ContextQA

Ship is an autonomous QA agent from ContextQA that sits between a team's code pipeline and its bug tracker, aimed at startup and mid-sized product teams that have adopted coding agents like Claude and Codex but still lack dedicated test coverage. It analyzes each PR, understands its blast radius, identifies what needs testing, and runs the right regressions before merge , then, when a bug lands in Linear, Jira, Slack, or your service desk, Ship reproduces it, captures evidence, and investigates the likely root cause . The launch matters now because engineering teams are merging AI-written code faster than human QA can validate it, and Ship is designed to close that gap by handing the fix context straight back to the coding agent. Beyond pre-merge checks, Ship analyzes real user sessions for anomalies, reproduces suspicious behavior, and turns what it learns into permanent regression coverage , so the test suite grows from production signals rather than hand-written plans. It plugs into the tools engineering teams already use, keeping developers in GitHub, bugs in Linear, and conversations in Slack, and routes diagnosed defects with reproduction steps and traces to either Claude or Codex for the actual code fix. Ship is built by ContextQA, led by founder and CEO Deep Barot , whose earlier work focused on test automation for enterprise applications across web, mobile, APIs, and databases. ContextQA continues to sell and support the enterprise testing platform , while Ship is positioned as a lighter companion product for growing teams who want an always-on quality engineer without standing up a QA function from scratch.