
How Building AI Agents Has Changed in 2026
A year ago, building an AI agent meant frameworks, RAG, and glue code. The Claude Agent SDK, Codex SDK, and skills replaced most of that middle layer.
Engin Diri
8 min readPage 3 of 8

A year ago, building an AI agent meant frameworks, RAG, and glue code. The Claude Agent SDK, Codex SDK, and skills replaced most of that middle layer.
Engin Diri
8 min read
What the dark factory pattern looks like when the factory floor is your Pulumi state graph, and where to start without burning down a prod account.
Engin Diri
9 min read
Developers are shipping AI agents to production. Your Pulumi platform already supplies the seven things those agents need to be governed.
Engin Diri
11 min read
Three frameworks for AI coding agents compared: Superpowers enforces TDD, GSD prevents context rot, and GSTACK adds role-based governance.
Engin Diri
10 min read
Use the new `pulumi policy analyze` command to run local policy packs against existing stack state, with workflows for developers and AI agents.
Fraser Waters
3 min read
Recap of KubeCon EU 2026 in Amsterdam: AI in production on Kubernetes, agentic AI identity, inference routing, and platform engineering.
Engin Diri
9 min read
Neo's Plan Mode lets you collaborate on a detailed plan before execution begins, with thorough discovery, conversational refinement, and explicit approval.
Pulumi Neo Team
2 min read
Run Neo with confidence using read-only mode. Preview changes and create PRs without unwanted modifications to your infrastructure.
Florian Stadler
2 min read
How I built a modular AI workflow system to scale a solo docs practice — treating prompts like code, with reusable skills, shared context, and CI/CD.
Cam Soper
10 min read
We benchmarked Terraform HCL and Pulumi TypeScript across two LLMs. HCL uses fewer tokens, but Pulumi's total pipeline cost is 41% lower.
Engin Diri
10 min readPage 3 of 8