GitHub Copilot writes the boilerplate. ChatGPT handles the migrations. Your IDE suggests the refactor before you finish typing.

Seventy-seven percent of developers now delegate code to AI. Not the interesting problems. The tedious ones. The debugging at 2 AM. The test coverage nobody wants to write. The documentation that should have shipped last sprint.

We've built a factory method for building factories.

The pattern is elegant: You define the interface, the AI generates the concrete implementation. You describe what the function should do, something else writes how it does it. The assembly line hums. Pull requests multiply. Velocity increases.

But the factory method was always about distance. It decouples creation from creator. The client doesn't need to know how the object gets made, just that it arrives on spec.

The developers at Angen.ai call their agents "Droids." They automate "tasks that developers don't want to do—testing, debugging, refactoring, migrations, all that ugly stuff." Fair enough. Nobody dreams of writing migration scripts.

But programming used to mean understanding the whole system. The ugly stuff taught you where the dependencies hide. Where the performance bottlenecks live. Why that seemingly simple change breaks everything.

The factory is efficient. It never gets tired or bored. It scales beautifully.