
Configure AI Models Instead of Hard-Coding Them
Keep model names in configuration, select models by task, and compare routes using the cost of completed work.

Keep model names in configuration, select models by task, and compare routes using the cost of completed work.

Use a short cooldown for routine dependency releases while keeping known security fixes on the fast path.

Apply Vue 3.6 Vapor Mode to a measured performance problem without rewriting the rest of an established application.

Why pull-request-controlled AI review instructions collapse a trust boundary, and how teams can restore it without giving up useful repository context.

Delegate clearly, ask for evidence, and build trust in AI output one task at a time.

Why modelling each business operation as a reusable action keeps controllers, jobs, commands, listeners and other delivery mechanisms thin.

How I use Codex, JetBrains IDEs, Copilot review, AGENTS.md, reusable skills, and CI checks to make AI coding reliable.

A developer-focused summary of the State of AI 2026 survey, covering adoption, coding agents, paid usage, costs, risks, and what engineering teams should take from it.