Intent is becoming a first-class artifact
ai software productivityThe big change is just this: plausible code is now much cheaper to produce. Getting from a vague thought to something that looks like software is dramatically easier than it was. That does not mean building good software is suddenly easy. But it does change what matters more.
The weird consequence is that the explanation of what you actually want starts to matter more. If code can be regenerated quickly, then more of the value shifts into direction. What problem is actually worth solving? Which tradeoff matters? What kind of change should even exist in the first place?
That changes the old “ideas are cheap, implementation is hard” line a bit. Implementation is still hard where it counts. But exploring possible implementations is cheap enough now that good ideas and clear intent start to matter more again. Not creativity in the motivational poster sense. Judgment. Choosing the right direction before you pour concrete on the wrong one.
This does not mean we can replace code with prompt transcripts and pretend that is engineering. But it does force a clearer distinction between a few things:
- prompts as disposable conversations
- intent and specification artifacts as things a team can actually keep and reuse
- ideation as the act of selecting, shaping, and refining which candidate direction is worth pursuing
- code as either a disposable experiment or a trusted asset, depending on whether it survives real use
This matters because AI can dump a huge pile of possibilities on the table. Variants, reframings, implementations, endless plausible directions. The scarce thing is no longer producing options. The scarce thing is deciding which option is actually worth taking through the constraints of the real system.
Someone without much domain understanding can now put together something plausible very quickly. Sometimes it even looks good for a while. But plausible is not the same thing as right. And it is definitely not the same thing as trusted. The valuable bit is being able to say: this is the direction that fits the problem, these are the principles shaping the change, and this is the version of the idea worth betting on.
That is why I think intent is becoming a first-class artifact. The real value is not the prompt itself. It is the path from intent to trusted, used code.
Once intent is explicit, review gets easier. Future humans have a better chance of understanding why the system behaves the way it does. Agents have something more stable to work from than a one-off chat. And teams get a cleaner way to separate shiny generated output from code they actually use.
So explanation stops being documentation theatre bolted on at the end. The why and the direction become part of the build process. As generation gets cheaper, that part of the work gets more valuable, not less.