Developers are no longer just asking AI for snippets.
They’re handing over bugs, tests, refactors, and entire codebase tasks.
Claude Code’s creator reportedly runs thousands of AI sub-agents overnight for deeper autonomous work, which shows how fast the developer workflow is changing.
That sounds powerful.
Also slightly terrifying.
Because the next dev advantage may not be writing every line yourself.
It may be knowing:
what to delegate
what to review
what to reject
what not to trust
Teams building serious AI workflows should think product-first, not prompt-first: Start Here!
Question: Are AI coding agents making developers stronger, or just harder to evaluate?
The bounded-loop framing is the right one. Most agent failures in production aren't model failures — they're loop failures. No clear stop condition, no proof that state changed, retries that keep going after the useful signal is gone. Once you force the loop to justify another turn, most of the fake progress disappears.
Keesan
Sharing big ideas and thoughts from personal experiences as a founder, builder, strategic foresight, future perspective and opinions on tech
The bounded-loop framing is the right one. Most agent failures in production aren't model failures — they're loop failures. No clear stop condition, no proof that state changed, retries that keep going after the useful signal is gone. Once you force the loop to justify another turn, most of the fake progress disappears.