Software Development

Developers who delegate their coding to AI agents describe losing their felt connection to what they produce, and the grief is real. But the resignation wrapped around it, the idea that this was inevitable because the tools simply work, does not survive contact with the data. [Read More]

In 1975, Edsger Dijkstra diagnosed a fifty-year-old delusion: that programming’s difficulty is a translation problem, solvable by better tools, rather than a reasoning problem. AI is the latest tool wearing that old promise, and it cannot close the gap it was never built to close. [Read More]

AI did not invent software engineering. It inherited it, from generations of engineers who spent decades discovering what worked and why. Removing the people who renew that inheritance does not just risk buggy code. It risks a profession that keeps producing software while losing the ability to produce engineers. [Read More]

Harness-based development produces every visible sign of engineering rigor (green tests, merged pull requests, upfront specs) without the substance rigor is supposed to guarantee: correct software, and humans still capable of noticing when it isn’t. [Read More]