๐๐ ๐ฆ๐ต๐ถ๐ฝ๐ ๐ฌ๐ผ๐๐ฟ ๐๐ผ๐ฑ๐ฒ ๐๐ป ๐ ๐ถ๐ป๐๐๐ฒ๐. ๐ฌ๐ผ๐๐ฟ ๐ง๐ฒ๐ฎ๐บ ๐ฃ๐ฎ๐๐ ๐๐ผ๐ฟ ๐๐ ๐๐ผ๐ฟ ๐ ๐ผ๐ป๐๐ต๐.
AI writes code fast. That is the problem.
Speed is not the enemy. Unmaintainable speed is.
AI tools can ship a working endpoint in minutes. They cannot ship code you can safely change six months from now.
I see this pattern often. Teams ship fast and celebrate. Then the codebase becomes a place people fear. Every change breaks something else.
The cause is not complexity. It is coupling.
AI often jams HTTP handling, SQL, business rules, and response formatting into one function. It works for a demo. It fails in production. This is tight coupling. It is a time bomb.
Think of a restaurant. One person takes orders, cooks, cleans, and tracks inventory. With five tables, it works. With fifty tables, it fails. Mistakes pile up. No one knows who is responsible.
A good kitchen has clear roles. The waiter handles the table. The chef runs the kitchen. The pantry staff manages food. Each person has a boundary.
Layered architecture does this for your code.
- The Controller handles HTTP. It receives a request and calls a service. It does not touch the database.
- The Service holds business logic. It decides how the business behaves. It does not care about HTTP.
- The Repository owns data access. It handles SQL and database calls. It does not care about business rules.
This structure gives you:
- Better testing. You test logic without a database.
- Easy refactoring. You can change your database without touching business rules.
- Faster onboarding. New engineers understand one layer at a time.
- Safer AI usage. You can ask AI to write one layer without breaking the rest.
AI tools optimize for the shortest path to a result. They follow tutorials and quick guides. They do not build production architecture.
If you use AI to build a single giant block of code, you are borrowing speed from your future self. You are creating debt.
Define your architecture first. Then use AI to fill the layers.
Be explicit in your prompts:
- "Write the service layer only. Assume a repository exists. No database queries."
- "Write a repository for this table. Return raw data. No business logic."
AI generates code. Architecture determines if that code survives.
Define your layers. Enforce your boundaries. Then let the AI work.
What is your way of structuring AI code? Share your thoughts below.