We share knowledge about AI, smart home and QA.
A blog about quality - in AI, in smart home, in testing. Practical guides, experiments and lessons from the field. No paywalls, no marketing fluff.
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- Jul 29
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All posts →A Tester in Code Review: What You Can Contribute Even If You Don't Write Code Every Day
What a tester should look for in submitted changes, a checklist for your first reviews, and a plan for joining the process without stepping on developers' toes or slowing the team down.
AI in Smart Home, Part 8: A Home That Keeps Watch - Cameras, Privacy, and Local Event Analysis
The eighth part of the AI in smart home mini-series. We assemble local monitoring: Frigate for detection, a vision model for event descriptions, Home Assistant for notifications - and we draw the privacy boundaries a camera should never cross.
AI for Flaky Test Analysis: From CI Chaos to a List of Root Causes
A workflow where an agent collects CI run history, groups failures by error signatures, classifies the root causes of flaky tests, and sets the order of fixes.
Evals for Regular People: How Do You Know Your Prompt Works at All?
A minimal prompt evaluation process without a framework: a golden set of ten cases, binary criteria, an A/B comparison table, and three traps that ruin the measurement.
Test Debt: How to Measure It, Show It to the Business, and Pay It Down Without Stopping the Team
An operational definition of test debt, six measurable signals, pricing in hours and risk, and a repayment strategy that does not require halting delivery for a fix-it sprint.
Argus and Hephaestus: Two AI Agent Teams, One Builds, One Inspects
How I built two teams of specialized subagents in Claude Code: Hephaestus delivers software, Argus hunts bugs. Roles, coordinators, how they cooperate, and when orchestration is overkill.