Ask a generic LLM to “fix my broken deployment,” and you’ll get generic advice. Ask Pulumi Neo the same question, and you’ll get a fix plan grounded in your actual infrastructure state. The difference isn’t about better prompts or newer models. It’s about what the AI actually knows. Generic LLMs have been trained on the internet. Neo has been trained on your infrastructure. This distinction matters more than you’d think. The grounding problem Most AI tools treat infrastructure l...| Pulumi Blog
Neo just got significantly more capable. We’ve shipped three major updates: Operating Modes for flexible control, full ecosystem tool access, and Claude Sonnet 4.5 for better performance on complex infrastructure tasks. You decide how much control you keep The same action has different risks in different contexts. Building a new dev environment is low risk. Opening a PR that changes shared infrastructure requires more scrutiny. Operating Modes let you adjust autonomy based on context: Revie...| Pulumi Blog
Since launching Pulumi Neo two weeks ago, we’ve seen platform teams discover creative ways to put their newest AI teammate to work. We have also been using Neo internally for a handful of use cases. Neo shifts the conversation from “what could AI do for infrastructure?” to “what can I actually accomplish with Neo today?” The answer is quite a bit. Here are 10 concrete workflows that platform teams can use Neo for right now, each one designed to save hours of manual work while keepin...| Pulumi Blog
Pulumi’s Infrastructure as Code has included a powerful policy engine from day one. Over the past year, we’ve been enhancing it significantly to provide stronger governance for modern cloud platforms. Until now, these capabilities were limited to our Business Critical tier. Today, we’re excited to announce that policy guardrails are now available to all Team and Enterprise customers. Alongside this, we’re launching a redesigned policy management experience and introducing out-of-the-b...| Pulumi Blog
AI coding assistants have transformed the speed at which developers can write and deploy code. Pull request velocity has increased significantly. Feature delivery has accelerated beyond what we thought possible just two years ago. This should be a victory for everyone in the software organization. Instead, it’s created significant challenges for infrastructure and platform teams. Every line of code that ships faster creates new platform needs: monitoring, secrets management, deployment pipe...| Pulumi Blog