#AI编程
9361 related articles
Vibe Coding Full-Stack in Practice: AI Programming from Beginner to Enterprise Deployment
From Cursor to Claude Code, this Bilibili AI programming course uses four progressive projects to cover full-stack development, open-source secondary development, and team collaboration. The article analyzes the shock to frontend roles, the efficiency shift from 50 people to 5, and the methodology required for enterprise-grade projects.
DeepSeek Harness: A Beginner's Installation and Testing Guide
A DeepSeek Harness tutorial for test engineers: set up Node.js, launch with one NPX command, configure official and third-party models, and explore web search, file I/O, and trace-view agent observability.
AI Game Development in Practice: Designing Levels with the Four-Step Method and Pacing Curves
AI game development lesson 10: design levels with the four-step method (teach, practice, combine, test) and a 1-5 pacing curve, plus sightline guidance and safety zones—implement Animatable Body 2D moving platforms and generate ASCII sketches for 1-2 Underground Cavern and 1-3 Guard Hall.
AI Game Development in Practice: Two-Phase Boss State Machines and Death Heatmap Tuning
AI game development lesson 10: implement a two-phase Boss with a state machine, guarantee fairness with color signals and a 0.4-second warning floor, locate difficulty cliffs with a death heatmap, and apply lightest-to-heaviest fixes one at a time, with an acceptance checklist and common pitfalls.
AI Game Development in Practice: Audio Buses and Building the Full UI Flow
AI game dev lesson 11 part 2: Godot's audio trio, audio buses and dB conversion, AudioManager's player pool and random pitch, autoload boundaries, the full UI flow from title to clear, fault-tolerant JSON saves, and pixel font anti-aliasing and integer-size rules.
AI Game Dev Acceptance Lesson: Using GUT Tests and Agent Self-Checks to Make Bugs Impossible to Hide
Lesson 12 of AI game development: use GUT automated tests, Agent self-check loops, browser smoke acceptance, and external playtesting to turn "AI says done" into verifiable evidence.
The Ultimate Codex Guide: From Installation to Real-World Use — AI That Operates Your Computer for You
A Bilibili creator demonstrates Codex: installing via app store, configuring work mode and project folders, organizing messy files into Excel, and building a visual dashboard with Plan Mode.
Getting Started with LangChain: Agent Development and RAG in Practice
A Bilibili LangChain tutorial breakdown: what LangChain is, its analogy to Spring, the three LLM limitations (knowledge cutoff, external interaction, statelessness) and how LangChain solves them, plus official docs learning path and Agent development tips.
A Three-Month Python Roadmap for Beginners: Syntax and Web Scraping in Full
Based on a Bilibili Python beginner tutorial, this article outlines a three-month path from syntax to scraping practice to framework advancement, analyzing key actions and common pitfalls at each stage and offering a sober assessment of the "job-ready in three months" claim.
Multimodal LLM Deployment and Fine-Tuning in Practice: Job Skills and Learning Path
A Bilibili public class on multimodal LLM deployment and fine-tuning: instructor Chen Bo explains the three skills AI engineers need—application development, fine-tuning, and fundamentals.
Getting Started with LangChain: A Guide to the LLM Application Development Framework
An in-depth look at the origins and core features of the LangChain framework, the three major limitations of large model applications, and how LangChain solves them through chained construction, state management, and tool calling, plus the 1.0 architecture changes and its relationship with LangGraph.
Spring AI 2.0 in Practice: A Java Developer's Guide to Agent Development
Based on Turing Classroom's Spring AI 2.0 course, this article maps the complete path for Java developers to build AI Agents with Tools, MCP, and Skill, with an airline customer service demo.
Hermes Agent Beginner's Guide: A Self-Evolving AI Assistant
Hermes Agent beginner's tutorial: how to install and use the 41.7K-star self-evolving AI Agent. We break down its learning loop, three-tier memory, and Skill self-improvement, compare it with Claude Code and OpenClaw, and include WSL installation steps.
RAG Interview Essentials: Breaking Down the Full Offline Indexing and Online Retrieval Pipeline
A complete breakdown of the RAG retrieval-augmented generation workflow: offline document loading, chunking, vectorization, and indexing; online query rewriting, vector retrieval, reranking, and generation, plus core interview points and system optimization directions.
AI Large Models for Absolute Beginners: Principles and API Calling in Practice
From AI's evolution to large model training principles and core concepts like Token, Temperature, and Top-P, this article explains system prompts, Function Call, RAG, and memory with hands-on examples and four API call scenarios—ideal for beginners.
Will GitHub Die? Open Source Maintainer Burnout and the Collaboration Crisis in the AI Era
Lex Fridman podcast discussion on open source maintainer burnout and GitHub's predicament: massive pull requests overwhelm core maintainers, and AI worsens code bloat. Using math journal peer review and Poincaré conjecture verification as analogies, the article analyzes why verification in knowledge production must be deliberately slow, and how open source communities can avoid the failure mode of maintainers exiting.
Stop Building Cookie-Cutter AI Websites: 3 Tools That Transform Your Coding Agent
Three tools that boost AI coding agents: FFmpeg skill for local video editing in Claude Code and Cursor, Hallmark's 50 design themes to fix cookie-cutter AI sites, and Jailbreaks' 25+ model prompts.
Chopstick: Using AI Coding Agents to Auto-Generate Mac Widgets
Chopstick is a Mac productivity tool that identifies repetitive actions and calls existing coding agents to auto-generate notch widgets, with activity logs kept local. This article analyzes its automation logic, privacy design, and use cases.
Faylee: Hand Bug Reports to AI Coding Agents for One-Click Fixes
Faylee turns screen recordings, console logs, network requests, and clicks into a single-link bug report, letting AI coding agents like Claude Code, Codex, and Cursor read and fix issues via MCP. Free for teams under 3.
Kestrix: Redefining CI Trigger Logic with DAG and HCL
Kestrix is a repo-agnostic CI control plane that defines pipelines in HCL and parses them into a DAG, running tasks only when declared repos change, with React Flow live logs and outbound-HTTPS-only remote runners.