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Bolt DIY + Claude 3.7: Complete Guide …
Learn how to build a local AI coding environment with open-source Bolt DIY and Claude 3.7 Sonnet API. Build complete apps for just 11 cents, with free model alternatives and full deployment workflow.
Claude Code 2.0 Complete Breakdown: Ch…
Deep dive into Claude Code 2.0's core features: checkpoint rollback, context window visualization, usage tracking, native VS Code extension, and MCP server integration, with comparisons to Cursor and Codex.
memU Memory Framework Explained: Unify…
Deep dive into the memU open-source memory framework: how it organizes Agent memory as a file system with three-layer semantic abstraction, dual-loop collaboration, and two retrieval modes.
AI Programming in Practice: A Complete…
A developer used Claude Code and DeepSeek to build and deploy a complete website from scratch in 7 days. 99% AI-written code, AI-generated data, with full process breakdown and cost analysis.
UE5 + AI in Practice: Using MCP to Bri…
Hands-on guide: Using AI tool OpenCode with Unreal Engine MCP to automate C++ coding and Blueprint operations, with workflow best practices and lessons learned.
The Complete Guide to Spring AI: A Ful…
A comprehensive guide to Spring AI covering LLM integration, prompt engineering, RAG knowledge bases, and five AI Agent patterns, with three enterprise projects for Java engineers.
Hermes Self-Evolution Framework: An Op…
Deep dive into NousResearch's open-source Hermes Agent self-evolution framework, using DSPy and GEPA for automated prompt optimization with five-layer safety mechanisms.
Generic Agent: A Self-Evolving AI Agen…
Generic Agent builds a self-evolving AI agent with just 3,000 lines of code, 9 atomic tools, and a five-layer memory architecture — using only one-sixth the tokens of competitors.
Claude Code: 19 Essential Commands Exp…
A deep dive into 19 essential Claude Code commands across conversation management, settings, utilities, permissions, and plugins, plus a golden workflow to double your dev productivity.
Codex Team Reveals a New AI Programmin…
OpenAI's Codex team shows AI programming now prioritizes organizational skills over coding. Learn the four paradigm shift signals, efficient workflows, and how developer roles are being reshaped.
Multi-Model AI Development in Practice…
Learn how to overcome single-model AI limitations by designing a unified API gateway architecture for multi-model collaboration, covering task routing, failover, and cost optimization strategies.
GPT 5.5 vs Claude Code vs DeepSeek V4:…
Hands-on comparison of GPT 5.5, Opus 4.7 (Claude Code), and DeepSeek V4 Pro through a 3D flight simulator and WebGPU shader test — covering coding ability, pricing, and real-world performance.
Product ReviewsIn-depth analysis of the feishu-claude-bridge open-source project: how to use Claude Code for AI programming directly in Feishu, covering architecture, deployment, and use cases.
TutorialsComplete Cursor beginner's guide covering installation, model selection, three conversation modes, billing rules, Rules setup, and practical AI programming tips to help you master Cursor quickly.
Product ReviewsDeep analysis of Cursor 3.0's three core upgrades: Rust rewrite leaving VS Code behind, in-house Composer 2 model with 86% cost reduction, and Agent Windows for multi-agent parallel development.
Product ReviewsIn-depth comparison of 8 AI coding tools including Cursor, Claude Code, Augment Code, Trae, and Windsurf across model support, pricing, code quality, and context understanding to help developers choose the right tool.
TutorialsA complete guide to AI-driven browser automation with Hermes Agent and Playwright, covering setup, three AI modes (snapshot decisions, multi-turn dialogue, autonomous exploration), retry mechanisms, and optimization tips.
Deep DivesBased on Anthropic's engineering practices, a detailed three-step decision framework for single-agent vs multi-agent architecture: bottleneck identification, technical feasibility, and business value filtering.
Deep DivesDeep dive into NousResearch's open-source Hermes Agent framework: memory systems, skill reuse, tool calling, security, deployment guide, and multi-agent collaboration.
Deep DivesA deep dive into AI Agent development methodology, from the ReAct theoretical framework to a four-layer enterprise tech stack covering model services, Agent types, LangChain, and production deployment.