opinion

The gap between senior and junior AI usage isn't about knowing more prompts. It's the same gap that existed with Google: seniors know what they need, juniors hope the tool figures it out for them.

Matt Pocock at AI Engineer Europe argues that bad code is now more expensive than ever — and that the engineers winning with AI are the ones who went back to basics.

Birgitta Böckeler's QCon London 2026 talk breaks down context engineering, harness engineering, and why blindly trusting autonomous AI agents is a security and cost disaster waiting to happen.

UC San Diego and Cornell tracked 112 professional programmers using AI agents at work. Not one of them actually vibe coded. Here's what they found — and what it means.

Everyone says AI makes coding obsolete. They're wrong — and the reason why reveals something important about what coding actually teaches you.

Every era of software engineering is really about one thing: building higher abstractions to hide complexity and let developers focus on solutions, not machines. Here's the full arc from machine code to AI.

A practical breakdown of memory types in AI coding tools — what survives between sessions, what gets wiped, and how to build persistent AI teammates that actually know your codebase.

Understanding how context works in AI coding assistants — what goes in, why it runs out, and how to manage it so the AI stays helpful instead of confused.

A practical comparison of vibe coding and spec-driven development — when to flow freely with AI, when to nail down specs first, and how to combine both without losing your mind.

Coding is just one tool in a developer's toolkit. The real job is solving problems — and that means adapting to any tech stack, understanding the business, and thinking beyond syntax.