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TutorialsLearn how QA engineers can build 18 AI Agents using Coze, LangChain, Dify, Cursor, and Skills — covering requirements analysis, test case generation, script writing, and regression testing with up to 10x efficiency gains.
Product ReviewsDeep dive into a trending GitHub multi-agent framework with 98 expert agents, swarm collaboration, HNSW vector memory, autonomous learning, and Claude Code plugin support for full-lifecycle development.
Product Reviews2025 comparison of four major AI Agent frameworks: Coze for beginners, AutoGPT/LangChain/MetaGPT for developers, Microsoft AutoGen for enterprise self-hosted deployment. A practical selection guide.
TutorialsDeep dive into the TierCraft AI open-source project: using LangGraph to orchestrate AI Agent workflows with OpenAI o4-mini to auto-generate three-tier SaaS pricing plans, featuring Reality-Check loops and context-aware pricing.
Deep DivesDeep dive into Context Engineering: its core principles and practices. From Prompt Engineering to context design, orchestration, and optimization—exploring how Karpathy's new AI paradigm reshapes LLM app development and AI Agent construction.
Product ReviewsSimon Willison built an iNaturalist observation gallery using only his phone and Claude Code while camping. A breakdown of the three-layer architecture: Python CLI clustering, Git Scraping automation, and AI-generated frontend.
TutorialsComplete guide to building an AI digital human Agent, covering Agent, RAG, WebRTC, and Docker deployment with architecture design and engineering best practices.
Deep DivesAnthropic's Advisor Strategy lets Sonnet execute tasks while Opus serves as advisor, cutting costs 12% while boosting SWE-Bench by 2.7 points. A new multi-model AI Agent paradigm explained.
TutorialsDetailed guide on deploying Claude Code domestic alternatives via compatible API interfaces. Deep dive into six core systems: built-in tools, hierarchical memory, multi-Agent collaboration, and more.
Industry InsightsBased on research with 218 engineering leaders, this deep dive explores the contradictory emotions in AI-native transformation — excitement and anxiety coexisting — and how leaders navigate successful change.
Deep DivesDeep dive into how Augment Code uses Mercury 2 dedicated subagents to replace traditional KV cache, achieving 82% faster context compaction, 90% lower summarization costs, and 30% reduced LLM spending.
Product ReviewsTensorlake Skills is a skill module for AI coding agents like Claude Code and OpenAI Codex, routing them to real-time docs on sandboxes, orchestration, and SDKs to fix outdated training data issues.
Product ReviewsDeep dive into the Perfect-Web-Clone open-source project: how its Claude Agent SDK multi-agent architecture and 40+ specialized tools achieve pixel-perfect web cloning beyond Cursor and single-model tools.
Product ReviewsA developer tested AGENTS.md coding rules across 40 PRs on three AI coding Agents. Results: code quality unchanged, but fewer tool calls, faster completion, and lower costs.
Deep DivesCC-Switch is a Rust-based cross-platform desktop app that unifies Claude Code, Codex, Gemini CLI, and three other AI coding assistants in one interface, with 67,000+ GitHub Stars.
Product ReviewsComprehensive comparison of 80+ AI coding agent tools, with SWE-Bench benchmark rankings covering Devin, Cursor, Claude Code, GitHub Copilot and more, plus pricing analysis to help developers choose.
Tech FrontiersMicrosoft open-sources GitAGU (Git Agent Unblock), a centralized platform for discovering, configuring, and integrating AI agents into development workflows across the full SDLC.
TutorialsA deep dive into intelligent Agent development with LangGraph, covering core concepts, project architecture, state management, and practical tips for building AI agents in Python.
TutorialsA deep dive into Context Engineering: core concepts and key techniques including RAG, long-context management, and AI Agent context orchestration for building production-grade AI systems.
TutorialsDeep dive into the 15K-star GitHub project Agent-Skills-for-Context-Engineering, covering context engineering fundamentals, multi-agent architecture patterns, and production-grade Agent system best practices.