The Glue Problem in Modern AI Development

The Glue Problem in Modern AI Development Key Takeaways The Real Problem Is Fragmentation What This Means for Developers The Hidden Cost of Glue Code What the Ideal AI Cloud Should Actually Do Reframing the Problem with DigitalOcean Building the Demo for Cost Analysis Conclusion About the author Try DigitalOcean for free Related Articles NVIDIA GTC 2026 Confirmed It: The Inference Era Is Here Meet the New Standard for High-Performance, Low-Cost Inference: NVIDIA Dynamo 1.0 is now available to DigitalOcean Customers Expanding our Agentic Inference Cloud: Introducing GPU Droplets Powered by AMD Instinct™ MI350X GPUs By James Skelton AI/ML Technical Content Strategist Updated: April 2, 2026 10 min read AI is now central to modern software development. Teams across industries are turning to AI to solve product and workflow problems in software. But building production systems is still complex. The hardest part of deploying AI isn’t the model, it’s everything around it. That complexity becomes a glue-code problem when storage, compute, orchestration, networking, authentication, and inference live in separate systems with different operating models. The more seams a workflow crosses, the more developer effort shifts from building product logic to wiring services together. A more integrated platform model reduces that burden. This article examines what it takes to deploy and operate AI applications in today’s cloud landscape. Using two examples, we will compare the process in two landscapes: a neocloud combined with a hyperscaler versus a vertically integrated cloud stack. While surface-level costs may look similar, the integrated model offers clear advantages in efficiency by reducing the time developers spend writing glue code and managing the problems that emerge as AI products scale. The biggest cost in AI systems isn’t infrastructure: it’s integration. Fragmented, multi-provider stacks force developers to spend time writing and maintaining glue code instead of building product features, turning engineering effort into the real cost center.