A fascinating reality I've been discussing with engineering leaders: When building enterprise-grade applications through AI, the output limitations are becoming a critical bottleneck.
When you submit a prompt to blitzy here's the full journey:
• AI first transforms it into a comprehensive PRD
• Then develops detailed technical specifications
• Finally generates a complete code repository (~100,000 lines of code)
The process takes 9-12 hours - and there's a fascinating reason why. While today's AI models can read up to 200,000 tokens, they're limited to outputting only 8,000-16,000 tokens at a time. For enterprise-grade applications, this means we need to work smarter, not faster.
At Blitzy we've turned this constraint into a feature. Submit your specs at the end of your workday, and return to a fully built repository the next morning. No context-switching, no fragmented code snippets - just complete, production-ready code waiting for your review.
Curious to hear from other engineering teams: How are you handling the spec-to-code pipeline in your AI-powered development? What timeframes are you seeing?
Watch the complete video on Blitzy Youtube channel
#EnterpriseAI #SoftwareDevelopment #TechLeadership #Engineering #AIinProduction"
コメント