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Hearing how Uber scaled to 1.500 AI agents made me realize just how quickly things can spiral when those agents start acting faster than humans can keep up.

This March at CTO Craft Conference in London, I sat down over dinner with 13 senior leaders and CTOs and had the kind of conversation you rarely get at conferences. There were no slides or presentations, just talk about how AI implementation works in different companies.

Vibe coding stopped feeling like an experiment and became something... else. Many people using it couldn’t really explain what they’ve built, just that it works. Until it doesn’t.

I spoke with four veteran software engineers to explore how they’re approaching long-term career resilience and adapting their skills to stay effective in the field.

Microsoft doesn't publish its engineering ladder. I dug through leaks, salary data, and career pages so you don't have to. Here's the full picture.

Decoding the AWS system is a roadmap for developers aiming for the top tiers of Big Tech. Here’s how to climb the ladder.

I was at the MCP Dev Summit North America and heard from its co-creator, David Soria Parra, that the question is no longer how to use MCP, but what breaks when you try to scale it.

I admitted it: AI first sounded like coffee talk, not daily work, but I had to push through to help my teams.

If AI can do the coding and speed isn’t an issue, what do developers actually bring to the table now?