Your AI doesn't know your project as well as you think.
AI can write impressive code. But give it a real project with 30 files, dependencies, existing logic, and changes happening across the codebase... Suddenly, "write me some code" isn't enough. The real challenge is con
AI can write impressive code.
But give it a real project with 30 files, dependencies, existing logic, and changes happening across the codebase...
Suddenly, "write me some code" isn't enough.
The real challenge is context.
What depends on what?
What changed?
Which files are connected?
What will break if this file changes?
That's the problem I'm trying to solve with NullCry.
Not another chatbot.
A project-level AI development workflow.
Bring your own API key.
Use the model you want.
Work across your project.
Continue existing work.
Make multi-file changes.
Fix problems across the codebase.
I'm building NullCry independently.
And honestly, I want developers to challenge this idea.
Is project-level AI actually the future?
Or are we overcomplicating something that should stay simple?
β Omar Zahouri
CEO of NullCry
Originally published by Dev.to AI. Aggregated on AIWithGhost for educational purposes β full credit and traffic to the original publisher.