How to Make a Vibe-Coded Service Last
The long-term sustainability problem in vibe coding, the difference a habit of recording structure makes, and a sustainable long-term development routine.
This is the last of our 11-part series. So far we’ve covered building your first screen with vibe coding, adding features, deploying, and fixing bugs.
In this final part, we’ll bring it all together and lay out how to keep a service you built with vibe coding running for the long haul. It’s a routine for staying manageable a year or two down the road, without losing the speed you had at the start.
The long-term sustainability problem in vibe coding
The biggest strength of vibe coding is speed. You can turn an idea into working code fast. But that speed rarely holds up over the long run.
There’s a pattern that shows up again and again in vibe-coded projects.
| Timeframe | State |
|---|---|
| Weeks 0-4 | Fast pace, features pile up, peak productivity |
| 1-3 months | Pace starts slowing down. Adding a feature breaks something else |
| 3-6 months | The thought “I want to rebuild this from scratch” creeps in — and sometimes it actually happens |
| 6+ months | You keep it running, but you’re afraid to add anything new |
The way out of this pattern isn’t deciding upfront that “I’m going to build something that lasts.” It’s about having concrete habits that keep speed high without letting the structure blur.
The difference a habit of recording structure makes
Let’s revisit the core message we’ve repeated throughout this series.
Speed and structure aren’t opposites
You can build fast without losing structure — but only with the right habits in place.
Adding a line or two to your CLAUDE.md every time you add a feature takes one or two minutes. Those one or two minutes save you the 30 minutes you’d otherwise spend later trying to figure out “wait, what was this again?”
Recording is a note to your future self
The structure notes and commit messages you record now are what your future self will read. They also become the context you hand the AI the next time you add a feature.
The rule of thumb is simple: record things in a way that lets your future self look at them and understand what was going on.
A traceable structure beats a perfect one
You don’t need to design a perfect architecture from day one. The goal is simply to stay able to tell what state things are in and where things live.
Solo or on a team, records are the answer
It’s easy to think, “I’m building this alone, why would I need history?” But the you from six weeks ago is a stranger. You understand the code you write today while you’re writing it, but come back to it a few weeks later and it feels unfamiliar — even more so for vibe-coded code you didn’t write line by line. When the question “why did I handle it this way here?” comes up, having a record means you don’t have to analyze the code from scratch.
On a team, the value of records is even clearer. When a new member joins or the person responsible changes, missing history means it takes one or two weeks just to grasp the structure, and knowledge is simply lost. With the structure and the reasoning behind decisions recorded, a handover is as simple as reading a doc.
Solo or on a team, the principle is the same. Don’t try to write one giant document all at once — leave a single line each time a feature is finished. These small records add up, and three months later the whole flow is there.
A sustainable long-term development routine
Here’s everything covered in this series, distilled into a day-to-day development routine.
Feature-addition routine (every time)
- Check the current state: review the current structure in
CLAUDE.md - Request one feature at a time: write prompts in small units
- Verify: check that it works in the browser
- Record: reflect the change in
CLAUDE.md - Commit: push to GitHub to leave a record of the change
Weekly routine
- Doc check: confirm
CLAUDE.mdstill matches the actual code structure - Bug triage: organize the bugs you found and their resolved status
- Refactoring check: if code complexity has crept up, consider it’s time to clean up
At milestone transitions
- Review the last stretch: summarize what you built this stretch
- Define the next goal: decide the next batch of features to focus on
- Tidy the docs: clean up anything you no longer use
Principles for building a sustainable service with vibe coding
Here are the five principles that sum up everything in this series.
1. One at a time
When adding a feature or fixing a bug, request one thing at a time. Working in small units makes it much easier to pinpoint the cause when something goes wrong.
2. Provide context
Use CLAUDE.md to give the AI your project structure and current state. An AI with context produces better results than one without.
3. Record immediately
If you tell yourself you’ll record it later, you probably never will. Building the habit of recording at the same time you add something is what makes history accumulate naturally.
4. Clean up periodically
If you only ever add features and keep putting off cleanup, code complexity just keeps piling up. Set aside time for refactoring every few weeks.
5. Working comes first
Working code beats perfect code. Once something works, you can improve it. If it doesn’t work, there’s nothing to improve.
Vibe coding is a means, not an end
What I want to emphasize through this series is that vibe coding itself isn’t the goal.
Vibe coding is a means to turn ideas into reality quickly. Being able to build a service without any coding knowledge is a huge shift. But for that service to survive over the long term, you need more than just speed.
A habit of understanding structure, a routine for leaving a history behind, time set aside to periodically clean up code — when these combine with the speed of vibe coding, that’s when a truly sustainable service gets built.
Wrapping up the series
We’ve walked through everything from the start of vibe coding to long-term operation. Here’s a quick recap of what this series covered.
| Part | Topic |
|---|---|
| Part 1 | What vibe coding is, comparing tools |
| Part 2 | Installing Claude Code and your first conversation |
| Part 3 | Explaining your project to the AI with CLAUDE.md |
| Part 4 | Building your first screen, how to write prompts |
| Part 5 | Why structure falls apart, and the habit of recording |
| Part 6 | Connecting external tools with MCP |
| Part 7 | The feature-addition routine, recording structure |
| Part 8 | First steps in deployment |
| Part 9 | Refactoring, cleaning up code |
| Part 10 | Debugging bugs |
| Part 11 | Long-term operation routine and principles |
If you’re building something with vibe coding, I hope this series has helped in even one small way. It’s okay if it’s not perfect, and it’s okay if you don’t know everything from the start. Keep repeating the cycle of building, recording, and improving, and before you know it, your service will have grown.