6 essential rules for unleashing AI on your software development process - and the No. 1 risk

▤ Summary

This article examines how AI is changing Agile software development and the broader software delivery lifecycle. It highlights Digital.ai's latest State of Agile findings, showing that Agile maturity has plateaued while pressure on ROI and governance keeps rising. The piece argues that AI can help with tasks like test generation, backlog analysis, documentation, and delivery visibility, but only if teams start small and put guardrails in place first. It also warns that data exposure, shadow AI, and weak oversight are the biggest risks as organizations bring AI deeper into development workflows.

▦ Linked Companies

XebiaLabs

$100M to $250M