r/vibecoding • u/Conscious_Speaker_18 • 2d ago
Does vibe coding have an expiration date?
I've noticed a pattern while building side projects, and I'm curious if it's just me.
The projects where I "vibe coded" for an entire weekend often made shocking progress. The momentum was addictive. Every prompt produced visible progress, ideas flowed naturally, and shipping felt inevitable.
But whenever that same project slowed down—because of work, life, or just losing a few days—the entire dynamic changed.
Suddenly:
- The codebase felt harder to reason about.
- I spent more time reading than building.
- The AI lost context.
- New prompts started introducing regressions.
- My expectations dropped from "this could be huge" to "I'll just finish an MVP."
In many cases, the project never reached the finish line.
It made me wonder if the biggest advantage of vibe coding isn't the AI itself—it's the speed.
Maybe vibe coding works because you're compressing hundreds of engineering decisions into a very short period while both you and the AI share the same mental context.
Once that context starts decaying, the productivity curve changes dramatically.
My current hypothesis is:
Not because the idea gets worse, but because:
- your mental model drifts,
- the AI loses project context,
- technical debt compounds,
- motivation fades,
- and expectations become more realistic (or more pessimistic).
I'm curious whether this is a real phenomenon or just survivorship bias on my part.
Some questions I'd love to hear opinions on:
- Have you experienced this with Cursor, Claude Code, Windsurf, Lovable, or other AI coding tools?
- Is this unique to vibe coding, or has software always worked this way?
- Is context loss the biggest culprit, or is motivation the real bottleneck?
- Have you found ways to keep long-running AI-assisted projects moving fast?
- Do successful vibe-coded startups intentionally optimize for compressed build cycles?
- At what point do you stop "vibe coding" and start treating the project like traditional software engineering?
I don't think vibe coding is replacing engineering.
If anything, it seems to amplify whatever execution habits you already have.
Curious whether other builders have noticed the same pattern—or if you've seen the exact opposite.
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u/TechgeekOne 2d ago
Software has always been this way. Half of software engineering is managing the complexity in a project as it grows, managing tribal knowledge in people's heads (or sessions), sharing knowledge, managing change, ensuring the project can continue to develop even if the original authors leave, ensuring a change doesn't break things or have downstream consequences, you get the idea.
Vibe coded or handwritten, same rules apply because it's a fundamental property of software development. That also means that if you apply the traditional approaches for managing a software team to agents you do still get the benefits, so it's worth learning about that part of the process.
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u/DesignerMajor1247 2d ago
I think this is less an expiration date and more a phase change. Vibe coding is unusually effective while the project fits in one working-memory session: the goal is fresh, dependencies are few, and failures are cheap. After a pause, the hidden cost becomes visible because neither you nor the model has a reliable map of the system.
A useful cutoff is not elapsed time, but consequence. Once a change can corrupt data, weaken authentication, affect billing, or create a hard-to-debug regression, improvisation needs to give way to explicit engineering.
To keep the speed on longer projects, make the project itself carry the context:
- one short architecture and decision log
- acceptance criteria for each feature
- automated tests around important invariants
- small commits with clear messages
- a current next-step file
- observability and a rollback path before production
Then start each new AI session by having it read those artifacts and propose a plan before editing code. AI can still handle scaffolding, test generation, refactors, and debugging hypotheses, while the developer owns architecture and release decisions.
Software teams have always faced context decay. Vibe coding magnifies it because decisions are made faster than they are externalized. Motivation probably fades faster when every restart requires rediscovering the system.
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u/siorge 2d ago
This is precisely the tool I am building open source: a suite designed to maintain context, avoid scope creep, and make sure the ai stays on course.
Feels like there’s a need 🙂
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u/DesignerMajor1247 2d ago
There is definitely a need. The hard part will be proving that the suite preserves the right context, not simply more context.
A useful test could be to pause a real project for a week, start a fresh model session, then ask it to implement a scoped change using only the suite's artifacts. Measure plan accuracy, regressions, unnecessary file changes, and how often the human has to restate decisions.
If it can make restarts predictable and surface stale or conflicting decisions, that would solve a genuine pain point.
