Hardware Agent for Embedded Systems

Generate firmware
with Autonomous agents.

The only multi-model AI agent that generates bare-metal and Embedded Linux firmware, compiles and verfies in cloud sandboxes, flashes via serial debugging tools to the target hardware — from a single terminal prompt. Supporting ARM64, x86 and ARM baremetal.

$ curl -fsSL https://respcode.com/agent/install.sh | bash
CLI Agent Web IDE FREE MCP Server VS Code
respcode-agent
● connected · 474 credits
┌──────────────────────────────────────────────────────┐
  RESPCODE Hardware Agent v0.8.0        Plan: API  
└──────────────────────────────────────────────────────┘

  Configured targets:
  (1) Local Machine  [sbc · x86 · localhost]
  ▸(2) NUCLEO-F767ZI  [bare-metal · arm32 · pyOCD · stm32f767zi]
  (3) LPC55S69-EVK  [bare-metal · arm32 · pyOCD · lpc55s69]
  (4) AWS a1.metal   [sbc · arm64 · SSH]

 Write a bare metal Ethernet UDP program for STM32F767ZI.
  Configure static IP 192.168.0.200, send UDP to port 9000
  every 2s. Blink green LED on each packet sent.

━━━ GENERATE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[cloud] Compete: flagship tier for STM32F767ZI
[cloud] claude-opus-4-6     ✓ done (3858 chunks)
[cloud] gpt-5-2             ✓ done (11706 chunks)
[cloud] gemini-3-pro        ✓ done (281 chunks)
[cloud] deepseek-coder      ✓ done (6894 chunks)

━━━ COMPILE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[gcc]  claude-opus-4-6     ✅ 7964 bytes (4.1s) [12936tok]
[gcc]  gpt-5-2             ✗ ld returned 1 exit status
[gcc]  gemini-3-pro        ✅ 2152 bytes (4.0s) [4979tok]
[gcc]  deepseek-coder      ✗ GPIO_TypeDef has no member

━━━ FLASH + VERIFY ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[pyocd] Loading 7964B @ 0x08000000
[pyocd] [========================================]
[pyocd] Programmed 8192 bytes (8 pages) at 9.06 kB/s
[uart]  [TX] UDP packet #3 sent → 192.168.0.175:9000
[uart]  [TX] UDP packet #5 sent → 192.168.0.175:9000
[uart]  [INFO] ARP request for us

[  ✅ ] UART verified · 10.1s · claude-opus-4-6 · 7964 bytes
  ✅ claude-opus-4-6  UART ✅  HW ✅  7964B  ← WINNER
  ⏭  gemini-3-pro     2152B (skipped — winner found)

 
┌──────────────────────────────────────────────────────┐
  RESPCODE Hardware Agent v0.8.0        Plan: API  
└──────────────────────────────────────────────────────┘

  Configured targets:
  (1) Local Machine    [sbc · x86 · localhost]
  (2) NUCLEO-F767ZI    [bare-metal · arm32 · pyOCD · stm32f767zi]
  (3) Raspberry Pi 4   [sbc · arm64 · SSH pi@192.168.1.50]
  ▸(4) AWS a1.metal     [sbc · arm64 · SSH ubuntu@***.***.***.***]

 write a C program that measures memory bandwidth using
  memcpy on a 64MB buffer, report read/write speeds in MB/s

━━━ GENERATE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[cloud] Compete: open tier for AWS a1.metal ARM64
[cloud] llama-4-maverick    ✓ done (323 chunks)
[cloud] qwen-3-32b          ✓ done (6092 chunks)
[cloud] deepseek-coder      ✓ done (1105 chunks)
[cloud] gpt-oss-120b        ✓ done (686 chunks)

━━━ COMPILE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[gcc]  llama-4-maverick    ✅ compiled (2.1s) [961tok]
[gcc]  qwen-3-32b          ✅ compiled (4.3s) [7804tok]
[gcc]  deepseek-coder      ✅ compiled (3.2s) [1778tok]
[gcc]  gpt-oss-120b        ✅ compiled (3.2s) [1344tok]

━━━ SANDBOX ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  ✅ llama-4-maverick   exit 0 · "Read/Write: -18666 MB/s" ⚠ bug
  ✅ qwen-3-32b         exit 0 · "Read: 3317.57 MB/s"
  ✅ deepseek-coder     exit 0 · "Initializing 64MB buffer..."
  ✅ gpt-oss-120b       exit 0 · "Copy bandwidth: 4022.29 MB/s"

━━━ DEPLOY TO SBC ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[scp]  Copied 639760B → ubuntu@***.***.***.***
[ssh]  Read Speed: 3927.29 MB/s
[ssh]  Write Speed: 3927.29 MB/s
[ok]   ✅ qwen-3-32b verified on AWS a1.metal ARM64

