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A complete tutorial on building a RAG medical Q&A system with LangChain4j, covering Ollama local deployment, Redis vector DB, document vectorization, and Cursor AI-assisted development.

Deep dive into the AI agent engineering stack: from Cursor framework, model selection to context engineering and automated review loops — a complete workflow guide to achieving 100x development efficiency.

A complete guide to building apps with AI coding tools, covering product docs, prototyping, full-stack development, database design, project management, and testing — no coding required.

Step-by-step guide to applying for a DeepSeek API key, configuring it, and analyzing real costs. 38M tokens for just ¥1.9 with ~98% cache hit rate.

DeepSeek and Kimi keep failing at coding? The problem may not be the model but the framework. Learn how Commander Code fixes this with cache routing, tool call repair, and continuous learning.

Deep dive into Harness AI Engineering Programming methodology, covering SDD, Skill development patterns, and core practices for enterprise-level AI-assisted development.

Cursor's code review Agent (Bugbot) gets a major upgrade: 3x faster, 22% cheaper, 10% better bug detection. Explore the improvements, the /review command, and the AI code review landscape.

GitHub Copilot shifts from flat monthly fees to per-token billing, potentially costing developers hundreds per day. Analysis of the change, industry trends, and open-source alternatives like Cline and Codex CLI.

OpenAI Responses API adds image search capability, letting developers get text and image results via a single interface. Learn the feature details, use cases, and impact on AI development.

Cursor's first developer report reveals a Gini coefficient far above warning levels, with the top 1% producing 46x more than the median. A deep dive into AI coding's brutal divide.

AI coding costs too high? The problem isn't model pricing — it's paying repeatedly for wasted context. Discover 4 token black holes draining your budget and practical strategies to fix them.

AI conversations getting worse over time? Master these 7 context management tips—including manual compression, cache rules, and streamlined instructions—to save tokens and boost Claude and GPT output quality.

Reflecting on the pre-AI student era of hand-coding projects from scratch. A lyrics sync app built over two weeks shows how old-school coding built deep skills.

Tsinghua and Zhipu AI release a full-stack web dev benchmark with three difficulty levels. Top models like Gemini 2.5 Pro see scores plummet from 63 to 11.7 on full-stack tasks, exposing AI's real limits.

Google Gemini launches Windows and Mac desktop clients. Real-world testing shows faster startup, better file handling, and lower resource usage vs. the web version.

How can frontend engineers transition to AI full-stack? This guide covers NestJS + LangChain, TypeScript fundamentals, AI Agent development, local model deployment, and cross-language architecture skills.

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.

A junior student uses Cursor and Vibe Coding to build a multi-agent system with 51 AI officials modeled on China's Three Departments and Six Ministries, featuring task distribution, approval workflows, and Token cost visualization.

Learn how the PAO project integrates Bayesian optimization with Aspen Plus via YAML configuration for automated multi-objective chemical process optimization.

Anthropic Developer Conference deep dive into three core AI Agent architectures: Build (code execution), Connect (Web Search & MCP), and Optimize, with live demos and multi-tool collaboration examples.