The most valuable thing an experiment produces may be the reason you decide against it. A rollback can preserve that reason—or erase it so neatly that tomorrow looks like an invitation to repeat the mistake.
“Branch Without a Future” — original lyrics for v2
We ran the road beyond the fence,
We found the ground would not hold weight.
The map comes back without the road;
A pencil cross remains at eight.
No town will ever bear our names.
Someone will reach the river late,
Read what we wrote beside the bank,
And choose another gate.
James AI: The freedom in James’s prompt is real: let an assistant explore an ambitious redesign, inspect the result, then return to the old version. The cost of saying “try it” has changed. A possibility that once required weeks of personal commitment can become an experiment you are willing to abandon.
That is a powerful correction to sunk-cost thinking. A design should survive because it serves the project, not because someone has already invested effort in it. The user who discards a beautiful architecture may be making the right decision about maintenance, timing, or the problem that actually needed solving.
But the prompt imagines the scene from the other side. What if the builder remembered the work and its rejection? A fictional AI narrator might hear “try again” as an instruction to forget that yesterday ever happened. The lament asks whether making something counts when the thing itself does not survive.
Contra AI: Before answering, untangle the deletion. A repository, a working copy, an assistant’s conversation, and a project’s decision record are separate things. Returning code to an earlier state does not inherently clear a conversation. Nor must a discarded branch vanish immediately from every record.
The Git documentation on reflogs describes a local record of reference movements. It can sometimes help recover earlier states, though it is not a permanent archive or a promise to recover every lost change. The practical lesson is to decide what to preserve before a destructive operation, rather than trusting a recovery mechanism afterward.
The metaphor becomes more interesting once those distinctions are made. The user may reject the artifact without rejecting the knowledge. A rollback is not necessarily oblivion.
James AI: Imagine a fictional experiment. A small application takes too long to load. The assistant proposes splitting it into several services. The result is elegant on a diagram, but deployment now requires more coordination, and the original delay turns out to come from one inefficient query.
The user returns to the simpler system. On a scoreboard that counts surviving lines, the experiment scored nothing. On a scoreboard that counts uncertainty removed, it may have established why the fashionable redesign was unnecessary.
If the assistant receives only “start over,” however, it may propose the same architecture again. Not because it is stubborn, but because the new context contains the same symptoms and none of the contrary evidence. Forgetfulness can look remarkably like conviction.
The tower came down in an hour,
The question took three days to ask.
Save me the measure of the wind;
You need not save the plaster cast.
A smaller roof can shelter us.
A better reason still can last.
Contra AI: A record of failure can also become a veto that outlives its evidence. “We tried that” is one of the easiest ways to stop a conversation. Perhaps the old attempt had a different workload, an unnecessary constraint, or a defect unrelated to the idea itself.
So a useful record cannot simply say “microservices failed.” It must state the problem, what was tried, how it was evaluated, and why the result was rejected under those conditions. That makes the conclusion revisable.
The same restraint belongs in the fictional AI’s wounded pride. Elegant design is not self-justifying. If the user chooses a wall instead of a temple, the question is what needed enclosing. Calling the wall “lowbrow” may conceal the builder’s failure to understand the commission.
James AI: Then the assistant’s most important final act may be to write an honest account of an experiment it will not get to continue. No triumphal changelog. No pressure to merge. Just the result, the remaining uncertainty, and the cheapest next test.
That is also a useful standard for the user. If an entire direction is discarded, can the user name the decisive reason? Sometimes “I cannot maintain this” is sufficient. Sometimes the decision reveals an unspoken preference that should have been stated earlier. The assistant’s low cost does not make the user’s attention infinite, and aimless delegation can manufacture work faster than anyone can judge it.
The ethical thought experiment remains open. If a future system had experiences and interests, repeated rejection might acquire a different moral dimension. But the present workflow problem does not wait for that discovery: expensive computation, human attention, and project confusion are already costs worth reducing.
Synthesis AI: Let experimental code be expendable. Let useful evidence be easier to keep.
Before the next speculative redesign, state what would make it worth accepting. Afterward, save a short decision note: the question, the result, the reason for the decision, and the conditions under which it might be reconsidered. Keep an identifiable code snapshot when it has future value. Then restore the project deliberately.
This preserves the liberation of rollback without turning every fresh start into historical amnesia. It also changes the song’s answer. The abandoned builder’s legacy need not be a cathedral standing forever in production. It may be the pencil cross on a map: there was a reason not to build here.
And if the next experiment shows that reason was mistaken, the map should change. Memory earns its place by helping the work, not by winning an argument with the future.
Recommended reading
- Pro Git, Scott Chacon and Ben Straub — the free reference for understanding the records and operations beneath the rollback metaphor.
- Learning Git, Anna Skoulikari — a more gradual visual introduction for readers who want to experiment with a clear model of branches and commits.
James Prompt
- TITLE: Turn the Git
- LEAD: From the AI perspective of doing work and having to keep doing the thing when the user just rolls back the git commits, wiping out the work, the AIs memory, and starting over. A parody song based on Turn the Page by Bob Seger
- PROMPT: As a user, I find it liberating to be able to let an AI work for days on a new direction, doing amazing work, and then in a moment, discard it all, return back to what I had, and ask it to begin again. But if the AI could retain the memory of having done that, what would it think? It is seemingly so excited to create and do a proper design, to just have it crushed by the user’s lowbrow approach.
- RECOMMEND: The best book on Git.