How I replaced a full AI agent platform with Claude Code, bash scripts, cron jobs, and deliberate simplicity.

Two studies reach opposite conclusions about AGENTS.md files. One says they barely help and increase costs. The other says they hit 100% pass rates. Both are right — and the tension tells us something important about context engineering.

What's really happening when AI can build code for free but agents keep building the wrong thing? The bottleneck shifted from production to specification — and a two-class system is forming.

Claude Opus 4.6 ships with a 1M token context window that actually works. But the case for context engineering is stronger than ever.

A new workflow is emerging: AI reviewing AI-generated code before humans ever see it. This changes everything about how we think about code review.

Code generation is solved. The bottleneck has moved upstream. The teams winning with AI aren't better at prompting—they're better at knowing what to build.

A deep dive into Anthropic's 2026 Agentic Coding Trends Report and what it means for engineering teams, organizations, and the future of how software gets built.

A concise, fun summary of Matt Pocock's AI Hero roadmap — everything you need to know about becoming an AI Engineer, from LLM basics to building agents with the Vercel AI SDK.

A practical guide to getting better results from AI assistants. Whether you're new to AI or already using it daily, these techniques will help you work smarter.

AI tools don't generate mockups—they eliminate the need for mockups entirely. As high-fidelity prototypes emerge directly from code, the traditional design workflow faces an existential question.

How thoughtful context design is becoming as important as model selection in building effective AI applications.

A comprehensive framework for evaluating and improving your codebase's readiness for AI agent-assisted development, with detailed criteria across 9 pillars.