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305: AWS Breaks Up with Unpopular Services – “It’s Not You, It’s Me”


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Welcome to episode 305 of The Cloud Pod – where the forecast is always cloudy! How did you do on your Microsoft Build Predictions? As badly as us? Plus we’ve got news on AWS service changes, a lifecycle catch up page for all those services that bought the farm, tons of Gemini news (seriously, like a lot) and even some AI for .NET. 

Welcome to the cloud pod- and thanks for joining us! 

Titles we almost went with this week:
  • Google’s Jules: An AI Gem for Cloud Devs  
  • Autonomous Agents of Code: Jules’ Excellent Adventure in the Google Cloud
  • Gemini 2.5 Shoots for the Stars with Cosmic-Sized AI Upgrades
  • Resistance is Futile: OpenAI Assimilates Your Codebase 
  • AWS Transformers: Rise of the Agentic AI 
  • Teaching an old .NET dog new Linux tricks
  • CodeBuild Puts Docker Builds in Hyperdrive
  • Inspector Gadget’s New Trick: Mapping Container Vulnerabilities
  • Yo Dawg, I Heard You Like Scanning Containers…
  • Google Cranks AI to 11 with New Ultra Plan
  • I, For One, Welcome Our New AI Ultra Overlords
  • The Inference Engine That Could: llm-d Chugs Ahead with Kubernetes-Native 
  •       Scaling
  • Scaling Inference to Infinity and Beyond with Google Cloud’s llm-d
  • Google Cloud and Spring AI: A Match Made in Java-n
  • The Fast and the Serverless: Cloud Run Drifts into AI Studio Territory
  • SQL Server 2025: A Vector Victor, Not a Scalar Failure
  • AI will solve my life problems of having money in my pocket
  • I used to scan all the containers but now I will just scan yours
  • AI Is Going Great – or How ML Makes Money 

    01:50 Jules: Google’s autonomous AI coding agent

    • Jules is an autonomous AI agent that can read code, understand intent, and make code changes on its own. 
    • It goes beyond AI coding assistants to operate independently.
    • It clones code into a secure Google Cloud VM, allowing it to understand the full context of a project. This enables it to write tests, build features, fix bugs, and more.
    • Jules operates asynchronously in the background, presenting its plan and reasoning when complete. This allows developers to focus on other tasks while it works.
    • Integration with GitHub enables Jules to work directly in existing workflows without extra setup or context switching. Developers can steer and give feedback throughout the process.
    • For cloud developers, Jules demonstrates the rapid advancement of AI for coding moving from prototype to product. Its cloud-based parallel execution enables efficient handling of complex, multi-file changes.
    • While in public beta, Jules is free with some usage limits. This allows developers to experiment with this cutting-edge AI coding agent and understand its potential to accelerate development on Google Cloud.
    • 02:56 Ryan – “More and more, as new tools get released, it’s just going to change the way anything gets written… it’s getting more and more capable.” 

      05:45 Introducing Flow: Google’s AI filmmaking tool designed for Veo

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        tcp.fmBy Justin Brodley, Jonathan Baker, Ryan Lucas and Matt Kohn