In what ways can testers apply Model Context Protocol custom tools to streamline Playwright-based Electron application testing?
Can MCP be used for generating and maintaining BDD-style test scenarios?
As testing sidekicks grow in complexity (e.g., adding AI-powered analysis, supporting new browsers), what strategies ensure MCP-based tools remain maintainable? How do you balance innovation (e.g., experimenting with new MCP features) with stability
Can MCP be used in shift-left testing to guide developers on writing better unit tests?
How do you balance human oversight with agent automation to protect safety/ethics without slowing CI/CD?
What evidence shows agent-to-agent testing surfaces latent multi-step failure modes, and how are these verified?
How do you collect feedback from your AI tool’s usage to evolve and improve its recommendations over time?
What is the biggest advantage of Playwright compared to Webdriveio?
How does MCP integrate with existing CI/CD pipelines without adding significant overhead or latency?
Why cant we built an AI Agent to do these things rather than using or building an MCP ?
Can we use MCP foe all functional testing? I see it lacks cross browser test support. What approach we should go for while using MCP?