AI pushes code faster, but into a bottleneck of risks - Developer Tech News

Developer-Tech explores how AI-powered coding tools are creating a dangerous bottleneck in software development, based on research from Harness. While AI coding assistants help teams ship code 63% faster, this acceleration is pushing higher volumes of potentially problematic code into under-automated testing, security, and deployment pipelines that struggle to keep up.

• The AI Velocity Paradox: Organizations gain speed in code creation but lose overall velocity due to downstream bottlenecks, with 45% of AI-generated code deployments causing problems
• Critical automation gaps: While coding workflows are 51% automated, continuous delivery processes remain only 6% fully automated, creating dangerous imbalances
• Rising security and cost concerns: 72% of organizations have experienced production incidents from AI-generated code, while 70% worry about spiraling cloud costs from inefficient AI-created applications
• Path to success: Companies must extend AI automation beyond coding into testing, security scanning, and deployment verification to become "Velocity Leaders" who achieve both speed and safety