Day 2 Operations for AI-Generated Code: What Changes When You Didn't Write It
AI tools are helping teams ship more code, faster. What nobody talks about enough is what happens after that code hits production.
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Every Deployment Platform is Pivoting to AI but Day 2 Operations Aren't Going Anywhere
Over the summer, Fly.io founder Kurt Mackey announced a complete pivot for the company toward "Computers for Agents", which are ephemeral virtual machines (called Sprites) optimized for AI coding workflows. He was refres…
Read more »Observability for AI-Generated Code: Bridging the New Governance Gap
We are witnessing the fastest expansion of the software development lifecycle in history. Generative AI tools have turned every developer into a hyper-productive builder, and in some cases, turned non-technical team memb…
Read more »The Governance Blind Spot: Vendor Lock-In in the AI Development Era
AI tools ship code faster than teams can evaluate platform choices. This makes vendor lock-in a key governance risk. Here is how to regain infrastructure ownership.
Read more »Your Framework Doesn't Have to Be on Our List: How MCP Server Deployment Changes Everything
We've built two analysis engines to figure out how to deploy an unfamiliar codebase, and both lost ground to new frameworks and package managers over time. Our MCP server deployment tool changes that. It lets an AI assistant analyze your repo directly, instead of us maintaining a detector for every framework.
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