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The Heroku Experience for the AI Era

Ask a developer who used Heroku what they remember about it and you'll usually get some version of the same answer: you pushed your code and it ran. That feeling is back in the conversation, mostly because AI tools have made building software faster than its ever been. But speed was only half of the Heroku story. The other half, the part teams ran into a year or two later, matters just as much today.

AI wrote the code. Can you prove it followed the rules?

AI agents now write, review and ship code, and our supply-chain security can't tell how that code was made. A green build and a clean scan don't tell you which model or tools the agent used, whether it had your security guidelines, or whether a human actually reviewed the change. In this talk I introduce Agentic Process Evidence, a proposed open community standard. It records the AI development process as structured, signed evidence that is attached to the commit and linked back to the full agent session logs, so release policies can enforce it automatically as policy as code.

Are Open Source Models the Answer to AI Sovereignty? | Civo Navigate London

Open source models are closing in on the frontier. But is running them the same as being sovereign? David Sullivan explains why true sovereignty means owning the whole model lifecycle, and why that's where prototypes stall before production. James Faure shows how distilling small, task-specific models can slash costs. Dr Rosemary Francis argues it's ridiculous to use the most expensive model for every task, and that your harness and engineering process matter more than which model sits at the top of the leaderboard.

Is Trust the UK's Real AI Bottleneck? | Civo Navigate London

Why can't the UK make its own AI chips? David Sullivan argues that the biggest gap isn't chips, compute or electricity. It's trust. If people won't let AI near their finances, the best model in the world goes unused, and that's where the UK has a real chance to lead. Civo makes complexity a thing of the past.

Dave Killeen: What to Do When Execs Demand AI

Dave Killeen will tell you, on record, that his relationship with AI has crossed into unhealthy territory. He also says he has never felt more alive, that he is 50 and feels 30, and that he sometimes waits for his two small children to go to bed so he can start a coding session. In between, he gives Axel Sooriah the most practical answer on this show yet to the question every product team is facing: your exec says "we need AI," and you have no idea what they actually want.

AI Prompts For IT Asset Management: Ready-to-Use Inventory Questions

AI prompts for IT Asset Management (ITAM) are the questions and instructions IT teams type into an AI assistant to get answers from their asset inventory. They're searched by IT asset managers, technicians and IT leaders whose assistant can already read inventory data and who want ready-made questions that return useful answers about devices, owners, warranties and costs.

Cycle MCP 2026.10.14.02: Server Configuration, Shared File Systems, and a Clearer View of Capacity

The first update to the MCP server since launch is out now, and the theme this time is servers. Your AI assistant can now change a server’s host-level settings, set up shared file systems for your containers, and show you what’s running on each machine and how much room is left.

SIGNL4 Update: AI-Powered Event Routing, Alert Analytics, On-Call Coverage & More

This October, SIGNL4 is taking a big leap forward! One of our most comprehensive updates yet introduces AI-powered event routing, powerful new analytics to identify alert hotspots and trends, and instant visibility into on-call coverage gaps. Add smarter team and workflow management, plus enhanced security and compliance features, and there’s plenty to explore!