ATN / ADD · QA Automation & Embedded Development

Oleksandr Lupeta — How I Use Claude in My Work

A summary of the engineering tasks I solve with Claude — with a strong focus on embedded firmware development and debugging — while building automated hardware-in-the-loop testing infrastructure for thermal embedded devices, from device firmware up through detection scripts, n8n workflows, and the tester-facing tools that tie them together.

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Embedded Firmware Development & Debugging

Core focus

The center of my work: firmware on the device and its peripherals. I usually know where a problem is likely to live — Claude helps me localize it precisely, reason through the failure, and produce a tight fix. Across our thermal embedded devices this approach lets me find and fix a long list of firmware bugs quickly.

Thermal embedded devices: localizing and fixing firmware bugs from symptoms and known weak spots
Linux v4l2 video capture, streaming, and frame handling
Kernel memory & allocation tactics on embedded boards (allocate-once across STREAMON/OFF)
Driver- and register-level debugging; tracing timing and init-order issues
Device bring-up and hardware control over SSH and MQTT

Reasoning about fragmentation, buffer reuse, and resource leaks
Symlink / device-path resolution for robust capture pipelines
Tasmota ESP8266 + PCA9685 servo JIG for physical button presses
Interpreting kernel logs, dmesg, and crash traces to narrow root cause
C++11 with the team's custom type aliases and coding standards

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Code Generation

n8n Code & HTTP Request nodes with structured JSON I/O
Python detection scripts (OpenCV, ffmpeg, OCR pipelines)
Bash automation and device-control utilities (strict mode, safe quoting)
JavaScript for the tester launcher UI and result handling
C++ helpers and embedded-side glue following ATN standards
Complete, working modules with error handling and cleanup built in

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Bug Finding & Fixing

Localizing bugs fast when I already suspect the area (firmware, capture, workflows)
Tracing failures across multi-stage firmware → script → workflow pipelines
Spotting silent "drop points" where data or state is lost
Diagnosing OCR sign-loss, stream stalls, and baseline contamination
Catching race conditions, init-order, and resource-cleanup faults
Root-cause analysis from logs, dmesg, and node output

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Code Review & Refactoring

Reviewing diffs with a preference for surgical, minimal changes
Flagging fragile patterns (field whitelists, unsafe spreads, hidden coupling)
Tightening error semantics: fail-fast vs. continue-on-error
Checking embedded code for leaks, unchecked returns, and edge cases
Improving resilience with retries and exponential backoff
Keeping changes scoped instead of rewriting working code

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Code & Data Analysis

Inspecting workflow JSON, node graphs, and connections
Reading firmware logs, dmesg, and register dumps to find anomalies
Parsing OCR confidence and color/saturation data from frames
Tuning adaptive detection thresholds from clean baselines
Interpreting test-result grids and cross-validating detection methods
Finding patterns across runs and turning them into actionable fixes

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Test Writing & Testing

Hardware-in-the-loop suites: NUC, photo, reticle, mode switching
Three-layer validation: script + OCR + visual AI analysis
Clear PASS / PARTIAL / FAIL criteria for each test
Async 202 + polling design for long-running runs
Hands-off execution testers can run with minimal expertise

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Documentation

Maintaining CLAUDE.md guidance for the codebase
ClickUp documentation for the broader team
Documenting firmware fixes, root causes, and known weak spots
Structured Markdown / CSV test reports
Runbooks, conventions, and process notes for testers
Editing and unifying the style of technical docs

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Architecture & Troubleshooting

Designing resilient n8n orchestration and Error Workflows
Job locking, heartbeats, and async status-file polling
Docker, nginx, and reverse-proxy configuration
End-to-end debugging from device firmware to launcher UI
Hardening pipelines against transient and hard failures

At a Glance

Illustrative snapshot of how Claude fits into my embedded & QA-automation workflow.

Languages (C++ / Py / JS / Bash)

10+

Automated test types

3-layer

Validation per test

~10h

Saved per week

Where I spend Claude time

Embedded / firmware26%

Debugging & fixes23%

Test automation & scripts18%

Code generation14%

Code & data analysis10%

Documentation6%

Code review3%

Output mix

Firmware fixes & patches — 34%

Debugging & root-cause — 26%

Scripts & test suites — 22%

Workflow / app code & docs — 18%

Tools & stack I work with

C++11 Embedded Linux v4l2 / kernel Thermal devices Tasmota / ESP8266 Python JavaScript Bash n8n Docker OpenCV PaddleOCR / Tesseract ffmpeg nginx MQTT SSH / SFTP