Vibe coding happens when a developer chats with a large language model, copies the suggested code, runs it, fixes an error, runs again and celebrates a fast win. I have shipped products this way, so I understand the excitement. Yet the approach hides serious risks. This article shows the wrong way to do vibe coding and the professional loop that turns LLM speed into reliable software.
The quick-and-dirty vibe coding loop
brain-fart idea → prompt → copy-paste → run → prompt again → fix → run again → get psyched
The loop feels magical, but notice what stays in your head: a fuzzy idea and the thrill of a fast result. The application grows in the direction the AI pushes—often a remix of other people’s code—while your own understanding stays shallow.
Why the loop becomes a liability
• Maintainability drops: code lacks clear structure and naming.
• Technical debt compounds at warp speed because LLMs let you ship faster than you can think.
• Future features require ripping apart loosely connected snippets.
The right way to use vibe coding
1. Plan before you prompt
Think about users, the problem, the interface and the evolution of the system. For an experienced engineer this takes minutes, not days, because it is muscle memory.
2. Write the context down
Document objectives, constraints and domain language. The LLM never joins your meetings, so you must provide the missing background every time you prompt.
3. Design a clean architecture
List the modules you need, what you can reuse, how you will glue them together, where the app will run and how you will distribute it. Small modules, small functions, clear responsibilities.
4. Prompt with precision
Feed the model the architecture overview, ask for specific pieces, keep context visible and leave no room for guesswork. Enforce naming conventions and boundaries in every request.
5. Iterate piece by piece
Build, test, commit. Only after a component works do you move on. Refactor the architecture continuously, but never abandon the structure that keeps the code understandable.
The three pillars that keep vibe coding on track
Intentions – clear objectives and tasks.
Architecture and execution context – documented module breakdown.
Code – stored in your version-control system, not just in chat history.
Practical checklist before you open the chat window
□ I can explain the user journey in three sentences.
□ I have a list of modules and their responsibilities.
□ I know which libraries I will reuse.
□ I have written the constraints for performance, security and deployment.
□ My prompt references that document.
Key takeaway
Vibe coding is not inherently bad. The wrong way is to rely on speed alone. The right way is to set rails—intent, architecture and documentation—then let the LLM accelerate each well-defined step. Maintainability and clean architecture have never been more important, because code now changes faster than ever.
Ready to turn vibe coding into professional velocity? Schedule a discovery call with Bijuterie Software and let’s build software that is both fast and future-proof.