Prompt guardrails fail right when coding agents get dangerous. How Docker Sandboxes make YOLO mode safe, plus a ready-made kit for infrastructure work.
Engin Diri
11 min readHow to provision and govern Kubernetes infrastructure for AI agents with Pulumi, in TypeScript and Python, and where kagent, KServe, Kueue, and Neo fit in.
Joe Duffy
Set monthly organization or per-member Pulumi Neo dollar limits and get alerts via email.
John Keiser
Google's Open Knowledge Format: a one-page spec for the LLM wiki. Markdown, one required field, git. Why knowledge as code is your agent loop's missing layer.
Engin Diri
Deploy a self-hosted Hermes agent as one Pulumi program across Render, Modal, and Tailscale — a code-executing AI agent with nothing on the public internet.
Engin Diri
Neo code reviews analyze pull requests against what Pulumi Cloud knows about your running infrastructure and leave feedback right in the PR.
Pulumi Neo Team
The unit of work moved from the prompt to the loop. The five pieces of loop engineering, the memory that makes it compound, and what it won't do for you.
Engin Diri
AI coding has two shapes: 2x is mostly prompting, 10x is mostly plumbing. The parallel coding playbook, translated to Pulumi.
Engin Diri
In a large codebase, the model is the smaller variable. The harness around it does the work: CLAUDE.md, hooks, skills, LSP, MCP, subagents.
Engin Diri
The new pulumi do command lets you create, read, update, and delete any cloud resource across the full Pulumi ecosystem with a single, agent-friendly API.
4 authors
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