Podcast

Send us a textAI Myths in Software Engineering. AI is colliding with software engineering at full speed — and a lot of myths are emerging along the way.In this episode of Serverless Craic, Dave Anderson, Mark McCann, and Michael O’Reilly unpack how AI, GenAI, and agentic systems intersect with the ideas behind The Value Flywheel Effect. Rather than hype or fear, this is a grounded engineering discussion about quality, responsibility and long-term value.We explore six common myths about AI and software engineering — and why good engineering judgement, domain knowledge, and clarity of purpose matter more than ever.If you care about building sustainable systems, not just shipping demos, this one’s for you.Chapters00:00 – Welcome & contextWhy AI + serverless + the Value Flywheel is colliding right now01:50 – Myth 1: “Software engineering is dead”Why engineering skills are more valuable, not less07:06 – Myth 2: “My skills will become irrelevant”Moving up the value chain, domain expertise, and growth mindset13:40 – Myth 3: “The quality isn’t good enough”Standards, constraints, and why worst it’ll ever be is today18:44 – Myth 4: “The model understands the problem”Pattern matching vs understanding, context, and critical thinking24:20 – Myth 5: “I’ll be forced to use AI”Workflows, guardrails, security, and excessive privileges31:54 – Myth 6: “We’ll need fewer engineers”Jevons Paradox, lowered barriers, and the coming demand explosion34:22 – Closing thoughtsAI, velocity, and the future of sustainable software engineeringKey Themes DiscussedAI as an abstraction layer, not a replacement for engineeringWhy standards, constraints, and operability still matterDomain-Driven Design as AI-amplifying, not obsoleteAgentic systems, skills, prompts, and containmentSecurity risks: excessive privileges & supply-chain concernsVelocity vs sustainability in AI-assisted developmentResources & ReferencesThe Value Flywheel Effect – principles referenced throughoutWardley Mapping & situational awarenessDomain-Driven Design (DDD)OWASP Top 10 for LLMs (excessive privileges, agent risks)Jevons Paradox (efficiency driving increased demand)Early cloud cost & governance parallelsThreat modelling for AI and agentic systemsServerless Craic from The Serverless EdgeCheck out our book The Value Flywheel Effect Follow us on X @ServerlessEdgeFollow us on LinkedIn Subscribe on YouTube