AI-generated code cannot be deployed to production without manual engineering work

Development teams using AI coding assistants generate functional code quickly, but face a critical bottleneck: converting that generated code into production-ready applications requires extensive manual integration, testing, and deployment work. Current AI tools excel at code generation but fail at the end-to-end deployment pipeline, forcing engineers to spend weeks on non-coding tasks after AI completes the initial development phase. This creates a gap between AI capability and business value delivery.