What does it actually take for AI to ship real software?
AI can autocomplete code, generate boilerplate, and spin up templates, but building for production is a different game. Real-world software demands context, continuity, and the ability to evolve with your codebase over time.
With our latest GoCodeo release, we’re pushing beyond prompts. You can now generate full-stack, production-ready apps directly from product specs, all inside your IDE. No prompt engineering. No context-switching. Just structured, real-world code that fits your stack.
As we gear up for our launch, we’d love to hear from you:
What’s the biggest gap AI still needs to fill in your dev workflow?
What makes an AI tool feel trustworthy in real projects?
How should AI handle the complexity of legacy code and team collaboration?
We’d love to hear your thoughts, and we’re just days away from launch. Stay tuned!
Replies
IXORD
I'm trying not to rely on AI when writing code. I prefer to focus more on the structure myself. There are times when the architecture isn't too complex and it makes sense to use a prompt to generate a small piece of code, but when I tested this approach, I didn’t really enjoy the process