Does the "Agile to DevOps" pipeline need a total overhaul for the AI-driven era?

All answers to this question.

This is the "Velocity Gap" problem. DevOps is evolving into "Continuous Resilience." When you are pushing code that fast, manual peer reviews become impossible. You have to evolve into automated testing suites that use machine learning to predict which changes are most likely to cause a regression. The "bigger thing" here is shifting from "Continuous Integration" to "Continuous Intelligence." Your pipeline needs to be smart enough to understand the intent of the code changes and adjust the testing rigor accordingly. It's a fascinating time to be in the space!

   Answered 2025-01-28 by Amanda Potter

Are your Scrum Masters struggling to keep up with the technical debt that usually accumulates when you're moving at "AI speed"?

   Answered 2025-02-05 by Samuel Boyd

• Samuel, yes! The debt is piling up faster than we can track it in Jira. We’ve had to start "Refactor Sprints" every month just to breathe. The evolution I see is AI actually helping to manage that debt—tools that can auto-suggest refactors or document the code as it's written. We are trying to turn the "bottleneck" into a "filter" that only lets high-quality, secure code through to the production stage.

     Commented 2025-02-10 by Douglas Mason

It’s all about "Value Stream Management" now. We need to look at the whole business value, not just the technical deployment steps.

   Answered 2025-02-15 by Larry Higgins

• Larry is right. If we deploy 10 times a day but the customers don't find value in those features, the speed is just a vanity metric.

     Commented 2025-02-20 by Amanda Potter