For years, we've talked about automating the "what" in testing. But what if we could automate the "why" and the "how"?
Enter Agentic AI. This isn't just another script-running bot. This is a paradigm shift for QE. Instead of writing every single line of code for a test, brief a team of AI agents. Each agent has a specialized role:
🤖 The Strategist Agent: Analyses a new user story, assesses risk, and drafts a test plan.
🔍 The Explorer Agent: Autonomously tours the application, hunting for unexpected behaviour and edge cases we might have missed.
🛠 The Engineer Agent: Writes, executes, and maintains sophisticated automated test scripts based on the Strategist's plan.
📊 The Analyst Agent: Triages test results, investigates failures, and provides a root-cause analysis, not just a red flag.
🔄 The Evolver Agent: Continuously learns from past test cycles and production bugs to improve the entire testing process.
Our focus should be towards
→ Curating the mission and goals for these AI agents.
→ Ensuring robust guardrails and governance are in place.
→ Nurturing human skills: critical thinking, complex problem-solving, and quality advocacy.
The goal is to amplify the QE’s task. To free from repetitive tasks and empower to tackle the complex, high-value challenges that truly require a human touch.
The future of testing is agentic. The question is, are we ready to be the conductors of this new orchestra?
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