#LLM application developer interview
178 related articles
·2 min
The 4-Stage Roadmap for AI Application Development: A Career Transition Guide from Beginner to Senior Engineer
A 4-stage roadmap for AI application development: from Python and RAG basics to Agent cluster architecture, covering the core skills needed for career growth.
Read more →
·3 min
AI Agent Hands-On Learning Path: A Complete Guide from Beginner to Enterprise-Level Development
A systematic AI Agent development learning roadmap covering prompt engineering, RAG, multi-Agent collaboration, tool calling, and more—with phased learning advice and 28 hands-on project references.
Read more →
·3 min
9 Failure Modes and Best Practices Guide for the GrillMe Skill
Deep dive into 9 common failure modes of GrillMe and GrillWithDocs skills, covering scope control, question fidelity, model selection, parallel sessions, and more best practices.
Read more →
·3 min
How Preply Is Redefining Language Learning with AI + Human Tutors
Deep dive into how Preply combines AI features like Lesson Insights with 100K human tutors to achieve 70%+ adoption rates, redefining personalized language learning.
Read more →
·4 min
AI Full-Stack Development Architecture: A Three-Layer Progressive Path from Prototype to Production
A detailed guide to AI full-stack development architecture covering Node.js+TypeScript+Monorepo engineering, Docker CI/CD deployment, and AI engine design with interview tips.
Read more →
·4 min
Neural Networks from Scratch: A Deep Dive into the Fundamentals from Linear Regression to Gradient Descent
From linear regression and logistic regression to gradient descent, this guide derives the core mechanisms of neural networks step by step, covering Sigmoid, cross-entropy, activation functions, and backpropagation.
Read more →
·2 min
Java Backend Interview Prep Roadmap: A 6-Week Sprint Guide Integrating AI Agent Development
A systematic 6-week Java backend interview prep roadmap covering JVM internals, Spring Boot, Redis, microservices, plus Spring AI, LangChain4j, and RAG for AI Agent development.
Read more →
·2 min
Getting Started with AI Agent Development: A Three-Stage Learning Roadmap Explained
A complete roadmap for learning AI Agent development from scratch. Covers Python basics, LLM concepts, five core capabilities, mainstream frameworks, and RAG knowledge base projects.
Read more →
·3 min
Pangu Skill: An Open-Source Project That Distills 18 Business Leaders into Callable AI Protocols
Pangu.skill is an open-source project that distills 18 top business leaders' cognitive patterns into callable AI protocols, enabling 24/7 decision analysis.
Read more →
·3 min
Claude Code Enterprise E-commerce in Practice: A Methodology for Taking AI Programming from Demo to Industrial-Grade
A deep dive into engineering methodology for enterprise e-commerce development with Claude Code and Harness AI, covering architecture, code quality, and CI/CD practices.
Read more →
·4 min
Grill With Docs: Doubling AI Programming Collaboration Efficiency with a Unified Language
From Grill Me to Grill With Docs: applying DDD's Ubiquitous Language to solve terminology drift and context loss in AI programming for efficient cross-session collaboration.
Read more →
·3 min
Prompt Template Design for Document Summarization: A Practical Guide to Three-Layer Progressive Prompt Engineering
A practical guide to three-layer progressive Prompt template design for document summarization, covering requirements analysis, architecture design, validation, and optimization — boosting information extraction completeness from 78% to 91%.
Read more →
·3 min
AI Agent Productivity Guide for Developers: Practical Methods to Automate 84% of Non-Coding Work
Developers spend 84% of their time on non-coding tasks. Learn how to use AI Agents to automate Jira tickets, tech docs, and multi-project management with Claude Code and Tmux workflows.
Read more →
·3 min
Java Developer's Guide to AI Application Development: Career Path, Skills, and Hands-On Strategy
A practical guide for Java developers transitioning to AI app development. Includes a 45-day learning plan covering Spring AI, RAG, Agent skills, plus resume and interview strategies.
Read more →
·4 min
Self-Study Guide to AI Agent Development: A Complete Path from Zero to Production
A practical self-study roadmap for AI Agent development: covering core skills, common pitfalls, phased learning plans, and interview prep to help developers go from concept collectors to builders.
Read more →
·2 min
Ben James on Creativity: Why Silly Ideas Are the Key to Innovation
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.
Read more →
Tutorials·4 min
Cursor + Codex Dual-IDE Collaboration: A Practical Methodology for Open-Source Project Customization
A complete methodology for open-source project customization based on real-world experience, detailing the Cursor+Codex dual-IDE workflow, seven-stage process, MVP validation, and AI source code reading techniques.
Read more →
Expert Opinions·3 min
Is Learning to Code Still Worth It in the AI Era? An Honest Answer from an Atlassian Engineer
Can AI write code instantly—so is coding still worth learning? An Atlassian engineer breaks down the truth behind tech leaders' claims and AI coding limitations.
Read more →
Tutorials·3 min
In-Depth Review of a 628-Episode Python Full-Stack Tutorial: Can a Free Course Launch Your Career?
In-depth review of a 628-episode free Python full-stack tutorial on Bilibili, analyzing its strengths, limitations, and providing learning strategy advice for Python beginners.
Read more →
Tutorials·3 min
In-Depth Review of a 628-Episode Python Full-Stack Tutorial: Can a Free Course Launch Your Career?
In-depth review of a 628-episode free Python full-stack tutorial on Bilibili, analyzing its strengths, limitations, and providing learning strategy advice for Python beginners.
Read more →