Git merges text, but it doesn't understand what the code does. When multiple agents push changes at the same time, they create invisible breaks that standard CI tools miss. Rosentic catches them before they hit production.
Agent-neutral. Platform-neutral. Drop it between your coding tools and your repos. Every PR gets checked before it touches main.
Every tool in your pipeline checks one thing. None of them check whether all the outputs are compatible with each other.
CI runs tests on Branch A. Tests pass. Runs tests on Branch B. Tests pass. But A and B together break production — because CI never checks one branch against another.
Human reviewers and AI review tools (Claude Code Review, Copilot Review) look at each PR in isolation. They can't see that another agent changed the function your PR depends on.
Sourcegraph indexes 54B lines and helps agents understand code. But understanding the codebase and verifying that new changes are compatible are two different problems.
Rosentic is the missing step. Cross-branch. Cross-agent. Cross-language. Before it hits main.
AI agents are already breaking production. The question isn't if you need output verification. It's when.
The outages were small but entirely foreseeable. — Senior AWS Engineer, Financial Times
Pay for what you use. More agents means more branches. Your tier scales automatically as your team adopts AI coding tools.
Three deployment models. All of them keep your source code where it belongs — with you.
Engine runs on GitHub's ephemeral runners. Scans, posts the PR comment, runner destroyed. No server on our side. Your code never touches our infrastructure.
Only conflict metadata is transmitted — function names, file paths, compatibility results. Source code is never stored on our servers. You see the graph, we don't see your code.
Same Docker stack deployed inside your own AWS, Azure, or GCP. Air-gapped. Self-hosted. Nothing leaves your network. Ever.
Your agents are already writing code. Make sure they aren't breaking each other's work.