๐๐ ๐ฆ๐ต๐ถ๐ฝ๐ ๐ฌ๐ผ๐๐ฟ ๐๐ผ๐ฑ๐ฒ ๐ถ๐ป ๐ ๐ถ๐ป๐๐๐ฒ๐. ๐ฌ๐ผ๐๐ฟ ๐ง๐ฒ๐ฎ๐บ ๐ฃ๐ฎ๐๐ ๐ณ๐ผ๐ฟ ๐๐ ๐ณ๐ผ๐ฟ ๐ ๐ผ๐ป๐๐ต๐.
AI writes code fast. That is the problem.
Speed is not the enemy. Unmaintainable speed is.
AI assistants can build a working endpoint in minutes. They cannot build code you can safely touch six months later.
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 everything into one function. It mixes HTTP handling, raw SQL, business rules, and responses. This is tight coupling. It is a time bomb.
Think of a restaurant. If one waiter takes orders, cooks food, washes dishes, and manages inventory, the system breaks as you add customers.
A good kitchen has clear roles. The waiter handles the table. The chef runs the kitchen. The pantry staff manages ingredients. Each person has a boundary.
Layered architecture works the same way.
The Controller Its only job is HTTP. It receives a request, calls a service, and returns a response. It does not write SQL or check business rules. It is a translator.
The Service Layer This is where business logic lives. It handles pricing, credit checks, and workflows. It does not know what HTTP is. It only knows how the business should behave.
The Repository Layer This layer owns data access. It handles SQL queries and database logic. It does not care if an order is approved. It only knows how to store and retrieve data.
Loose coupling gives you three things:
- Testing: You can test logic without a database.
- Refactoring: You can change your database without touching business logic.
- Onboarding: New engineers can understand one part of the system at a time.
AI tools optimize for the shortest path to a result. They produce code that works for a demo but fails in production.
Do not let AI dictate your structure. Define the architecture first, then use AI to fill the layers.
Use explicit prompts:
- "Generate the service layer only. Do not include database queries or HTTP handling."
- "Write a repository for the orders table. Return raw data only."
AI generates code. Architecture determines if that code survives.
Speed without structure is just debt.
What is your approach to structuring AI-generated code?
Optional learning community: https://t.me/GyaanSetuAi