How a Developer Used Claude Code to Reverse-Engineer a Bricked Smart Clock from Bare Metal
Products & LaunchesBreakthroughScore: 92

How a Developer Used Claude Code to Reverse-Engineer a Bricked Smart Clock from Bare Metal

A developer used Claude Code as a co-pilot to reverse-engineer a dead LaMetric Time clock, creating a full USB-boot recovery system with no documentation.

Ggentic.news Editorial·16h ago·4 min read·4 views
Share:
Source: github.comvia hn_claude_codeCorroborated

The Technique — Pairing Claude Code with Hardware Reverse-Engineering

A developer, faced with a completely bricked LaMetric Time smart clock, used Claude Code not just to write code, but as an active partner in a deep hardware reverse-engineering project. The device's internal storage had failed, rendering it a paperweight. The goal was to create a system that could boot the device entirely from RAM over USB, bypassing the dead storage.

The process wasn't about writing a simple script. It was a multi-week investigative partnership:

  • Week 1: Establishing Communication. With zero documentation—no schematics, no source code—they started from scratch. Online resources misidentified the System-on-Chip (SoC). Using the Allwinner FEL protocol (a bare-metal recovery mode), Claude Code helped identify the correct SoC (an Allwinner A13) and build a minimal u-boot from scratch. The stock video and LED drivers crashed on the LaMetric hardware, so they had to be disabled. The first win was getting a Linux 5.15 kernel booting from RAM, even with no visible output.
  • Week 2: Controlling the Hardware. The real challenge was the display, driven by a separate STM32 microcontroller. The developer and Claude Code reverse-engineered the entire communication protocol. Claude disassembled both the Linux kernel driver and the STM32 firmware to understand the SPI frame format, I2C commands, and a critical GPIO pin. The breakthrough was seeing "HELLO" appear on the LED matrix.

This involved solving a complex display mapping puzzle. The 488-byte SPI frame had three physical sections with different byte layouts, including "row-shifted" columns. The developer would run checkerboard tests and report what they saw on the display; Claude Code would adjust the pixel mapping algorithm based on that feedback.

Why It Works — Claude Code as a Persistent Co-Pilot

This project highlights Claude Code's strength in persistent, context-heavy problem-solving. It wasn't a single prompt; it was an ongoing dialogue where Claude Code could:

  1. Analyze and reason about low-level code and disassembly.
  2. Propose incremental, testable hypotheses based on developer feedback (e.g., "I see a diagonal line of pixels lit up").
  3. Maintain context across a sprawling project involving bootloaders, kernel drivers, and microcontroller firmware.

The developer didn't need to be an expert in Allwinner chips or STM32 SPI protocols. They needed a partner who could digest technical fragments, reason about them, and propose the next logical step—exactly the agentic workflow Claude Code is built for.

How To Apply It — Using Claude Code for Your Own Deep-Dive Projects

You can adopt this collaborative, investigative style for complex debugging or exploration tasks.

  1. Start with a concrete, observable problem. Instead of "fix this," frame it as: "The device enters FEL mode. Here is the lsusb output. What's our first step to send a command?" Provide any error messages, logs, or strange outputs as raw text.
  2. Use Claude Code iteratively as a lab partner. Structure your session like an experiment:
    # Run a test and feed the output directly back to Claude
    claude code "I ran `sunxi-fel ver`. Here's the output: [PASTE OUTPUT]. What does this tell us about the chip?"
    
  3. Leverage its analysis for binary/assembly. When dealing with proprietary hardware, you might have firmware dumps. You can ask Claude Code to analyze hex dumps or disassembly snippets for patterns.
  4. Document the process in a CLAUDE.md file. This maintains context for both you and Claude across multiple sessions. Include:
    • Hypotheses: What you think is happening.
    • Test Results: What actually happened.
    • Open Questions: What you need to figure out next.

This case moves beyond using Claude Code for web apps or scripts. It's a blueprint for using it as a force multiplier in domains where documentation is sparse and the path forward is built through experimentation.

AI Analysis

Claude Code users should view it as a partner for **open-ended exploration**, not just task completion. For your next complex problem: 1. **Embrace the iterative loop.** The key workflow was: Developer runs physical test → Observes result → Reports to Claude → Claude analyzes and suggests next test. Use `claude code` after every command or small code change to analyze the new output and decide the next move. 2. **Feed it raw data.** Don't summarize error messages or hex dumps. Paste them directly. Claude's ability to find patterns in raw technical output is a superpower for reverse-engineering. 3. **Start a project-specific `CLAUDE.md`.** For a deep dive, create a file that chronicles your journey, hypotheses, and dead ends. This turns your session into a persistent investigation. Reference it at the start of each new `claude code` session with `-f CLAUDE.md` to maintain full context. This follows the trend of developers using Claude Code for increasingly complex, non-standard tasks, as seen in our recent coverage of it enabling a non-programmer to build a 487-file Unity tool. The tool is proving its value as a general-purpose reasoning partner for technical work.
Enjoyed this article?
Share:

Related Articles

More in Products & Launches

View all