ShipCheck
ShipCheck is a GitHub-native pre-merge review tool that gives repositories persistent memory of important software behavior. It analyzes pull requests against safeguards, contracts, assumptions, tests, and historical behavior to catch regressions and unintended behavior changes before code is merged or shipped.
At a Glance
- Individual software developers
- Power users maintaining multiple active projects
- Development teams
- Organizations with GitHub repositories
- +2 more
AI Tools by ShipCheck
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ShipCheck
GitHub PR Behavior Regression Checker
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Products & Services
GitHub-native pre-merge review platform that evaluates pull requests against repository behavior, safeguards, contracts, tests, and history. It combines deterministic verification with repository-aware AI and can produce verdicts, findings, suggested fixes, and regression tests. The product was in beta as of August 2026.
Finds important existing behavior in implementation code, tests, authorization logic, validation, callers, schemas, error handling, and safeguards.
Persistent expectations that future pull requests can be checked against, with supporting evidence and lifecycle outcomes.
Explains meaningful pull-request changes as preserved, intentionally changed, violated, restored, or newly introduced behavior rather than only listing changed lines.
Market Position
ShipCheck positions itself as behavioral memory and a verification layer rather than a conventional AI code-review comment generator. Against tools such as CodeRabbit and Greptile, it emphasizes first-class Behavior Guards, explicit behavior lifecycles, historical origin, deterministic verification, and retaining known invariants across pull requests; the product is designed to sit on top of an existing GitHub workflow and whichever person or coding agent produced the change.
Leadership
Founders
Sarvajith Karun
Software engineer and full-stack/product developer; founder of Nexify Designs, a web-development studio. His background also includes Roblox systems engineering for multiplayer games, a UI-development internship at AxaBlock, and a B.S. in Computer Sciences and Mathematics at the University of Wisconsin–Madison (2026–2030). His personal portfolio identifies ShipCheck as a 2026 project he built.
Executive Team
Sarvajith Karun
Creator and developer
Full-stack/product engineer and founder of Nexify Designs. His portfolio describes ShipCheck as a project combining deterministic analysis with repository-aware AI; his broader experience includes production web applications, Roblox backend systems, and mobile UI development.
Founding Story
ShipCheck was created around the problem that ordinary code review and AI review can understand a diff without remembering what the repository already depended on. Its initial vision is to preserve important behavior as durable repository memory—such as authorization checks, validation rules, contracts, and safeguards—so future pull requests can be checked for regressions rather than rediscovering the same expectations each time.
Business Model
Revenue Model
Freemium SaaS subscription model for individual developers and development teams. The core behavioral-memory workflow is free during beta, while paid plans expand repository capacity, history, analysis usage, collaboration, and verification priority.
Pricing Tiers
Expanded beta limits; no credit card required; 3 repositories, 30-day behavior and scan history, 30 behavioral AI analyses per month, and 10 regression tests per month.
For individual developers; 5 repositories, 90-day history, 100 behavioral AI analyses per month, 25 regression tests per month, full repository-aware analysis, and faster verification priority. Listed as coming soon.
For power users; unlimited repositories, one-year history, 500 behavioral AI analyses per month, 100 regression tests per month, deeper context, and highest individual priority. Listed as coming soon.
Three-seat minimum ($60/month minimum); shared behavioral memory, organization policies, unlimited repositories, pooled usage, roles, permissions, central billing, analytics, and highest verification priority. Listed as coming soon.
Target Markets
- Individual software developers
- Power users maintaining multiple active projects
- Development teams
- Organizations with GitHub repositories
- Teams using AI coding tools and wanting an independent verification layer
- Software projects where security, reliability, contracts, validation, and regression protection matter
- Catching regressions introduced by AI-generated or agent-generated code
- Detecting removed authorization checks and weakened security safeguards
- Preserving validation rules, API contracts, business rules, and error-handling behavior
- Finding test and regression-coverage gaps
- Reviewing pull requests with repository history and cross-file context
- Generating focused fixes and regression tests before merge