AI coding gains hit a wall: The automation gap slowing delivery

AI adoption in software development is growing, but many organizations struggle to turn productivity gains into faster delivery. A survey shows fragmented toolchains, governance gaps, and under-automated processes create bottlenecks that hinder full use of AI-driven code generation.

While AI is used for coding, testing, and documentation, continuous delivery and governance remain under-automated. Insights include:

· How tool sprawl and poor deployment practices increase risks and costs
· Why only 6% of organizations fully automate CD, causing an "AI velocity paradox"

Read the research to align AI adoption with automation strategies.