WE JUST RELEASED IN PRODUCT HUNT!
Right now, there are only two common approaches to branch protection.
For years, DevOps protection relied on these rigid, static rules. YAML configs, hardcoded scripts, forms, and CI workflows enforced guardrails, but they couldn’t keep up with today’s fast, multi-repo SaaS environments. But what if your team deploys hundreds of times per week? These outdated protections leave critical gaps, blind to urgency, team structure, or operational context.
The result? Workarounds, skipped checks, and rules drifting out of sync.
At Warestack, we believe DevOps needs to evolve. That’s where Agentic DevOps comes in. Instead of static rules, agentic governance brings adaptive, AI-driven protection that reacts in real time to developer roles, urgency, and live activity. Think of it as a process checker for your pipeline — watching every event, flagging unsafe operations, and blocking risky merges before they hit production.
We put this approach to the test.
In an experiment with 100 pull requests across major open-source repos like VSCode, React, Terraform, PyTorch, and Kubernetes, agentic governance uncovered up to 8× more violations than traditional methods, with coverage rates as high as 95%. It caught issues static rules missed — vague PR descriptions, review gaps, or unapproved changes to sensitive code paths — all while adapting across teams and repo structures without hardcoding.
What is a Agentic DevOps?
A way to define the boundaries of how your team should operate, specifying what’s allowed, what’s enforced, and where flexibility is permitted.
The impact is clear.
With Warestack, you can write protection rules in plain English, monitor every operation in a single dashboard, and generate audit-ready reports instantly. What once took hours of manual configuration now takes seconds. And with one-click integrations for tools like Slack and Linear, enforcement extends seamlessly into your daily workflows.
The future of DevOps isn’t static; it’s adaptive. Agentic DevOps ensures your pipelines are accessible, context-aware, and secure — protecting critical releases without slowing teams down. We’ve shared our full findings, lessons learned, and open-source contribution in the newly released white paper.
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