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Andrew Ng and Anthropic launch the Agent Skills course, teaching how to package domain expertise into reusable Skill modules for build-once, deploy-anywhere AI Agents.

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.

Analyze the three root causes of long-running AI Agent failures — state loss, planning drift, and verification failure — with a five-layer architecture solution and six actionable engineering rules.

A systematic breakdown of core AI concepts — Token, RAG, Agent, MCP, Function Call — tracing the evolution from probabilistic text prediction to autonomous agents.

In-depth review of the top 10 AI coding models in 2026, comparing Qwen 3.7 Max, DeepSeek V4 Pro, Claude 4.5 Summit, GPT 5.5 and more across code generation, Agent collaboration, and long-context handling.

OpenAI engineer Ryan Lopopolo introduces Harness Engineering — a methodology where humans build constraint systems and AI agents handle all code implementation.

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.

Deep dive into Cursor's four core features, six-dimension comparison with traditional IDEs, and analysis of target users. Learn how this AI-native code editor redefines programming through natural language interaction.

Learn how to connect your local Zotero library to Claude and Codex via Zotero MCP for AI-assisted academic writing with real citations, PDF-to-Markdown optimization, and ARS command workflows.

A 17-year-old indie developer builds AI with persistent memory, enabling emotionally aware conversations. Explore the tech behind AI memory and the future of AI companionship.

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.

A detailed guide to Codex MCP (Model Context Protocol): core concepts, two server types, configuration methods, and practical applications to help developers get started quickly.

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.

Learn how to add custom API Keys to Cursor Free using Cursor++. Complete setup guide covering installation, authorization, network config, and API channels.

A detailed guide to Cursor AI's model selection (Auto/Max Mode/Compose 2.5 Fast), Context panel metrics, and token billing mechanisms to help developers use Cursor efficiently.

An in-depth analysis of AI companion roleplay apps: examining immersive dialogue, character customization, and claims of unrestricted content, plus practical advice on privacy, compliance, and sustainability.

Deep dive into coding Agent feedback loops: how AI tools turn errors and test failures into correction signals. Covers context management, root cause analysis, death loop avoidance, and more.

A three-step guide to LLM app development: from Prompt Engineering and API calls, to RAG knowledge bases, to Agent development and multi-agent collaboration.
Cursor 3 Quick Start Guide: Master Cor…
Cursor 3 quick start tutorial covering Plan, Debug, Multitask AI work modes, Auto model and Token mechanisms to help beginners master AI programming tools.

In-depth review of Google Gemini 3.5 Flash across multimodal vision, video understanding, contract analysis, and Vibe Coding. 1M token context at one-third the price of competitors.