Shiplight AI is an agentic AI testing platform designed specifically for AI coding agents. It integrates directly into your coding workflow to auto-generate self-healing end-to-end tests via the Model Context Protocol (MCP), verifying changes in a real browser as you build. This transforms ad-hoc verifications into stable regression tests with near-zero maintenance, eliminating the need for separate QA workflows or brittle scripts.
Key features include AI-powered test generation from natural language descriptions, visual refinement tools, and an AI Fixer that automatically repairs tests when UI elements change—such as a moved button or renamed class. Cloud runners provide scalable execution, while live dashboards and auto-reports keep your team informed. Shiplight connects seamlessly with CI/CD pipelines, chat platforms, and issue tracking systems from day one.
Benefits include dramatically faster E2E coverage—teams achieve reliable coverage 10× faster—and a drastic reduction in maintenance overhead. Tests self-heal as your product evolves, so your team spends zero time fixing flakes and 100% of their time shipping product. The platform supports natural language test creation, making it accessible to developers, PMs, designers, and QA alike without requiring scripting or QA experience.
Use cases span continuous verification during development, automated regression testing, and collaborative test creation across teams. Technical details include resilient browser execution, autonomous agent discovery of user flows, and robust no-code tools for full control. Shiplight interprets natural language rather than fragile selectors, ensuring tests remain stable through UI and DOM changes. By plugging into your coding agent, Shiplight catches regressions before code review, not after merge, and coverage grows naturally as part of shipping. Trusted by fast-growing companies for AI-native products, mission-critical workflows, and mobile browser testing, Shiplight accelerates releases without slowing down engineering.
AI coding agents, QA engineers, software developers, DevOps teams, product teams
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