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
- Flow is an AI-powered filmmaking tool custom-designed for Google’s advanced video, image and language models (Veo, Imagen, Gemini). It allows creators to generate cinem...