Test Case to Automated Execution - with NO code

AI Experiment #2: Can you actually go straight from a test case document to automated execution using the Chrome DevTools MCP? I wondered... so I tried it.

🧪 **What I'm Experimenting With:**
Taking a markdown test case, connecting Chrome DevTools MCP to Claude Code, and seeing if it can execute the test automatically in a real browser - no test code, no framework setup.

🛠️ **Tools Used:**
- Chrome DevTools MCP
- Claude Code
- Financial dashboard demo app
- Test case from Experiment #1 (markdown format)

⏱️ **Time Taken:** About 5 minutes from test case to automated execution

🎯 **The Verdict:** 🟢 I'd use this tomorrow

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**📍 TIMESTAMPS**

00:00 - The Question
01:00 - Installation & Setup
02:00 - Configuration & Verification
03:00 - The MCP Tools Available
04:00 - Initial Prompt & Test Execution
06:00 - Test Execution - Watch It Run
07:00 - Results & Token Usage Analysis
08:00 - Second Test Run
09:00 - Patterns & Observations
10:00 - Surprises & Insights
11:00 - Creating a Slash Command
13:00 - The Honest Take
13:30 - Still Curious About

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**🔗 RESOURCES MENTIONED**

- Chrome DevTools MCP: https://github.com/chrome-devtools/chrome-devtools-mcp
- Demo Application: https://v0-financial-dashboard-kappa-sepia-92.vercel.app/dashboard
- Claude Code: https://claude.com/claude-code
- CC Usage Tool: For monitoring token consumption

**📝 PROMPTS USED**

See full experiment article with all prompts and setup details: https://www.testmanagement.com/blog/2025/10/test-cases-automated-in-minutes-with-chrome-devtools-mcp/

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**💭 HONEST TAKE**

This is phenomenal. Honestly kind of scary how well it works.

Would I use this? Absolutely. Not for everything, but definitely for specific scenarios.

**When:**
- Working out how to interact with difficult applications before building test automation
- Initial automation of existing test cases to understand feasibility
- Exploratory automation where you need quick feedback
- Generating insights for building proper test frameworks

**When NOT:**
- Production CI/CD pipelines (needs deterministic frameworks)
- High-volume test execution (token consumption adds up)

The real value is using this approach to figure out automation strategies, then converting to deterministic Playwright or similar frameworks for production use.

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**🧪 AI EXPERIMENTS FOR TESTERS**

Weekly experiments working out what actually works with AI for software testers.
Real testing. Real results. Raw & unfiltered.

Subscribe to see what works (and what doesn't): https://www.youtube.com/@TestManagement
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Видео Test Case to Automated Execution - with NO code канала Test Management