How AI & DevOps Have Changed the Way We Create Products
summary
Live demo builds a small week number web app using VS Code AI assistance, GitHub pushes, CI/CD previews and Atlassian for requirements. AI generates getWeekNumber code and unit tests, deploys branch previews, and most checks pass, but an edge case fails: 15 Sep 2024 expects week 37 and AI returns 38. The demo shows AI speeds coding and test generation yet misses calendar rules, proving the need for a DevOps safety net and real‑time metrics + consolidated tooling to catch subtle bugs.
AI-written summary · about
chapters (14)
- 0:00Introduction to AI and DevOps
- 1:28Five key trends for organizations
- 2:30Consolidation of tools
- 3:11DevOps safety net
- 3:56AI-driven development
- 4:37Service management integration
- 4:59AI development assistance
- 7:09AI for quality assurance
- 9:00AI for code understanding
- 10:25AI for requirements management
- 11:29Modern development workflow
- 15:51Demo recap and challenges
- 16:11AI limitations and safety nets
- 18:20Balancing AI and organizational processes
related talks
01h 02mSkills for the age of AI developer tools
39mDevOps in the Age of AI: Human Powered Evolution
54mUnleash the Future: AI, DevOps, and the New Era of Software Delivery
38mWriting code live with AI
15mAI's Impact on Development, Post-Production & Support Journeys
49mKeynote: Operations and AI with Jen Krieger
38mGenerative DevOps
24mDevelopers and AI Enemy or Frenemy Leveraging AI and Atlassian to empower developers