RespCode — Multi-Model AI Firmware Agent

6 min read Original article ↗

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

● 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

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.

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

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