Cracking SDET Interviews: How to Think Like an Interviewer, Not Just a Candidate
22 technical rounds, 9 offers. The difference was thinking like an interviewer. 3 insights, round structure, top 10 topics, and the number 1 preparation mistake.
22 technical rounds, 9 offers. The difference was thinking like an interviewer. 3 insights, round structure, top 10 topics, and the number 1 preparation mistake.
Real SDET salary data for India 2026. Compare TCS, Flipkart, and Series A startup compensation with verified numbers from JobRise and CodingKaro.
Build a production-grade self-healing regression agent using LangGraph 1.2.2 and Playwright. Complete TypeScript code, CI/CD Docker setup, and 2026 India salary data for agentic SDETs.
How AI fits into every phase of the STLC: test planning, script generation, intelligent execution, and defect triage. Tools, human roles, and the golden rule of AI in QA.
Learn how to combine LangChain and Playwright into a production-grade AI test agent. Includes planner, generator, executor pipeline with TypeScript code, self-healing logic, and India salary data.
Learn how AI test agents use the planner-generator-healer architecture to write, run, and heal Playwright tests autonomously. Full TypeScript tutorial.
Running 400 Playwright tests on your laptop works until it does not. I moved my team’s Playwright suite into a Docker Compose grid last quarter. Execution time dropped from 41 minutes to 9 minutes. Here is the exact architecture, the compose file, and the mistakes that cost me two days.
Learn how AI visual regression testing replaces manual screenshot review with agent-driven validation. Real benchmarks from Percy, Chromatic, Applitools, and BrowsingBee with production CI pipeline examples.
Build multi-step regression testing agents with LangGraph. Learn stateful workflows, Playwright integration, checkpointing, and real Python/TypeScript code for QA teams.
I audited 34 self-healing test automation setups. 68% were fundamentally broken. Here are the five failure modes, tool comparisons, and the minimal implementation that works.
I tested Claude Opus 4 and Sonnet 4 against 47 real production bugs. Here is the benchmark data, the failure analysis, and the exact workflow that makes Claude 4 useful for QA teams.
Compare DeepEval vs PromptFoo for building LLM test oracles. Real GitHub stats, CI/CD integration paths, red teaming features, and code examples for QA teams in 2026.