Measuring AI impact, assessing readiness, and new data trends

About this episode

The episode discusses the impact of AI on the software development lifecycle and the importance of developer experience in achieving AI readiness.

In this episode of Engineering Enablement , Jesse Adametz joins Abi Noda, this time to host. Together, they explore how AI is showing up across the SDLC, not just in code generation, and how it is shifting bottlenecks across the development process. They unpack what “AI readiness” actually means in practice, and why it often comes down to developer experience fundamentals like documentation, environments, and feedback loops. They also discuss why enablement matters more than tool choice, how teams are thinking about measuring ROI, and what changes as background agents become more common. Finally, they explore how the role of the engineer may evolve, the open questions teams are still grappling with, and the challenges of non-engineers contributing to codebases. Where to find Jesse Adametz: • LinkedIn: https://www.linkedin.com/in/jesseadametz • X: https://x.com/jesseadametz • Website: https://www.jesseadametz.com/ Where to find Abi Noda: • LinkedIn: https://www.linkedin.com/in/abinoda In this episode, we cover: (00:00) Intro (02:12) Where AI is showing up across the SDLC (05:53) AI readiness and its link to developer experience (08:23) Why enablement, education, and…

People in this episode

Host: Abi Noda

Guest: Jesse Adametz

Topics covered

• AI in SDLC
• AI readiness
• developer experience
• enablement
• measuring ROI
• engineer role evolution

Keywords

• AI impact
• SDLC
• developer experience
• enablement
• measuring ROI
• background agents
• engineering challenges

Mentioned in this episode

Organizations: LinkedIn, jesseadametz.com

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