7 min read
Boring Code on Purpose: Writing Software I Can Maintain at 2 AM
Why I now prefer explicit, predictable code over clever one-liners, the four questions I ask before merging, and when terse code is the better choice.
6 articles
Why I now prefer explicit, predictable code over clever one-liners, the four questions I ask before merging, and when terse code is the better choice.
Continuous evaluation maintains AI quality standards throughout the system lifecycle.
Regular evaluation with consistent metrics drives continuous improvement in AI quality.
Quality isn't one dimensional. Consider: Accuracy : Factual correctness Completeness : Covering all aspects Coherence : Logical flow and consistency…
Understanding and implementing key metrics for evaluating LLM application performance and quality.
Automated tests are the bulk of my testing pyramid, but there's a tier you can't replace: the human running through a workflow looking for the thing nobody…