#Code Quality

Which AI Actually Writes the Cleanest Code? We Tested All Three on Real Refactors

A rigorous code quality shootout between Claude Sonnet 5, GPT-5.6, and Gemini 3.7 Flash. We analyze cyclomatic complexity, dead code generation, type safety, and memory allocation across 100 complex legacy refactors.

29% of Code Is Now AI-Generated. I Audited Mine to Check

Industry benchmarks vs codebase reality. Read an engineering audit of a production repository to analyze the ratio, quality, and churn of AI-assisted code.

Tracking How Fast AI-Generated Code Quality Actually Improved This Year

The 2026 code quality trajectory audit. Tracking HumanEval, SWE-bench Verified, security flaw rates, and multi-file refactoring accuracy across 12 months.

Why 'Vibe Coding' Became Both a Compliment and an Insult in 2026

The dual nature of 'vibe coding'. How natural-language prompt programming became a high-velocity prototyping superpower for founders and a term of abuse for sloppy production engineering.

Building Custom ESLint v9 Flat Config Rules with TypeScript & ASTs in 2026

Mutation Testing in Production: Killing the Tests That Test Nothing with Stryker & Mutmut (2026)

The Zero-Test Legacy Codebase Triage Guide: Characterization, Seams & Strangler Fig (2026)