One thing I’ve learned after building multiple AI-assisted projects:
The hardest part of AI coding is not generating code.
It’s keeping the AI aligned with the project as complexity grows.
At the beginning:
everything feels fast
fixes work instantly
architecture stays simple
Then the project grows.
Suddenly you have:
shared state
duplicated logic
API dependencies
long conversations
multiple refactors
And this is where AI tools begin behaving very differently.
Some tools are amazing for:
scaffolding
UI generation
rapid experimentation
Others become more useful for:
multi-file editing
cleanup
consistency checking
Personally, I now use:
Windsurf for rapid building
Codex for deeper cleanup
ChatGPT / Claude for reasoning
This workflow already helped me build:
automation systems
AI content workflows
AI-assisted apps
and a trading bot project
The biggest bottleneck is no longer typing speed.
It’s context management.
What’s your opinion?
Leave your thoughts in the comments below 👇
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