Beyond Bugs: How AI Turns QA into Full-Cycle Engineers
summary
Claim: MCP lets LLMs use real tools so QA moves from filing bugs to reproduces and fixes bugs, using Context 7, custom MCP servers, and playrite to drive browsers and run tests. A benchmark example jumps from 6.3% to 35% when tools and planning are added. Built: prototype agents that generate Playwright tests, click through VS Code and JetBrains, create frontend/backend with docker compose, run CI checks and sometimes auto-fix issues; demos work but occasional flakiness requires human verification.
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chapters (10)
- 0:00AI and QA transformation
- 3:49AI autonomy levels
- 7:43AI agents and capabilities
- 12:17Model Context Protocol
- 16:07Playwright MCP for browser automation
- 20:23ZenCoder plugin testing
- 24:58Autonomous QA workflows
- 28:06Multi-agent systems
- 31:58Full-cycle engineering with AI
- 34:06Q&A
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