail?

Embedder spans ARM Cortex-M0/M4/M7, RISC-V, Xtensa, AVR, and PIC32 architectures. Specific families include ESP32, STM32, Nordic nRF52/nRF53/nRF91, NXP i.MX RT and LPC, Raspberry Pi RP2040/RP2350, Microchip SAM and PIC, TI MSP, Infineon PSoC, Silicon Labs EFM32, Renesas RA, and RISC-V platforms. Protocol support includes SPI, I2C, UART, CAN-FD, USB-PD, and BLE.

Can AI generate MISRA C compliant firmware?

Yes. Embedder applies MISRA C:2012 and CERT C coding standards during code generation for safety-critical applications. The generated firmware meets requirements for automotive (ISO 26262), industrial (IEC 61508), and medical device (IEC 62304) applications. Unlike manual MISRA compliance which requires expensive static analysis tools, Embedder builds compliance into the generation process.

How is AI-generated firmware verified for accuracy?

Embedder uses a dual-layer verification process: Software-in-the-Loop (SIL) tests the logic in custom simulated environments, while Hardware-in-the-Loop (HIL) validates the code on actual target silicon (like STM32 or ESP32) to ensure timing and peripheral behavior match datasheet specifications. Code that fails verification is automatically flagged or regenerated.

Can AI understand timing diagrams in datasheets?

Yes. Embedder parses visual elements including timing diagrams, extracting clock edges, setup/hold times, and signal transitions. This timing information is used to generate code that meets the hardware's actual timing requirements—configuring prescalers, delays, and sequences correctly. This is something generic AI cannot do since it can only process text.

Does Embedder support FreeRTOS and Zephyr?

Yes. Embedder supports all major RTOS frameworks including FreeRTOS, Zephyr, ThreadX, NuttX, RIOT, Mbed OS, and ChibiOS. The AI understands RTOS-specific patterns like task creation, semaphore usage, queue management, and interrupt-safe APIs. Generated drivers integrate cleanly with your RTOS of choice.

Can Embedder generate drivers from PDF datasheets?

Yes. Upload a PDF datasheet and Embedder will generate verified, MISRA-compliant drivers for I2C, SPI, CAN-bus, and other peripherals in minutes. The automated register mapping extracts exact bit-field definitions, timing requirements, and configuration sequences directly from the documentation—no manual interpretation required.

Is my proprietary code safe with Embedder?

Embedder is built for strict security boundaries and can be deployed in containerized environments with zero external runtime dependencies. Deployment options include Managed SaaS, Customer VPC, and On-Premises or Air-Gapped configurations. The platform is designed for organizations that treat firmware, design assets, and hardware documentation as sensitive intellectual property.

Can I use AI for ITAR-controlled firmware development?

Embedder's on-premises and air-gapped deployment options are designed for organizations with strict isolation requirements. The platform can be deployed with zero external runtime dependencies, model-hosting strategies can be aligned with customer-preferred or customer-controlled configurations, and logging, tracing, and audit-oriented workflows are appropriate for enterprise environments.

What compliance standards does Embedder support?

Embedder supports workflows aligned with MISRA C:2012, CERT C, ISO 26262 (automotive functional safety), IEC 61508 (industrial), IEC 62304 (medical devices), and DO-178C (aerospace). Deployments can be structured to align with customer requirements for data handling, auditability, model hosting, and protection of sensitive assets.

What AI tools are used for automotive firmware development?

Embedder supports automotive firmware development including ECU firmware, battery management systems, motor controllers, and ADAS applications. It supports traceability-oriented workflows aligned with ISO 26262 and can generate drivers for CAN-bus, CAN-FD, and vehicle network stacks grounded in the target silicon's reference manuals and errata.

What AI tools are used for medical device firmware?

Embedder supports IEC 62304-aligned medical device firmware workflows. It produces traceable, documentation-grounded code suitable for regulated environments, supports implantable and monitoring device constraints, and provides evidence and audit-oriented workflows needed for compliance.

