Frontier teams are not just using AI to code faster. They’re redesigning how software gets built. The result is 4.5x productivity gains, in some cases more than 10x.
Six engineers. Seventy-six days. A project scoped for 30 developers over 12 to 18 months, delivered within a quarter. That is not hypothetical. It’s what happened when an Amazon Bedrock team stopped treating AI as a coding shortcut and started treating it as the foundation of how they work. The team shipped more production code in five months than in the previous ten years.
The gap between teams like this and everyone else is widening fast. AI coding agents have fundamentally changed the rate at which software gets written, but not the rate at which it reaches customers. Commits are surging, and CI/CD pipelines are busier than ever. Yet, features shipped to production have not kept the same pace. The bottleneck is not the agent’s ability to generate output. It is the agent’s access to the…