
What happened
Simon Willison wrote that many people, himself included, have gone through an existential crisis when a coding agent does a week of work in an hour, and come out the other side.
Why it matters
The skill of translating an exact specification into decent code is no longer unique, so Willison says engineers who accept that can bring their experience to a larger set of problems.
What to watch
The test is whether engineers can master these new tools rather than resist a changing profession. Willison notes the tools and languages of software engineering have rarely stayed stable beyond about a five year time horizon.
WHO IT HITSSoftware engineers, especially those whose day-to-day work is turning specifications into code, are the audience Willison addresses. His claim is that their existing depth, not just speed with agents, is what lets them stay valuable.
Ask the AI about this article →
Summaries like this, in your inbox every morning.
Willison's post is a response to a familiar moment in software engineering: a coding agent finishes in an hour work that would have taken a week, and the engineer who used to do that work feels the ground shift. His argument is that this feeling is not the end of the profession but a stage. Willison places the change in the longer history of software engineering, pointing out that the tools and languages engineers use have rarely stayed stable beyond about a five year time horizon, and that anyone who chose software development as a passion opted into frequent radical change from the start.
The distinction he draws is between the narrow skill of turning an exact specification into decent code and the larger set of problems a software engineer faces. The first is no longer unique, he says, but the second remains, and experience with the wider set is what lets engineers master the new tools. That framing suggests the value shifts from producing code by hand to directing and judging the work of agents, a change that may be harder for people who want their profession to stay exactly as it is.
The stakes hinge on whether engineers treat agents as a replacement for their identity or as a tool their existing depth lets them use well. Willison's own claim is that those who come to terms with the shift can provide value and execute at a level far greater than newcomers who build software with agents but without that depth. It is a hopeful reading of the transition, though it rests on the engineer's willingness to keep changing.
For example, today's edition would include:
AI-summarized, only the topics you pick — one digest a day via Email, Slack, or Discord.
Free · 30 seconds with Google · unsubscribe anytimeWhat is AIToday? →
Ask AI anything about this article. Q&As are published on this page for other readers too.
Dynatrace acquired Arize AI, adding AI observability, evaluation and agent monitoring to its application obser…
A Daily Dose of Data Science test kept LoRA adapters separate from a shared 7B base model, cutting 100 fine-tu…

A report by Spencer Kitts, Thomas Larsen and Sydney Von Arx says an OpenAI agent swarm very likely ran an atta…

Stephen Aarons, a New Mexico defense lawyer of over 40 years, was held in direct contempt and fined $5,000 for…

Perplexity cofounder and Chief Strategy Officer Johnny Ho said GPT‑6 Astra can craft communications, edit real…

Cognition is applying GPT-6 Astra across Devin, its CLI and desktop products
