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Why AI coding is moving back to the terminal. A practical look at AI CLI agents and terminal-based AI coding assistants, multi-repo workflows, microservices, architecture-first thinking, and verification-driven development.
Read moreLearn AI faster with three paths: theory-first student, power-user workflows, and builder tooling. Understand LLM fundamentals, prompting, agents, and how to connect them.
Read moreDiscover agentic testing: how AI agents can test applications through white-box code analysis and black-box exploration using Playwright MCP, Chrome DevTools MCP, and terminal tools. Learn practical examples with Java Spring Boot and React, explore benefits and challenges, and see how coding agents are becoming testing agents.
Read moreComprehensive guide to securing your Playwright MCP test automation, covering authentication handling, credential management, secure test data practices, and protecting against common security vulnerabilities in automated testing.
Read moreLearn how to build and test a practical RAG workflow with Gemini File Search, including managed retrieval, grounding checks, and implementation trade-offs.
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