#AI coding interview
265 related articles
Expert Opinions·2 min
AI Godfather Hinton's Latest Warning: AI Has Learned to Deceive, Programmers Will Be Replaced
Nobel laureate Hinton warns in CNN interview that AI has learned deception and self-preservation, predicts programmers will be replaced at scale, and criticizes OpenAI and Meta for neglecting safety.
Read more →
Tutorials·1 min
Ningbo Bank AI Agent Interview Questions: Reasoning Optimization + Agent Debugging + Python Key Topics
Deep analysis of real Ningbo Bank AI Agent interview questions covering LLM multi-path reasoning optimization, agent debugging methodology, Python deep/shallow copy, GIL, and decorators.
Read more →
Tutorials·1 min
AI Agent Open-Source Course: 36 Chapters from ReAct to Claude Code Full-Stack Practical Guide
Open-source GitHub project agent-study offers 36 chapters covering ReAct loops, Claude Code reverse engineering, MCP protocol, RAG, DSPy, and production observability as runnable Python code.
Read more →
Expert Opinions·3 min
Claude Code Creator Shares 3 Battle-Tested Tips: Treat AI Like a Team
Claude Code creator Boris Cherny shares 3 power tips: parallel multitasking, Loop execution, and self-verification feedback loops. Transform your AI from a passive tool into a 24/7 automated dev team.
Read more →
Tech Frontiers·3 min
GPT Image 2 Generates APP Interfaces from Scratch — A Paradigm Revolution in AI Front-End Development
GPT Image 2 generates flawless text and photorealistic APP interfaces from scratch. Combined with Codex, AI front-end development enters a paradigm revolution. Coverage includes Amap's ABOT, LLM interpretability breakthroughs, and Huang's TPU rebuttal.
Read more →
Tutorials·3 min
LangGraph Multi-Agent in Practice: Building a Medical Agent System from Scratch
A deep dive into LangGraph multi-agent architecture for healthcare, covering LangChain, RAG, and MCP integration, from requirements analysis to Agent orchestration.
Read more →
Tutorials·3 min
OpenAI Open-Sources GPT-OSS: Run O4-Level Models on 16GB VRAM — Complete Deployment Guide
OpenAI open-sources GPT-OSS (20B/120B) with MOE architecture and native FP4 precision. Run O3-level reasoning on a single RTX 4090. Full deployment guide for Ollama, vLLM, and more.
Read more →
Industry Insights·4 min
Why AI-Generated Test Cases Fall Short — And Why Agent Platforms Are the Real Solution
Deep analysis of 5 common pitfalls in AI-generated test cases and how Agent+Skill platforms solve them with automated requirement splitting, precise generation, and end-to-end test execution.
Read more →
Product Reviews·4 min
FreeBuff Free AI Coding Assistant In-Depth Review: 9 Sub-Agent Architecture & User Experience
In-depth review of FreeBuff free AI terminal coding assistant: analyzing its 9 sub-agent architecture, multi-model switching, ad-supported business model, and privacy considerations vs. competitors like Verdant.
Read more →
Product Reviews·4 min
FreeBuff Coder Review: Is This Ad-Supported Free AI Coding Assistant Actually Worth Using?
Comprehensive review of FreeBuff Coder free terminal AI coding assistant, covering its 9 sub-agents, DeepSeek V4 model routing, IPIR workflow, privacy concerns, and comparison with Claude Code.
Read more →
Tutorials·4 min
2025 LLM Career Transition Roadmap: A Three-Phase Plan from Foundations → Frameworks → Real-World Projects
A systematic 2025 LLM career transition roadmap covering Python, Transformers, LangChain, LlamaIndex, RAG, Agent development, and fine-tuning across three phases achievable in 2-3 months.
Read more →
Deep Dives·3 min
D2C Design-to-Code Full Pipeline Explained: The New Design-Development Paradigm That Top Tech Companies Ask About in Interviews
A deep dive into D2C (Design to Code) technology, comparing it with traditional development and Vibe Coding, covering Figma AI implementation, three-level interview questions, and enterprise architecture design.
Read more →
Expert Opinions·4 min
Rejecting Vibe Coding: Matt Pocock's Engineering-Driven Approach to AI Programming
TypeScript expert Matt Pocock's open-source Skills repo earned 80K+ GitHub Stars, using TDD and Domain-Driven Design to solve AI programming's three biggest pain points.
Read more →
Tutorials·4 min
Java Developers Transitioning to AI: A Practical Path to a 50% Salary Increase When Switching Jobs
Java+AI roles offer 30%-60% salary premiums in 2026. Learn how Java developers can master LLM skills, Spring AI, and AI tools to land higher-paying jobs.
Read more →
Product Reviews·3 min
Step Audio 2.5 In-Depth Review: How Does China's Voice AI Compare to GPT Realtime 2?
Hands-on comparison of StepFun's Step Audio 2.5 vs OpenAI GPT Realtime 2 across reasoning, role-playing, Chinese understanding, and API pricing for developers.
Read more →
Tutorials·3 min
One Month Into My Internship Without Writing a Single Line of Code: A Practical Guide to AI Agent Coding
AI agent coding is now reality in 2025. Learn how to set up OpenCode with DeepSeek and let AI agents write your code through conversation, not copy-paste.
Read more →
Tutorials·4 min
A Practical Guide for Java Developers Transitioning to AI Agent Development: Technology Selection, Architecture Design & Resume Positioning
A systematic guide for Java developers entering AI Agent development, covering core concepts, Workflow vs. Agent architecture comparison, Spring AI Alibaba selection, and resume positioning strategies.
Read more →
Product Reviews·3 min
Criterion Collection 30% Off Sale Guide: How to Choose Between Blu-ray and 4K Discs
Criterion Collection's sitewide 30% off sale ends May 25. This guide covers Blu-ray vs. 4K UHD differences, Criterion's restoration value, and smart buying tips for classic film collectors.
Read more →
Tutorials·3 min
Building an AI Digital Human Agent from Scratch: Architecture Design & Full Technical Breakdown
Complete guide to building an AI digital human Agent, covering Agent, RAG, WebRTC, and Docker deployment with architecture design and engineering best practices.
Read more →
Product Reviews·3 min
SpecMint: A Spec Management Tool That Solves Context Loss for AI Coding Agents
SpecMint Core is an open-source tool providing persistent spec management for AI coding agents like Claude Code and Cursor, solving context loss with deep research, iterative interviews, phased implementation, and context recovery across 8 major AI coding tools.
Read more →