11 June 2025
There's a subtle but critical difference between automation and autonomy. Most DevOps tooling is built to follow instructions — scripts, runbooks,
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