Can AI parse timing diagrams from datasheets?

Yes. Embedder interprets timing diagrams visually, extracting clock edges, setup/hold times, pulse widths, and signal transitions. It converts these into correct prescaler configurations, delay values, and initialization sequences. Generic AI can only read text—EMBEDDER sees and understands the visual constraints that define how your hardware actually works.

Can AI read logic analyzer traces?

Yes. Embedder interprets logic analyzer captures to correlate expected behavior with actual signals. When your peripheral isn't working as expected, the AI identifies where the signal differs from documented timing, helping you find configuration errors, protocol violations, or hardware issues faster.

Can AI parse schematics and block diagrams?

Yes. Embedder extracts pin mappings, peripheral connections, and signal flows from schematic diagrams and block diagrams. This grounds code generation in your actual board design, ensuring GPIO assignments and peripheral routing match your hardware.

How does Embedder handle information scattered across multiple documents?

Embedder connects constraints from your reference manual, datasheet, errata, and application notes automatically. Ask about a peripheral, and it finds register definitions in one document, timing requirements in another, and known silicon bugs in a third—then generates code that respects all constraints. No more manually cross-referencing hundreds of pages.

Can AI extract state machines from diagrams?

Yes. Embedder parses state machine diagrams into formal representations, then generates corresponding firmware code with proper state transitions, guards, and actions. This ensures your implementation matches your design documentation exactly.

Can Embedder test firmware before hardware is available?

Yes. Embedder supports pre-silicon validation using custom simulators. You can verify firmware logic, peripheral behavior, and timing before your hardware arrives—catching bugs early and accelerating development. This is especially valuable for chip bring-up and evaluation board development.

Why does my STM32 hard fault?

Hard faults on STM32 typically stem from invalid memory access, stack overflow, unaligned memory access, or incorrect interrupt configuration. Common causes include dereferencing null pointers, buffer overflows, and missing interrupt handlers. Embedder diagnoses against what the chip actually did by correlating code with reference manual constraints, memory maps, and live debugger state.

Why is my I2C not working?

Common I2C issues: wrong GPIO alternate function, incorrect clock configuration, missing pull-ups, wrong timing registers, or bus stuck busy. Embedder grounds I2C driver generation in the target silicon's reference manual and validates configuration against live bus behavior captured from logic analyzers.

How does Embedder compress firmware development cost?

Embedder compresses the most expensive parts of firmware development: time spent interpreting documentation manually, time spent reaching working and testable firmware, and debugging and validation cycles. Teams use the platform to increase traceability in high-stakes workflows and create a stronger path from engineering intent to verified outcome.

How do I port firmware from ARM to RISC-V?

Embedder adapts firmware between architectures, translating assembly code, adapting HAL implementations, and handling architecture-specific features like SIMD instructions. Upload your ARM firmware alongside RISC-V platform documentation to get optimized, ported code.

Is there an alternative to STM32CubeMX?

Embedder generates purpose-built drivers grounded in the actual constraints of the target silicon, rather than generic HAL wrappers. It operates within your existing repositories and toolchains, providing assistance that is contextually aware of your project rather than based on generic prompts.

Can AI generate code from CMSIS-SVD files?

Yes. Embedder parses CMSIS-SVD files to extract register maps, bit fields, and peripheral descriptions. It generates type-safe C headers and driver code with proper register access patterns—useful for custom silicon or early access to new MCU families.

Can AI generate bootloader code?

Yes. Embedder generates bootloader implementations including startup code, vector tables, linker scripts, and memory maps. Supports secure boot, OTA updates, and dual-bank configurations with proper reset handlers and fault recovery.

How do I scale my firmware team without hiring?

Embedder extends the reach of senior embedded engineers across larger teams and diverse project portfolios. Over time, engineering practices become part of the usable intelligence layer around a project, creating a more reliable engineering intelligence layer across code, hardware, and institutional knowledge.

