How AI-Created Code Will Strain Devops Workflows (19:16)
DevOps.com, Thursday, August 21st, 2025
Nick Durkin, Field CTO at Harness, explains why as artificial intelligence (AI) tools are relied on more to create code, it's now only a matter of time before bottlenecks in existing DevOps workflows become exacerbated to the point where they need to be re-engineered.
Durkin noted that while AI is generating more code, organizations are not necessarily moving faster. In fact, industry reports show a slight slowdown, along with an uptick in bugs. The challenge, he said, lies in making it easier for engineers to do the right thing while putting guardrails in place to prevent errors, regardless of whether the code was written by a developer or an AI.
One issue is the proliferation of pipelines. In the past, teams often created a separate pipeline for every application, leading to thousands of variations that were difficult to manage. Durkin argued for a template-driven approach, where reusable pipelines with built-in policies make failures visible early and allow fixes to be made quickly - more like a video game that encourages iteration than a static approval process.