01 / IMPACT
Change impact, made explicit.
Trace directly changed and potentially affected software entities through a deterministic analysis layer, then inspect the relationships visually.
Pull Request Intelligence for Software Maintenance
See the impact before you merge.
PRISM is building a pull request intelligence layer that combines deterministic change-impact analysis with repository history and AI-assisted review — helping engineering teams understand what changed, what may be affected, and where reviewer attention matters most.
impact.graph / pull-request
changed potentially affected
What PRISM is building
Code review with context beyond the diff.
02 / RISK
Prioritize reviewer attention.
Combine impact information with repository-history signals such as churn, bug frequency and co-change patterns to surface higher-risk pull requests.
03 / BEHAVIOR
Understand what may behave differently.
Connect code changes to affected tests and API endpoints, with concise behavioral summaries and software-model views where the analysis supports them.
04 / AI REVIEW
AI grounded in analysis.
Give the review model structured, deterministic context instead of asking it to reason from the diff alone — while keeping the final decision with the reviewer.
Design principle
Deterministic first. AI where it helps.
Analysis layer
Verifiable signals before generated opinions.
PRISM separates deterministic change-impact analysis from AI-assisted interpretation. The system is designed so that structured analysis results remain inspectable even if the AI layer is unavailable or uncertain.
Platform adapters are planned for the code-hosting workflows teams already use, while language-specific analysis components feed a common impact model.
GitHubBitbucketAzure DevOpsMulti-languageCross-repository
PRISM / Coming soon
A clearer view of every change.
We are currently building PRISM and preparing a private preview for engineering teams interested in safer, more explainable pull request review.