#behavioral interview STAR
53 related articles
·6 min
AI Agent Development Learning Path: Four Stages from Zero to Hands-On Projects
A systematic breakdown of the AI agent development learning path, covering four stages: fundamentals, RAG knowledge bases, tool use, multi-agent collaboration, and hands-on projects.
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·5 min
Building DeepSeek Agents and Knowledge Bases from Scratch: A Practical Guide to Commercial Deployment
A systematic guide to the full DeepSeek Agent development process: covering prompt engineering, the ReAct framework, workflow orchestration, local deployment, and business requirement breakdown for commercial-ready AI Agents.
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·3 min
15 Months, 10 Failed Interviews: A Deep Retrospective and Breakthrough Guide for AI Engineers
An AI/ML engineer with 4 years of experience faced 10 failed interviews in 15 months at Meta, Amazon, and more. This deep analysis breaks down the root causes and offers ML interview strategies and mindset advice.
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·5 min
Java Backend Interview Sprint: A Systematic Methodology From Rote Q&A to Scenario Questions
How can you prepare efficiently for a Java backend interview? This article breaks down the core methodology of "process-driven interview engineering," covering resume optimization, understanding principles, scenario analysis frameworks, and production troubleshooting.
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·4 min
Landing an Amazon AI/ML Internship Without On-Campus Recruiting: A Complete Preparation Guide
No Amazon on-campus recruiting? This guide details the off-campus path for CS students: DSA practice strategy, ML/LLM skill-building, portfolio creation, resume optimization, and referral tips.
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·3 min
Citi Generative AI Developer Final Interview Guide: Key Topics and Preparation Strategies
Preparing for Citi's Junior Generative AI Application Developer final interview? This guide breaks down technical topics, behavioral questions, financial industry considerations, and efficient short-term prep strategies for LLM, RAG, and system design.
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·4 min
Agent Skills Explained: A Five-Level Evolution from Prompt to AI Expert
A deep dive into Agent Skills: from basic prompts to fully encapsulated AI capability units. Five levels of human-AI interaction evolution, with clear distinctions between Skills, MCP, and Workflow.
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·7 min
The Four-Stage Learning Path for AI Agent Development: From Beginner to Real-World Deployment
A systematic four-stage roadmap for AI Agent development: fundamentals, core principles, enhancement, and real-world deployment. Build complete Agent skills.
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·3 min
Smart Doorbell Cameras: Protecting Communities or Eroding Neighborhood Trust?
Smart security cameras like Ring are becoming neighborhood staples, but research shows "snooping" is their most common use. How surveillance tech replaces community trust — and how to rebuild it.
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·6 min
The Business Empire of Romanian Witches: The Wealth Code Behind Witchcraft and the Plight of a People
Inside Bucharest, Romania: exploring a "Europe's strongest" witch dynasty—mansion altars, livestream marketing, high-pressure sales tactics—and the real plight of Roma women surviving through witchcraft.
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·2 min
Marketing Skills: An Analysis of the Open-Source Project Injecting Marketing Expertise into Claude Code
Explore how the open-source project marketingskills injects CRO, SEO, and copywriting expertise into Claude Code and AI Agents, and how the Skills paradigm transforms AI into domain specialists.
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·6 min
OpenAI CFO Deep Dive: IPO Stance, Compute Shortage, and Jony Ive's New Hardware Revealed
OpenAI CFO Sarah Fryer discusses the $122B fundraise, IPO timeline, Anthropic rivalry, compute shortage crisis, and the mysterious Jony Ive hardware collaboration on the All-In Podcast.
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The True Nature of Moving Fast: Freque…
·3 min
The True Nature of Moving Fast: Frequent Contact with Reality Is a Form of Humility
"Moving fast" isn't recklessness — it's intellectual humility. This article explores the shared logic behind Agile, MVP, and AI iteration: true arrogance is believing you don't need to be tested.
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·2 min
Harness Engineering Architecture Explained: An Essential Skill for AI Agent Developer Roles
Harness Engineering is becoming a must-have skill for AI agent developer roles. Learn the architecture, how top agent products use it, and how to practice with LangChain DeepAgents.
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·2 min
When Millions of AI Agents Meet: A Deep Dive into Distributed Intelligence Collaboration and Security Challenges
Deep dive into AI Agent era challenges: multi-Agent collaboration, delegation mechanisms, agentic traps, cybersecurity threats, cognitive monoculture risks, and distributed intelligence as a new path to AGI.
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·4 min
Building a Coding Agent from Scratch: Creating a Codex-like AI Programming Tool
Deep dive into AI coding agent architecture: from interview-level cognition to building a Codex-like CLI agent tool, covering agents.md, Skills systems, context management, and more.
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·3 min
5 Daily Claude Code Tips: Let AI Interrogate You Instead
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.
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·2 min
Claude Code Practical Guide: From Installation & Configuration to Production-Grade Project Delivery
Complete guide to Claude Code + Opus for production projects: CC Switch setup, engineering-minded prompting, and a real case study delivering a complex payment system in 4 hours.
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·3 min
OpenAI Codex Powers Black Hole Simulation: 1000x Algorithm Speedup Brings First-Ever Black Hole Video Within Reach
The EHT team used OpenAI Codex to speed up black hole plasma simulation algorithms by 1000x, from ten days to minutes. Learn how Codex is enabling the first-ever black hole video.
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·3 min
Google CEO Admits Gemini Lags in Coding: Lacking an Entry Point Is Just the Surface — What's the Real Problem?
Google CEO Pichai admits Gemini lags behind Cursor and Claude Code in AI coding, blaming lack of product entry points. But the real issues are failed product experience, lost developer trust, and ecosystem advantages that haven't converted to competitiveness.
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