AI accelerates, but every change has a blast radius. We show teams what every PR touches. What’s at risk. What broke and why. For developers, leads, and the people waiting on that deploy.
Early access. No spam.
Code review checks if the code is right. We check what it actually affects — before it ships, not after it breaks.
Every PR gets checked against a live model of your system. Not just the diff — the dependencies, the consumers, the docs that reference the code you changed. Impact analysis, not just code review.
Trace from incident to the PR, the commit, and the line that caused it. Not just what happened — why it happened, through the dependency chain. Seconds, not hours of git blame.
We index your repos continuously — functions, dependencies, architecture, docs — into a persistent model that gets smarter over time. Query it in plain language, or plug it directly into your AI tools via MCP.
Contributors break things. AI agents break things faster. Superpositional gives both the context they need while they code and before they merge. No more “I didn’t know that touched X.”
Cross-repo dependency visibility. Standards drift detection. Hard numbers on whether your architecture is holding up or quietly falling apart.
Release readiness. Risk exposure. Architecture health. Incident root cause. In plain English, no code, no “let me check with the team.”
Plug in your repositories. We build the model. You get the answers.
We parse your code, commits, and docs — down to function-level structure.
A live model of your system — entities, dependencies, architecture — always up to date.
PR impact analysis, incident tracing, architecture queries, and AI context — surfaced where your team works.
We’re in early access. Leave your email — we’ll let you know when there’s a spot.