[scp]  Copied 640048B → ubuntu@***.***.***.***
[ssh]  Write bandwidth: 3059.83 MB/s
[ssh]  Read bandwidth:  4041.88 MB/s
[ok]   ✅ deepseek-coder verified on AWS a1.metal ARM64

━━━ FINAL ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[  ✅ ] 67.8s · 8cr · 4/4 sandbox · 4 deployed to SBC

 
┌──────────────────────────────────────────────────────┐
  RESPCODE Hardware Agent v0.8.0        Plan: API  
└──────────────────────────────────────────────────────┘

  Configured targets:
  ▸(1) Local Machine  [sbc · x86 · localhost]
  (2) NUCLEO-F767ZI  [bare-metal · arm32 · pyOCD · stm32f767zi]
  (3) Raspberry Pi 4 [sbc · arm64 · SSH pi@192.168.1.50]
  (4) AWS a1.metal   [sbc · arm64 · SSH]

 write a C program that measures memory bandwidth using
  memcpy on a 64MB buffer, report read/write speeds in MB/s

━━━ GENERATE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[cloud] Compete: flagship tier for Local Machine
[cloud] claude-opus-4-6     ✓ done (298 chunks)
[cloud] gpt-5-2             ✓ done (762 chunks)
[cloud] gemini-3-pro        ✓ done (34 chunks)
[cloud] deepseek-coder      ✓ done (711 chunks)

━━━ COMPILE ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[run]  claude-opus-4-6     ✅ compiled [1717tok]
[run]  gpt-5-2             ✅ compiled [1380tok]
[run]  gemini-3-pro        ✅ compiled [1366tok]
[run]  deepseek-coder      ✅ compiled [1290tok]

━━━ SANDBOX ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
  ✅ claude-opus-4-6   exit 0 · "Memory Bandwidth Benchmark"
  ✅ gpt-5-2           exit 0 · "memcpy bandwidth test (64MB)"
  ✅ gemini-3-pro      exit 0 · "Initializing buffers (64MB)..."
  ✅ deepseek-coder    exit 0 · "Memory Bandwidth Test (64MB)"

━━━ DEPLOY LOCALLY ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[local] claude-opus-4-6 → ~/respcode-deploy/program (16312B)
[run]  memcpy: 46783.2 MB/s · memset: 20195.2 MB/s · read: 21054.9 MB/s
[ok]   ✅ claude-opus-4-6 verified locally

[local] gpt-5-2 → ~/respcode-deploy/program (16616B)
[run]  Read: 22597.23 MB/s · Write: 21738.68 MB/s
[ok]   ✅ gpt-5-2 verified locally

[local] gemini-3-pro → ~/respcode-deploy/program (16328B)
[run]  Copy Speed: 20040.81 MB/s
[ok]   ✅ gemini-3-pro verified locally

[local] deepseek-coder → ~/respcode-deploy/program (16328B)
[run]  Write: -6379.56 MB/s · Read: -6336.61 MB/s ⚠ bug
[ok]   ✅ deepseek-coder verified locally

━━━ FINAL ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
[  ✅ ] 58.5s · 29cr · 4/4 sandbox · 4 deployed locally

 
01
Install
One curl command. Auto-detects architecture. Creates default config with your boards.
02
Prompt
Describe what you want. 4 AI models generate code in parallel — best output wins.
03
Flash & Verify
Compiles in cloud, flashes via pyOCD/ST-Link or deploys via SSH. Reads UART/stdout to confirm.
04
Self-Correct
Failed? Agent reads the error, escalates to a smarter model, and retries — up to 3 attempts.
Supported Hardware
ARM MCU's ARM SBC's x86 Linux AARCH64 RISC-V MCU and SBC
Orchestration

Multi-Model Modes

Eliminate single-point failure in code generation through parallel agent architectures.

Compete
Parallel Race

Run 2–5 models simultaneously. Compare outputs side-by-side. Best code wins based on sandbox verification.

Collaborate
Architect + Auditor

One model generates, another reviews for bugs and security issues. Iterative refinement until code passes.

Consensus
Quorum Vote

Models vote on the best approach. A merger synthesizes the final solution. Proceeds only on majority agreement.

Sandbox Execution

Execute on Any Architecture

Compile and run generated code in isolated Firecracker microVMs with real-time output.

Enterprise
x86_64

Full Linux with GCC 13, Clang, Valgrind. Native execution on Firecracker VMs.

GCC 13GDBValgrind
Embedded
ARM64 / ARM32

Native ARM on Graviton instances. Baremetal cross-compilation with QEMU verification.

NEONQEMUBaremetal
Open ISA
RISC-V

RV64GC emulation via Spike and QEMU. Open ISA development and verification.

RV64GCSpikeOpenOCD
HDL
FPGA

Verilog and VHDL simulation with Icarus Verilog and Verilator. AWS F1 integration planned.

VerilogVHDLVerilator

Start Building

Install the agent and generate your first firmware in under 60 seconds. Web IDE is free forever.

Get Started Free →

Web IDE: free unlimited · Agent: 500 credits included