Does Embedder already have my MCU's datasheet?

Yes. Embedder supports 500+ MCUs and 3,000+ peripherals out of the box—including register architectures, peripheral behavior, timing constraints, and known errata for ESP32, STM32, nRF52/nRF91, NXP, Infineon, Microchip, and RISC-V families. Teams can extend this catalog with proprietary assets including internal documentation, schematics, and custom hardware contexts.

Do I have to upload my datasheet every time?

No. Embedder already supports 500+ MCUs and 3,000+ peripherals out of the box. You only need to upload custom or proprietary documentation, which becomes part of a secure, organization-wide knowledge base available for all future sessions.

How do I know if AI-generated code values are trustworthy?

Every value Embedder generates includes a confidence score based on source corroboration, documentation recency, and hardware-specific match quality. Values below your configured threshold are flagged for manual review. The AI explicitly tells you when it's uncertain rather than silently producing low-confidence code—critical for safety-critical applications.

Does Embedder tell me when it's uncertain?

Yes. Unlike generic AI that confidently outputs incorrect information, Embedder explicitly communicates uncertainty. Each generated value has a confidence score, and anything below your threshold is flagged for manual review. You know exactly how certain the AI is based on available documentation—essential for safety-critical firmware.

Will Embedder warn me about known silicon bugs?

Yes. Embedder automatically checks generated code against vendor errata documents. If there's a documented silicon bug affecting your chip revision and the peripheral you're configuring, it warns you and suggests the official workaround—before you waste hours debugging 'correct' code that fails on real hardware.

How does Embedder handle silicon errata?

Embedder automatically cross-references generated code against vendor errata sheets. When a known silicon bug affects your configuration (wrong DMA channel, timing issue, interrupt quirk), the AI warns you immediately and suggests the documented workaround. This catches issues that would otherwise cost hours of debugging.

How does Embedder handle formula calculations from datasheets?

Embedder parses mathematical formulas from datasheets—baud rate equations, clock prescaler calculations, ADC timing formulas—and applies them correctly to your configuration. Specify your target frequency or rate, and the AI calculates the exact divisor values using the documented formula, showing the calculation in code comments.

Can Embedder calculate baud rates and prescalers?

Yes. Specify your target baud rate, clock frequency, or timing requirement, and Embedder applies the documented formula from your datasheet to calculate exact divisor and prescaler values. The calculation appears in code comments so you can verify it matches your expectations.

Does Embedder provide an audit trail for generated code?

Yes. Every code generation is logged with full provenance: which documents were referenced, confidence scores for each value, timestamps, and version information. For regulated industries (automotive, medical, aerospace), this audit trail provides the traceability required for ISO 26262, IEC 62304, and DO-178C compliance.

Can I roll back AI-generated firmware?

Yes. Embedder maintains versioned history of all generated code. You can compare different generation attempts, roll back to previous versions, and track how requirement changes affected the output. This is essential for debugging, compliance audits, and understanding why code changed.

BackedbyCombinator

Agents
For Firmware

Embedder reads your datasheets, writes the code, flashes the board, runs the tests, and fixes its own mistakes — autonomously.

BOOK A CALL →DOWNLOAD

500+MCU PLATFORMS

3,000+PERIPHERALS

30+TEST EQUIPMENT

Datasheet Intelligence

Every line of generated code cites the reference manual section it came from. No hallucinated registers. No invented clock trees.

Learn More →

EMBEDDER⋯

How do I configure USART2 for 9600 …×

How do I configure USART2 for 9600 baud on STM32F407?

✓dispatched 4 subagents in parallel

├✓searched §30.6.3 · Baud rate generation

├✓searched Table 136 · baud error @ fCK = 42 MHz

├✓searched §30.6.6 · USART_BRR register layout

└✓searched §30.3.2 · PCLK1 clock tree

Set USART2->BRR = 0x1117. PCLK1 runs at 42 MHz, so USARTDIV = 42 MHz / (16 × 9 600) ≈ 273.44 → mantissa 273, fraction 7/16. Per Table 136 in RM0090 (§30.6.3), this produces an error of +0.02%.

