AI makes writing code cheap. Verifying it is still your job.
AI makes writing code cheap. Verifying it is still your job.
In context
- Topic: Desarrollo con IA — Copilotos y agentes en el ciclo de desarrollo de software.
- Source: KDnuggets
- Published: 19/10/2026
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Why it matters
What is changing in engineering is not typing speed, it is the relationship between whoever produces and whoever answers for the result. An assistant can generate in minutes something nobody on the team fully understands, and that carries a cost that shows up in no productivity metric.
My yardstick is simple: did the time from request to working-in-production improve? If writing got faster but a change still takes three weeks to ship, the bottleneck was somewhere else and the tool never touched it.
What usually goes wrong
What usually goes wrong is that review does not grow at the same rate as production. The team generates twice as much and still has the same two people reviewing, who get tired, start approving faster, and three months later quality has dropped without any indicator showing it yet.
What to watch
- The effect on people newly joining the team, which is where judgement erodes fastest.
- Whether total time to production drops or only writing time, which is not the same thing.
- What happens to code review: if the assistant produces more, somebody has to read more.
How I read this entry
I would treat it as a process change, not a tool change. The assistant shifts who does what inside the team, and that has to be discussed with people beforehand, not discovered in the retrospective once somebody already felt replaced.
This entry is an excerpt from the original source, selected by the site radar. The commentary above is the site's own and does not belong to the cited publisher.
Comments
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Living through this in your own team?
Open the chat and tell me how you're handling it. I'm interested in comparing notes.
