Welcome to episode 344 of The Cloud Pod, where the forecast is always cloudy! Justin is out of the office at a World of Warcraft Tournament (not really), and Ryan is pursuing his lifelong dream of becoming a roadie for The Eagles (maybe?), so it’s Jonathan and Matt holding down the fort this week, and they’ve got a ton of cloud news for you! From security to AI assistants, we’ve got all the news you need. Let’s get started!

Titles we almost went with this week* Zero Bus, All Gas, No Kafka Brakes * AI Coding Bot Bites the Hand That Runs It * When Your Robot Developer Goes Rogue on AWS * Kubernetes VPA Finally Stops Evicting Your Database Pods * Google Trains 100 Million People, Still No One Reads the Docs * MCP Walks Into a Bar Not Enterprise Ready Yet * No More Pod Evictions Kubernetes 1.35 Scales In Place * No Keys No Drama Just IAM and Cloud SQL * One Agent to Rule Them All in Kubernetes * IAM Tired of Writing Policies Manually * When Your AI Coding Tool Has Delete Permissions * One Dashboard to Rule All Your GPU Clusters * Serverless Reservations Prove Nothing Is Truly Free Range * Kiro Takes the Wheel on AWS IAM Policies * Stop Blaming Backups for Your Bad Architecture * AI Agent Goes Rogue, Takes AWS Down With It * Everything is Bigger in Texas Except the Water Usage * OpenAI launches the college basketball of Inference. Pro service – low cost

General News 1:05 Code Mode: give agents an entire API in 1,000 tokens

• Cloudflare‘s Code Mode MCP server reduces token consumption by 99.9% compared to a traditional MCP implementation, exposing the entire Cloudflare API (over 2,500 endpoints) through just two tools, search() and execute(), using roughly 1,000 tokens versus 1.17 million for a conventional approach.
• The architecture works by having the AI agent write JavaScript code against a typed OpenAPI spec representation, rather than loading tool definitions into context, with code executing inside a sandboxed V8 isolate (Dynamic Worker) that restricts file system access, environment variables, and external fetches by default.
• This approach addresses a fundamental constraint in agentic AI systems: adding more tools to give agents broader capabilities directly competes with the available context space for the task at hand.

01:41 Jonathan- “It’s good. I’m not sure I could imagine 2 ½ thousand MCP tool definitions in a context window and still actually use it for anything.”

AI Is Going Great – Or How ML Makes Money 03:58 OpenClaw creator Peter Steinberger joins OpenAI

• Peter Steinberger, creator of viral AI assistant OpenClaw (formerly Clawdbot/Moltbot), has joined