Introducing Forge

Giving an AI agent access to infrastructure isn't just a technical challenge — it's a trust problem. How do you make sure it acts safely, understands

AI-powered DevOps agents have huge potential: they can automate complex workflows, reduce toil, and scale operations. But when you let an agent touch production infrastructure, mistakes aren't just inconvenient — they're expensive, risky, and highly visible.

That's why trust is at the core of how we're designing Forge.

The Problem with Blind Automation
Today's DevOps stack is already fragile — a patchwork of tools, scripts, and tribal knowledge. Introducing an AI agent can help, but only if it understands what it's doing. That means agents must:

• Explain what they plan to do

• Simulate before they act

• Adapt to context and constraints

• Stay within defined safety rails

In other words: act like a reliable teammate, not an unpredictable bot,

How Forge Approaches It
Forge agents reason before they act. They plan, simulate, and present their intent for review. We've built in safeguards like:

• Human-readable plans

• Dry-run previews

• Policy-aware action limits

• Logs and reversibility by design

We don't remove the human from the loop — we make the loop tighter, safer, and smarter.

What We're Building Toward
The endgame isn't just automation — it's confidence. Forge aims to let teams delegate safely, without losing control. Our agents learn the shape of your systems and workflows so they can make decisions that fit your org — not just generic best practices.

We're early, but focused. If you're thinking about AI-native DevOps, we'd love to talk.

Try Forge in private beta
Follow our progress on the blog