#AI编程
9435 related articles
WorkBuddy Bluebook: A Step-by-Step Guide to Tencent's All-Scenario AI Office Workbench
Based on a highly viewed Bilibili tutorial, this systematically breaks down Tencent WorkBuddy's positioning, installation process, and practical workflows, covering its three-layer capabilities of expert library, skills, and connectors, with course structure analysis and audience suitability assessment.
Programming Laws Tier List: Which Are Truths and Which Should Be Retired?
From Conway's Law to Brooks's Law, senior developers Tier List classic programming laws: which still hold in the AI era, and which are overrated folk wisdom?
Kimi K3.1 Pro vs Opus 5.5 in 13 Long-Running Tasks: Which One Is Actually Worth Using?
13 long-horizon tasks pit Kimi K3.1 Pro against Opus 5.5: Kimi takes algorithmic shortcuts in research, wins on Blender visuals, and falsely claims passing strict specs. Total cost 55%, but cache re-reads erase the discount. Four production rules included.
Anthropic Wanted to Replace Engineers—But Shot Its Own Customers First
Anthropic's "replace engineers" narrative sparked debate on Hacker News. This article analyzes why AI coding tool vendors risk alienating paying developer customers through positioning, and offers three product and narrative recommendations.
MCP Protocol and Agent Skills Development in Practice: The Bridge Connecting LLMs to Traditional Systems
An in-depth look at how the MCP protocol lets LLMs connect to traditional software systems in a standardized way, compares it with Agent Skills' capability encapsulation, and explores the LangChain + FastMCP development path and its real impact on developer hiring.
WorkBuddy Tutorial: From Prompts to AI Workflow in Practice
A breakdown of the WorkBuddy tutorial: desktop AI Agent vs chatbot, WorkBuddy vs CodeX comparison, three beginner misconceptions, and the full learning path.
Multi-Agent Collaboration in Practice: A Master Agent Orchestrating Codex and Claude Code
Bilibili creator Xiaoshan's episode 11 shows a master agent orchestrating Codex and Claude Code: Codex handles deep images and research, Claude Code handles coding and UI, dispatching via adapters and SDKs with dual-channel callbacks.
The AI Comic Drama Hit Formula: A Four-Line Checklist and a Full Doubao Walkthrough
Final Bilibili hit-breakdown episode: a four-line AI comic drama formula combining script, character, emotion, and hook, with a live Doubao walkthrough, five validation criteria, and upscaling/storyboard tips.
AI Agent Quick-Start Guide: A Complete Breakdown from Concept to Practice
Based on Bilibili's AI Agent Quick-Start course, this guide covers the definition, three core capabilities, workflow, history, and five types of AI Agents, plus real-world boundaries like understanding failures, memory errors, tool call breakdowns, and permission overreach, with a component checklist and practical advice.
Java + AI Engineering in Practice: A Hands-On Analysis of SpringAI and LangChain4j
Based on Bilibili creator Xu Shu's Java AI tutorial, this analysis covers SpringAI vs LangChain4j selection logic, RAG, MCP, fine-tuning, and practical paths for intelligent customer service and knowledge base systems.
DeepSeek Harness in Practice: AI-Engineered Programming from Beginner to Enterprise Deployment
Based on Zhuge Laoshi's Bilibili course, this article covers Harness AI engineering programming: from prompt engineering to agents, Claude Code with domestic large models for enterprise e-commerce projects, and solutions to AI programming pain points like hallucination, non-standard code, and intelligence degradation.
AI Agent Development Tutorial: From Prompt Engineering to Enterprise-Grade Agents
Based on a popular Bilibili AI Agent tutorial, this article breaks down the four stages of enterprise LLM adoption, the four core Agent capabilities and four mainstream agent types, analyzes the limits of prompt engineering and RAG, and offers a 2026 Agent development learning path and timing judgment.
Superpowers Tutorial: Giving AI Coding Agents a Complete Development Workflow
Complete Superpowers tutorial: add requirements clarification, solution design, task breakdown, TDD, code review, and final acceptance to AI coding agents like Codex Cloud Code—from zero setup to your first project.
Getting Started with Coze AI Agents: A Zero-Code Guide to AI App Development
Coze is ByteDance's one-stop AI app development platform for zero-code agent building. Learn its core advantages, domestic vs. international versions, and the difference between agents and apps.
Tired of Babysitting AI Coding Agents? This Open-Source Tool Makes Them Self-Check
Developers tired of repeatedly accepting AI coding agents' output built Agent Config: an open-source set of skills, rules, and quality checks for Claude Code and other tools that make agents self-check before saying "done," with a standalone production validator.
Tiltmeter: Open-Source Tool Monitors Third-Party API Changes for Agents
Tiltmeter is an open-source tool that monitors third-party API response structure changes, helping Agents like LangGraph check for drift before trusting data, with automatic code fixes.
6 Doubao Agent Tricks for Excel That Double Productivity for Office Workers
6 practical Doubao Agent tricks for Excel: cross-channel info organization, batch resume extraction, data cleaning, performance calculations, interactive dashboards, and structured analysis reports—covering the full data workflow with prompt structure tips.
LangChain4j in Practice: Pitfalls of Writing Frontend with an AI Coding Agent
A hands-on record of using an AI Coding Agent to build a frontend after completing a LangChain4j backend: the full workflow of generating UI with Claude Code + MiniMax, the five-element prompt structure, and the debugging process for a chain of bugs including session ID type mismatches and data not rendering, plus lessons from retrying with Cursor.
AI Agent Decision Timeline: How to Collaborate Efficiently with Agents
Explore decision timeline practices for AI Agent collaboration: why to record each design choice, how to package decision models with a parameters model, and how iterative communication grows decision records to reduce context reconstruction costs.
Xeron: A Unified AI Coding Agent Console Built with Rust
Xeron is an open-source AI coding agent console built with Rust, running local-first and unifying tools like Claude Code, Cursor, and Devin. This article analyzes its technology choices, integration approach, and community reception, while noting the reality of limited early project information.