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A job seeker used Claude for AI mock interviews, fixing rambling answers and buried examples through iterative feedback, and landed the offer. Full methodology inside.

Codex is OpenAI's AI coding assistant that lets you write code using natural language. Learn its core features, use cases, and why programmers must master AI coding tools.

Notion co-founder Simon Last shares Notion's journey from note-taking tool to AI agent workspace: from first tasting GPT-4 to personal and custom agents.

AI is reshaping the career landscape of Java development: junior CRUD roles are the first to go, but demand rises for engineers who understand business, architecture, and can command AI. A deep dive into the transformation path for Java developers.

Apple sued OpenAI for trade secret theft, triggering a public feud between Musk and Altman on X. Full breakdown of the clash, their contrasting strategies, and what the lawsuit really means for OpenAI's hardware ambitions.

A focused guide to core LLM application engineer interview topics, covering agent architecture, Multi-Agent, Langfuse evaluation, security, and RAG optimization.

A focused guide to the core interview topics for LLM application engineers, covering agent architecture, Multi-Agent, Langfuse evaluation & tracing, security, and RAG optimization.

Deep-dive into AI testing platforms: from auto-generating test cases from requirements docs to API testing, performance testing, and log analysis. Prepare for big tech interviews.

A deep dive into the three-layer AI Agent evaluation framework — outcome, process, and system layers — covering trajectory evaluation, tool call accuracy, automated testing, and key engineering challenges.

Anthropic engineer Talik's AI collaboration methodology: 5 practical techniques—blindspot checks, mockups, Socratic interviews, plan audits, and process notes—to systematically unlock AI's true potential.

A deep dive into AI-powered testing: Cursor Skills, Coze agents, and LangChain multi-agent systems for automated test case generation, BDD, and review workflows.

Frontend hiring now treats AI capabilities as a core assessment, covering RAG knowledge bases, AI Agent development, and LangChain.js engineering. Learn how LangChain.js + Nuxt.js helps frontend developers build memory- and retrieval-capable AI full-stack apps.

A complete guide for frontend developers advancing to AI architects, covering the three-tier competency framework, Codex-like agent design, agents.md configuration, Skills systems, and core AI architect capabilities.

A complete 3-month learning roadmap for switching to AI software testing from scratch, covering fundamentals, Python automation, AI-powered testing, and career guidance.

5 daily Claude Code tips: Grill Me for requirements, Brainstorming for architecture, Writing Plan for execution, TDD for testing, and Debugging for precise fixes — a complete AI coding workflow.

How can frontend engineers transition to AI Agent development? A systematic 3-month roadmap covering AI concepts, model selection, team productivity, and Agent architecture.

A deep dive into the AI product manager industry's three-layer pyramid — from infrastructure to models to applications — helping traditional PMs find the best career transition track.

Maker Ben James shares why silly ideas are essential to creativity. Explore how experimentation, playfulness, and purposeless exploration drive real innovation breakthroughs in the AI era.