How to Test This with AI and MCP - Deepak Kamboj
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概要
Today, Deepak Kamboj, Senior Software Engineer and Solution Architect at Microsoft, shares how he scaled Playwright automation across 40 teams and 14,000 test cases and why AI agents are the next leap for test engineering.
👉👉 Key takeaways from Deepak:
🔹 Build infrastructure, not just test cases
"My work was focused on building a large scale automation framework, not just writing test cases."
🔹 Use AI across the full test lifecycle
"I started building AI agents that can generate Playwright test cases, analyze failures, run accessibility checks, do performance checks, visual comparison, and ultimately create pull requests automatically."
🔹 Learn prompt engineering
"Prompt engineering is very good when you are about to do automation. The way you are writing a system prompt or your user prompt will play a big role in the way your agent will behave."
🔹 Don't fear AI — use it
"AI is your co-pilot or your companion. Don't take it as your replacement. It will complement you. It will provide you with more efficiency. It will make you more effective."
🔹 Let AI handle the repetitive work
"Testers can use AI agents to automate a lot of repetitive activities they were performing. They can use agents to understand why a system fails, why a particular test case fails, what type of test cases to write."