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Quality

Definition

Quality coverage in this archive spans 7 posts from Nov 2017 to Mar 2026 and leans into practical engineering craft: interfaces, testing, and maintainable implementation details. The strongest adjacent threads are ai, testing, and code review. Recurring title motifs include ai, code, evaluation, and testing.

Working claims

  • The through-line is clarity first: simple designs that survive change beat clever abstractions.
  • Early posts lean on code and stop, while newer posts lean on ai and evaluation as constraints shifted.
  • This topic repeatedly intersects with ai, testing, and code review, so design choices here rarely stand alone.

How to apply this

  • Keep interfaces small, automate regressions early, and make operational assumptions explicit in code.
  • Start with the newest post to calibrate current constraints, then backtrack to older entries for first principles.
  • When boundary questions appear, cross-read ai and testing before committing implementation details.

Where teams get burned

  • Abstracting before usage patterns are stable enough to justify indirection.
  • Treating style consistency as optional until quality and velocity both degrade.
  • Applying guidance from 2017 to 2026 without revisiting assumptions as context changed.

Suggested reading path

References

6 entries tagged “Quality”

    Testing AI Where It Actually Runs · 6 min Offline evals are necessary but not sufficient. Here's how I test AI features in production with shadow mode, canaries, and rollback automation -- with Go code. testing ai production AI Code Review Is Mostly Noise · 4 min I've been running AI code review on real PRs for months. It catches some real bugs. It also generates a staggering amount of useless commentary. code-review ai development LLM Evaluation: Stop Shipping on Vibes · 5 min Your LLM feature looks great in demos and breaks in production. Here is how to build an evaluation loop that catches regressions before your users do. evaluation llm testing AI Code Review: What It Actually Catches (And What It Misses) · 4 min After three months of using AI-assisted code review across multiple projects, here's what actually works and what's just noise. ai code-review developer-tools Testing Microservices Without Losing Your Mind · 5 min Microservices fail at the seams. A layered test strategy that keeps feedback fast and catches integration issues before production. testing microservices contract-testing Stop Counting Code Reviews and Start Reading Them · 4 min Most code reviews are theater. Here's what actually makes them worth the time. code-review engineering quality
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