Gidwani highlights that co-pilots will require well-documented plans to generate their work, necessitating improved skills from business analysts and product managers. He also emphasizes the importance of proper architecture design for performance, and the potential for co-pilots to assist in UX design and testing. He concludes by noting that the use of co-pilots should result in smoother releases, fewer errors, and more value delivered to businesses in record time.
Key takeaways:
- Co-pilots, or AI assistants, are expected to play a significant role in the future of DevOps, assisting humans in delivering digital transformation to enterprises on time and under budget.
- These AI co-pilots will rely on well-documented plans to generate their work, necessitating improved skills from business analysts and product managers in working with AI to create complete user stories.
- Co-pilots are also expected to impact the build phase of development, with a shift towards finding the best architecture rather than writing lines of code, and the potential for design co-pilots to suggest ways of improving performance.
- AI co-pilots are also anticipated to impact testing, with the potential for a test generation co-pilot to be used by subject matter experts to generate tests from exploratory testing sessions, and a dedicated co-pilot may be needed for compliance.