My AI-built feature works. The handoff is where I find out if I actually built it well

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I've started using a simple test for AI-assisted features:

Can someone else understand what changed without sitting next to me?

While building with an AI agent, I usually have a lot of context in my head:

  • Why I chose this approach.

  • What I told the agent.

  • Which workaround we rejected.

  • Which edge case worried me.

  • What I didn't want touched.

  • Then the feature works, and it feels finished.

But when I look at it as a handoff, a different question appears:

Could another developer — human or AI — pick this up tomorrow without reconstructing the entire conversation?

So before I consider a larger feature finished, I try to leave behind:

  • a short description of what changed

  • the important constraints

  • unusual decisions and why they exist

  • how to verify the behavior

  • anything deliberately left for later

It doesn't need to be a huge document.

The goal is simply to move the important context from:

my head + the chat history

into:

the project.

That's becoming one of the more interesting parts of AI-assisted development for me.

AI can dramatically reduce the cost of writing code.

But if the reasoning disappears with the chat session, the project may become harder to maintain faster than it becomes easier to build.

What's your test for deciding an AI-built feature is actually "done"?

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This is a really good test. If the reasoning only exists in the chat, the feature isn’t really finished. I usually want the important decisions, constraints and verification steps to survive outside the session.

 Exactly. That’s the part I’m starting to care about more too.

A feature can be technically complete while the context needed to maintain it is still trapped in the AI session.

I’ve started thinking of “done” as more than working code:

Working → Verified → Understandable → Handoff-ready

The last two are easy to overlook when an AI agent can produce the implementation so quickly.