Want a quick email when a new article is published? Subscribe
The engineers most resistant to AI coding tools aren't who you'd expect. And the gap between those using them properly and those refusing to look is widening at a pace that should worry anyone planning a career in this profession.
Your team's internal tools backlog is the perfect low-stakes proving ground for AI development. Here's why, and how to make it happen.
Cutting through the noise on AI-assisted development, for people who need to make decisions about it.
When your tech team blames slow progress on 'context switching', they probably mean something else entirely.
A peek behind the curtain of PE/VC technical DD. What raises red flags, what impresses, and how to prepare.
Aviation has spent a century formalising how to handle human error. It is time software engineering caught up.
Most companies have spent 18 months playing with LLMs and have nothing to show for it. The problem isn't the technology.
Goodhart's Law in action: why measuring the wrong things destroys teams, and what to do instead.
Translating technical reality into board-level conversation. What to say, what to skip, and why a live demo beats a slide deck.
It's not always bad. Why your CTO should be borrowing against the future.
Why your engineering team isn't just 'typing' and why a single misplaced space can bring a platform to its knees.
When building gets cheaper, the finances change completely
AI handles the typing. The hard part was never the typing.
The risks are real. They're also familiar, and manageable.
Your developers are probably already using these tools. The question is whether they're doing it intentionally.
Your developers are probably already using these tools. The question is whether they're doing it intentionally.