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After learning software engineering during the era of Artificial Intelligence, is software engineering dying in 2026? (what the data actually says) https://www.youtube.com/watch?v=1PdgNyOy20w
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AI Ops first is a bold thesis to lead with. The dark cinematic teaser with the floating refund resolver card sells the ambition without giving everything away.
Stop reading every line of AI-written code.
You can't keep up, and reading isn't understanding anyway. The Meta engineer who said it all feels like a black box skipped the step that matters, the design. I decide the interfaces and the plan, and the model fills in the bodies. Then I know what each part is for without reading it twice.
Then I make it write the tests I'd have written, and nothing merges without a check from something that didn't write the code. In my own Claude Code setup that's a review gate: a second pass reads the diff cold and has to say yes, and a commit hook blocks secrets and client names before they leave my machine.
The black box isn't the tool. It's what you get when the model writes the design as well as the code. If you let it do both, how did the code look three months in?
Messy. Now I write the interfaces myself and let it fill in the bodies. Way easier to come back to later.
AI made exploration much cheaper for me
i'm not sure it made the work more enjoyable.
i enjoyed manually exploring different directions
even when it took a lot of effort
once i had a solid foundation,
new screens came together pretty easily
now i can generate a dozen directions and get something functional quickly
but it's often almost unusable.
most of my work comes afterward:
rearranging things,
discarding bad ideas,
removing generated slop...
feeling like this limping little guy
protecting you from the slop
That limping little guy protecting us from the slop is painfully relatable, Anton. I feel the same: generating a dozen directions is cheap now, but the rearranging, discarding and de-slopping afterward is where the real craft lives.