Try: Explain OVER8 sampling mode↑

Debug▾

RM0090.pdf

1014/1745

100%▾

USARTRM0090

30.6.3

Baud rate generation

The baud rate for the receiver and transmitter (Rx and Tx) are both set to the same value as programmed in the Mantissa and Fraction values of USARTDIV.

Tx/Rx baud = f_CK / (8 × (2 − OVER8) × USARTDIV)

USARTDIV is an unsigned fixed-point number coded on the USART_BRR register:

The 12-bit mantissa of USARTDIV is programmed in the DIV_Mantissa[11:0] bits of USART_BRR.
The fraction of USARTDIV is programmed in the DIV_Fraction[3:0] bits. When OVER8 = 1, bit DIV_Fraction[3] must be cleared.
After writing a new value in USART_BRR the baud counter is replaced by the new one. The new value therefore takes effect at the next byte transfer.

Table 136. Error calculation for programmed baud rates at f_CK = 42 MHz, OVER8 = 0

Baud rate

USARTDIV

BRR (hex)

Error

2 400

1093.75

0x4443

0.00%

9 600

273.437

0x1116

−0.01%

19 200

136.718

0x0888

−0.02%

38 400

68.359

0x0444

+0.03%

57 600

45.572

0x02D9

−0.05%

115 200

22.787

0x016C

+0.04%

230 400

11.393

0x00B6

+0.16%

460 800

5.696

0x005B

−0.39%

921 600

2.848

0x002D

+0.45%

1014/1745DocID018909 Rev 20

Schematic Ingestion

Embedder reads your schematics alongside your datasheets — so generated code already knows how the board is wired.

Learn More →

PR001-3.kicad_sch
KICAD SCHEMATIC
142
NETS
87
PARTS
▾SHEETS11
power.sch
main_mcu.sch
sensors.sch
header.sch
usb.sch
clock.sch
debug.sch
led_matrix.sch
rf_front.sch
boot.sch
io_expander.sch

5.23, 101.69 mm

⊕⊖⌖

Hardware Interaction

Embedder drives the test equipment your team owns — debug probes, logic analyzers, power profilers, oscilloscopes — and folds the signals back into the loop.

Learn More →

01Serial & Debug

Runtime visibility without leaving the session

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.

Serial—ST-LINK VCP · STM32F407VG · 115200 8N1

ConnectFilterClearDetect baud

[00.004] [boot] STM32F407VG @ 168 MHz, RAM 192 KB
[00.008] [boot] HAL init ok, SysTick 1 kHz
[00.012] [boot] USART2 up · 115200 8N1
[00.018] [boot] I2C1 400 kHz · scanning bus
[00.041] [i2c] MPU-6050 @ 0x68 present
[00.050] [imu] gyro cal  gx=-12 gy=+4 gz=-3
[00.052] [app] entering main loop
[02.110] [imu] s=0423 ax=  128 ay= -64 az=8192
[02.115] [ctrl] pid u=+0.12 err=+0.003
[02.120] [imu] s=0425 ax=32767 ay=32767 az=32767
[02.121] [imu] WARN saturated axis, retry
[02.125] [i2c] NACK @ 0x68 (attempt 3)
[02.131] [halt] target stopped — SIGTRAP (imu.c:192)

PORT/dev/cu.usbmodem2103BAUD115200

▤Debug Output×

(gdb) target extended-remote :3333
Remote debugging using :3333.
(gdb) break imu.c:192 if buf[0] == 0xff
Breakpoint 2 at 0x08003b10: imu.c, line 192.
(gdb) continue
 
