Is your Kubernetes stack bloated, slow, and hard to explain? Steve Wade shares simple checks—the hiring treadmill, onboarding time, and the acronym test—to spot platform theater fast. What would a 30-day deletion sprint cut, save, and secure?
We bring Paul Stack back to cover the parts we skipped last time. What changed when the models got better and we moved from one-shot Gen AI to agentic, human-in-the-loop work? How do plan mode and tight prompts stop AI from going rogue? Want to hear how six branches, git worktrees, and a TypeScript CLI came together?
Andrey and Mattias share a fast re:Invent roundup focused on AWS security. What do VPC Encryption Controls, post-quantum TLS, and org-level S3 block public access change for you? Which features should you switch on now, like ECR image signing, JWT checks at ALB, and air-gapped AWS Backup? Want simple wins you can use today?
What can you automate with SWAMP today, from AWS to a Proxmox home lab? How do skills, scripts, and reusable workflows plug into your stack? Could this be your agent’s missing guardrails?
We kick off with a CVSS 10 in n8n, then look at self-hosted AI assistants with weak defaults and prompt injection risks. Are your API keys, inbox, and drives safe if a bot is open to the web? What should you rotate, patch, and hide behind a VPN?
Are devs ignoring AI, misusing it, or getting real value? What happens when agents touch your env vars, repos, and pipelines? How do you share prompts, set team defaults, and keep trust? Could an AI engineer role lead culture as well as tools?
We get into K8s vs native orchestrators. Do you still need Kubernetes when managed services cover most needs? How do cost, lock-in, and team skills change the choice? Expect a heated debate.
Which parts of AI Act, NIS2, DORA, and DSA overlap so you can cover more with less? What basics raise your baseline fast: central logs, backups, risk assessments, and human-in-the-loop governance? Could a simple mailing list make incident comms painless?
Want a quick map of EU compliance for engineers? How do you classify AI by risk and tell users when AI is used? When do you send a 24-hour heads-up and a one-month report after an incident? Does NIS2 make your board liable and your logs mandatory?
Is MCP just another server you need to threat model, patch, and monitor? How do you keep users from over-privileged access, block LLM injection, and stop blind spots? We unpack the VentureBeat article - MCP stacks have a 92% exploit probability: How 10 plugins became enterprise security’s biggest blind spot