Stop AI Slop From Ruining Your Codebase | Ep 26

In this episode AWS Community Peter break down a holistic framework for AI adoption. Discover why top-down AI mandates fail, how engineering and product teams must adapt their specifications, and why standard ROI metrics are measuring the wrong things.If your team is trying to figure out how to successfully roll out agentic AI workflows without sacrificing software reliability, this conversation is a must-watch.**What You'll Learn in This Episode:*** Why AI adoption is a holistic culture and process transformation, not just a tooling problem* Practical guardrails and linting rules to prevent AI-generated "code slop"* The real truth about measuring AI ROI and developer productivity metrics* The single biggest change engineering leaders should make on Monday morning**Episode Timestamps:*** **00:00** – Introduction: Meet Peter and the Agentic AI Execution Podcast* **01:10** – The People, Process, and Technology Framework for AI Adoption* **05:30** – Best Practices for Deploying Quality AI Agents* **08:40** – How to Prevent AI Slop and Handle Tech Debt* **13:00** – Measuring True AI Return on Investment (ROI)* **16:00** – Production-Ready Agentic AI: Startups vs. Enterprise Realities* **17:50** – One Thing Engineering Leaders Must Change This Monday Morning* **18:52** – Key Takeaways and Final Thoughts🔗 Links:Connect with Peter: https://www.linkedin.com/in/petersankauskas/ Connect with Leena: https://www.linkedin.com/in/leenaagarwal/