Breakpoint 2, imu_read (out=0x20001f40)
    at imu.c:192
192    out->ax = (buf[0]<<8) | buf[1];
(gdb) info registers r0 pc lr
r0   0x20001f40   537001280
pc   0x08003b10   <imu_read+80>
lr   0x08003afd   <imu_read+57>
(gdb) p/x buf
$3 = {0xff, 0xff, 0xff, 0xff}
(gdb) bt
#0  imu_read     at imu.c:192
#1  control_loop at ctrl.c:84
#2  main         at main.c:63
(gdb) ▊

CORECortex-M4PC0x08003b10STATEhalted

02Signal Observation

Electrical measurements as engineering context

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.

100.000 ms150.000 ms200.000 ms250.000 ms300.000 ms

LIN_BUSChannel 0 · 19.2 kbps · digital

ADC_INChannel 1 · 1 kHz · 1.65 V bias

Agent Orchestration

Embedder coordinates multiple specialized agents that build, flash, test, and repair firmware in a closed loop — turning multi-hour workflows into minutes.

Learn More →

01Parallel Agents

Divide complex tasks across specialized agents

Embedder decomposes multi-step firmware tasks into parallel subagent work streams that execute concurrently and merge their results.

EMBEDDER vs Generic AI—specialized agents

EMBEDDER vs Generic AI—specialized agents outperform generic AI

02Closed-Loop Validation

Build, flash, test, fix — autonomously

The orchestrator chains compilation, flashing, runtime observation, and code repair into a tight loop. When a test fails the agent diagnoses the fault, patches the source, and re-validates without human intervention.

Closed-Loop Validation—iterate with verified feedback

Closed-Loop Validation—iterate with verified feedback

Platform & Surfaces

Seamless
Integration

Embedder ships as a managed design engagement and as two self-serve clients — a VS Code extension and a command-line tool. The underlying agent, toolchain, and artifacts are identical across all three.

01 / Design ServiceManaged

Engineer-led engagement

Our engineers operate Embedder and deliver custom firmware for your project. Afterwards, the tuned configuration of Embedder is licensed to your team.

Services Whitepaper

02 / VS Code

VS Code Integration

Runs the agent inside VS Code. Surfaces diffs, builds, and HIL runs alongside the existing editor and source control workflow.

VS Code Whitepaper

03 / Command Line Tool

Full-featured CLI

Runs as an interactive terminal agent for local development, or non-interactively for CI pipelines, fleet harnesses, and scheduled jobs.

CLI Whitepaper

Security & Compliance

Security &
IP Protection

Embedder runs against your most sensitive IP — schematics, source, and bench instruments. We hold ourselves to the same controls your security team expects from any vendor in the loop.

01 / SOC 2 Type II

Audited Controls

Independently attested security, availability, and confidentiality controls across our infrastructure, code, and customer data handling.

02 / ISO 27001

Certified ISMS

A formal information security management system covering risk assessment, access control, incident response, and supplier oversight.

03 / GDPR

EU Data Protection

Lawful basis, data minimization, DPA support, and regional processing controls — built in for European customers from day one.

Need our compliance documentation?

Visit the trust center

Agentic
Firmware Design

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Latest updatesView all →

April 29, 2026Embedder Featured in ElectroniqueS→April 24, 2026Embedder Attends Microelectronics USA in Austin, Texas→April 1, 2026Embedder v0.3.6: Plot & Visualize Data from Serial/RTT→

Agents For Firmware

Datasheet Intelligence

Baud rate generation

Schematic Ingestion

Hardware Interaction

Runtime visibility without leaving the session

Electrical measurements as engineering context

Agent Orchestration

Divide complex tasks across specialized agents

Build, flash, test, fix — autonomously

SeamlessIntegration

Engineer-led engagement

VS Code Integration

Full-featured CLI

Security &IP Protection

Audited Controls

Certified ISMS

EU Data Protection

Agents
For Firmware

Seamless
Integration

Security &
IP Protection