I think “Plan Mode” is slowly becoming obsolete.
Not because planning is useless.
Actually, planning matters more than ever.
The problem is that we turned planning into a document.
For a long time, AI coding looked like this:
Plan → approve → execute.
Write the spec.
Review the spec.
Fix the spec.
Approve it.
Then finally let the agent build.
That made sense when models were weaker and one bad assumption could send the entire implementation in the wrong direction.
But coding agents are changing fast.
They can now explore large codebases, understand context, make reasonable assumptions, test their own work, inspect the result, and revise their approach.
So the workflow is becoming much more natural:
Understand → act → inspect → clarify → adjust → act again.
Planning didn’t disappear.
It moved inside the loop.
And I think this changes something much bigger about how we build software.
The bottleneck is no longer:
“Can AI write the code?”
It increasingly can.
The real bottleneck is:
Can the human still understand what is happening?
When 5 agents are working in parallel, maybe you can follow them.
What happens with 50?
Or 500?
You are not going to read every diff.
You are not going to read every agent conversation.
You are definitely not going to read a 30-page AI-generated spec every time something changes.
So maybe the next big developer tool isn’t a better code editor.
And maybe it isn’t a better Plan Mode either.
Maybe it’s an interface that tells you:
What changed?
Why did it change?
Which assumptions were made?
Where does the system need human judgment?
What should I actually pay attention to?
AI is making code generation cheaper every month.
Human understanding might become the scarce resource.
That’s the part I think we still haven’t solved.
Would you rather have one AI agent that explains everything clearly…
or 100 agents building in parallel while you only review the important decisions?