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AI, DevOps and Serverless: In this episode, Dave Anderson, Mark McCann, and Michael O’Reilly dive deep into The Value Flywheel Effect (Chapter 14) — discussing frictionless developer experience, sense checking, feedback culture, AI in software engineering, DevOps, platform engineering, and marginal gain. We explore how AI and LLMs are shaping engineering practices, the importance of psychological safety, continuous improvement, and why code is always a liability. If you’re interested in serverless, DevOps, or building resilient modern software teams, this conversation is packed with insights. Chapters 00:00 – Introduction & Belfast heatwave 🌞 00:18 – Revisiting The Value Flywheel Effect (Chapter 14) 01:11 – Sense checking & psychological safety in teams 02:37 – Leadership, listening, and feedback loops 04:12 – RFCs, well-architected reviews & threat modelling 05:14 – Trusting AI feedback vs human feedback 07:59 – Documenting engineering standards for AI 09:33 – Human in the loop & cadence of reviews 11:42 – Traceability, accountability & marginal gains 13:56 – Scaling teams & expanding the “full stack” 14:29 – Infrastructure as code, DevOps origins & AI parallels 17:13 – Deployment pipelines & frictionless production 18:01 – Platform engineering & hardened building blocks 19:40 – Code as liability & avoiding bloat 20:20 – Well-architected standards & AI context 21:32 – Shifting security left & automated governance 22:33 – Isolation, zero trust & resilience 23:18 – Platforms as standards & consolidation 25:23 – Less code, better docs, and evolving patterns 27:06 – Avoiding command & control in engineering culture 28:22 – Empowerment, enabling environments & AI’s role 28:50 – Developer experience & future of AI in software Serverless Craic from The Serverless Edge: https://theserverlessedge.com/ Follow us on X @ServerlessEdge: / serverlessedge Follow us on LinkedIn - The ServerlessEdge: / 71264379 Subscribe to our Podcast: https://open.spotify.com/show/5LvFait...