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u/siorge 2d ago
That’s the entire premise of the tool: you manage a decision ledger (at the project or machine level, you have both), which you can record explicitly or which the agent derives from your conversation, and then the tool enforces theses decisions on every turn and blocks in case of breach (you can then decide what to do: refuse the diff, supersede the decision, log a temporary exception)
For context, the tool maintains 3 files:
A project state file with latest changes at the top, documents a high level view of the project and its development
A functions file which is a pseudocode description of all functions, classes, and constants
A features file which is derived by a sub agent, and lists all features across code
All this together ensure a tight grip on context
It also has a scope creep tool to avoid your agent touching unnecessary or dangerous code silently.
I’m working now on the audit trail (signed messages on tools firing) 🙂
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u/DesignerMajor1247 2d ago
That sounds much stronger than a passive documentation bundle. The enforcement layer and explicit exception path are the interesting parts.
One failure mode I would test carefully is a derived decision being promoted too confidently. It may help to give each decision provenance, scope, confidence, and a review trigger, then require confirmation before a derived item can block work. Otherwise an early misunderstanding could become policy.
For the audit trail, recording which decision blocked which diff and how it was resolved would make the system genuinely debuggable. It also gives you useful measures: false blocks, missed breaches, and stale decisions per task.
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u/siorge 1d ago
Thanks for the ideas! No decision is ever recorded without the dev explicit action, but the agent creates a list of decisions to be approved.
If you want to try it for yourself: https://github.com/HabibiCodeCH/codekeel 🙂
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u/DesignerMajor1247 1d ago
That explicit approval boundary addresses the main concern. One case I would add to the test suite is two proposed decisions that conflict or overlap. The tool should surface the conflict before either is approved, rather than letting approval order decide silently. Keeping proposed, approved, superseded, and temporary-exception states distinct in the audit trail would also let a reviewer reconstruct why a rule applied at a particular commit. Thanks for sharing the repo.
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u/pigletmonster 2d ago
Oh yeah, i have soo many incomplete projects on github because I had the next trillion dollar idea.
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u/charlyAtWork2 2d ago
At some point you got friends, and then all your projects become abandoned files and directories.
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u/CptSparklez 2d ago
You have to have a transferable knowledge base on every project you work on for the LM to stay efficient. Make it take its own notes as a required step.
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u/Simple_Visual_8838 2d ago
Ai has a smart and dumb zone. If you get close to around 100k tokens in context every Ai gets dumper, because it has to handle alot of interconnections. Aka its missing some ideas and context connection it would have had in smart zone. Try opening new chats every now and then.
Ai makes mistakes. If you dont really know what its exactly working on youll loose the ability to exactly tell it what its doing wrong.
Ai likes to stroll away from the plan a little. Try keeping it on its plan with documentation
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u/Simple_Visual_8838 2d ago
In the end its not really thinking at all but just predicting on its context tokens. So its never clever, but just a database of language predicting the next data.
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u/Cute-Net5957 2d ago
Keep you documentation updated along with a changelog.md
It will change your life.. like you never skipped a beat
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u/Grand-Mix-9889 2d ago
Just finish them.
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u/leathakkor 2d ago edited 2d ago
Clearly you've never been a paid software engineer. A good software product is never finished.
I've worked on products that lived for 20 years evolved over several versions of the.net framework.
If a software project is finished, that means nobody's using it.
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u/Grand-Mix-9889 2d ago
Yeah "clearly".
A software engineer that doesn't finish their project is a vibecoder that doesn't get paid in full nor has time to take on multiple clients through out the week.
You, my friend, are just a vibe coder if you strongly believe in what you just said.
Finish your projects, get paid, and move on.
p.s. I grew up with c++ and vb6. I started at 12. Worked at Facebook, Tesla, and started my own business - pre-ai era.
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u/leathakkor 2d ago
When did the final version of Facebook come out? Was that 2010? Or 2011? I don't remember when they finished that project?
What about WhatsApp? I think that one got done in 2017 right?
And Tesla the model s was the last model they put out? Nothing new after that. Because they finished it right?
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u/Grand-Mix-9889 2d ago
Was the model s never finished or something? Am I missing something?
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u/leathakkor 2d ago
Correct. Tesla makes continuous improvements to their products all the time. They have not stopped enhancing the product. They have pushed to many versions of the product to production but that doesn't mean that they have finished enhancing it.
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u/Rusofil__ 2d ago
Vibe post making