By 2030, nobody will write code anymore and here is why. The difference between agent-powered engineers and those who handcraft code is huge. Here's our prediction on software engineering.
AI adoption fails when treated as a tool rollout. This guide covers the decision framework, team dynamics, economics, and mistakes from 150+ technical audits.
Vibe coding or AI-assisted development? The choice isn't binary, but getting it wrong at the wrong stage will cost you. This piece breaks down when to embrace speed over architecture, when to take back control, and why the best teams don't pick sides.
AI coding agents draft code, write tests, and open pull requests autonomously. This guide covers the tool landscape, readiness signals, a phased rollout plan, and the team dynamics that make or break adoption.
AI code review catches what humans miss and misses what humans catch. This guide compares the tools, shows what each catches, and walks through setup without replacing human judgment.
If you believe what you see on LinkedIn, startups don't need employees anymore, real founders just have agents building their companies. You write a prompt, fire off the agent, and wait for customers. In reality, you get a vague workflow that produces a mediocre demo at best.
What will the state of AI be like in a year's time? Here are Mike Veerman's predictions of what major things will happen next in AI
AI agents aren’t just chatbots. They observe, plan, and act to solve problems across systems. Powerful for workflows but costly and prone to errors, their value comes from tackling focused business problems, not the hype.
Cursor’s new background agents feature lets Pro users spin up cloud-based environments that clone your repo, complete small tasks in parallel, and create PRs without touching your local setup.