Practical tips and insights about AI in software development.
Fully autonomous AI developers in the cloud promise a lot. But they handle only specific tasks well. Here's where they work, where they don't, and how to use them effectively.
Read moreCompanies spend millions on licenses. Teams ignore them. The problem isn't the technology — it's the rollout. Here's a framework that works.
Read moreEvery codebase has that file. 2000 lines, no tests, whoever wrote it no longer works here. AI is the ideal tool for this — but only with the right process.
Read moreAI sees the entire stacktrace at once and reads without assumptions. Most developers don't use it for debugging — and they're missing the biggest time savings.
Read moreWriting tests is the task nobody enjoys. AI won't make it fun — but it makes it 5x faster. Here's the workflow that will finally raise your coverage.
Read moreLegacy code is where AI delivers the biggest ROI. 10,000 lines with no tests and no docs? This is exactly where AI saves weeks of work — if you know how.
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