I keep seeing developers argue about which AI model is better.
GPT.
Claude.
Gemini.
DeepSeek.
Grok.
But I think we're asking the wrong question.
The model matters.
The workflow matters more.
If you have to constantly copy code between files, explain the same project context again, manually fix broken dependencies, and rebuild your project piece by piece...
A smarter model doesn't completely solve the problem.
That's why I built NullCry.
The idea is simple:
Give developers a way to work with AI at the project level.
Multiple files.
Existing projects.
Cross-file changes.
Continuations.
Fixes.
Complete project generation.
And developers can bring their own API key instead of being locked into another subscription ecosystem.
I'm not saying NullCry has solved AI development.
I'm saying the current workflow deserves to be challenged.
Agree or disagree?
Tell me why.
— Omar Zahouri, CEO of NullCry
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