LLMs, AI agents, ChatGPT, Claude, machine learning and the future of AI.
Building my first real machine learning model, I was thrilled when it hit 99% accuracy on the test set. Then I deployed it and discovered why that number meant almost nothing.
After 11 years of copy-pasting from Stack Overflow, I switched entirely to AI for my coding questions. Six months later, I have thoughts — some of which genuinely surprised me.
Most developers blame the AI when prompts don't work. After a year of building AI-powered tools, I've come to a different conclusion: the problem is almost always how we frame the request.
I used n8n and Claude to build an AI agent that triages, drafts responses to, and files my emails. Here's what it got right, what it got hilariously wrong, and whether I'm still running it.
The term 'prompt engineering' set us up to think about the wrong problem. What actually determines AI output quality is context — and that requires a completely different mental model.
I've tried almost every AI tool in the last 18 months. Here's the short, honest list of what's actually in my daily workflow, what I abandoned after the hype wore off, and what surprised me.
I've been writing code professionally for 12 years. I've watched AI go from novelty to daily tool. Here's my honest, unexaggerated answer to the most anxious question in our industry.
I consider myself reasonably security-aware. Then I clicked a link I absolutely should not have clicked. The email that got me was so good it scared me more than getting phished did.
GitHub is exploding with Claude Code skills repositories. Discover the top skills, how to install them, and why the skills ecosystem is reshaping how developers use AI in their workflow.
Two of the most powerful AI code review tools are now Claude Code and OpenAI Codex. We compare their strengths, weaknesses, costs, and ideal use cases to help you pick the right one for your team.