Ask Me Anything: AI Agents, Skills, Career & Growth
summary
Agentic AI is already writing code, generating and triaging tests and the practical advice is clear: learn fundamentals first, then Playwright + TypeScript for browser and API automation, then layer in agents. For teams there are two paths: DIY vs enterprise agentic platform — DIY requires hosting models, token budgeting, RAG and MCP infrastructure; platforms remove that overhead. Expect the role to shift to orchestrator with human‑in‑the‑loop and an estimated 20–30% headcount reduction, while RAG + MCP routing becomes a core engineering task.
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chapters (10)
- 0:00Which QA Skills Matter Most in the AI Era?
- 3:11Should Testers Learn Playwright or AI Agents First?
- 6:16How Do You Move From Manual QA to Automation Today?
- 9:18How Can Testers Prove Real AI Experience to Recruiters?
- 12:53How Should QA Teams Adopt Agentic AI?
- 16:58What AI Skills Should Testers Learn Next?
- 19:31How Do You Test AI Systems, RAG Apps, and Chatbots?
- 21:35Will AI Replace SDETs or Change the Role?
- 25:09Are AI Testing Certifications Worth It?
- 28:14How Can Testers Stay Relevant With MCP, Agents, and Context Engineering?
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