48 related articles
TutorialsA practical guide to GenSpark's six AI Agents: AI Developer for websites, AI Designer for visuals, AI Sheets for data, AI Slides for presentations, Workflow automation, and Claw mobile manager.
Product ReviewsDeep dive into OpenSwarm, an open-source multi-agent system where 8 specialized agents collaborate to generate complete deliverables—research, charts, slides—from a single prompt.
Product ReviewsDeep dive into BeMAD, a GitHub open-source framework with 50+ guided workflows and 21 AI Agents that compressed WeChat Mini Program development from idea to launch into just 6 hours.
Engineering Practices That Boosted Cla…
How Hooks+Skills+Commands+Agents work together in Claude Code to boost AI skill activation from 25% to 90%, with core config files and deployment guide.
Tech FrontiersAnthropic suffers a major code leak exposing 500K+ lines of Claude Code source, unreleased Opus 4.7, Sonnet 4.8, Mythos 5 models, 44 hidden feature flags, and the full product roadmap.
Deep Dive into Cursor Skills: From Fun…
Deep dive into Cursor Skills' underlying principles, from Function Call and MCP protocol to Workflow Agent, with Spring AI Alibaba practical demo for any LLM.
35 Lines of Prompts Let Codex Auto-Opt…
An OpenAI employee used just 35 lines of prompts to have Codex analyze 30 days of work history, identify repetitive tasks, and generate reusable automated Skills. Combined with screen reading and long-term memory, Codex is becoming a proactive workflow optimization agent.
Cursor 3.0 Deep Dive: The AI Agent Com…
Cursor 3.0 abandons VS Code entirely, rewritten from scratch in Rust as an AI agent management platform. Deep dive into its three evolutions, Composer 2 controversy, parallel agent orchestration, and the paradigm shift from assisted to autonomous coding.
Orchestrating AI Agents as State Machi…
Explore the next evolution of AI coding: applying CI/CD engineering practices to orchestrate Agents as state machines with YAML templates, Gates, and Dashboards for autonomous multi-Agent progression.
Claude Code Source Code Study Guide: E…
Learn AI Agent development from Claude Code's 510K lines of source code, covering Agent Loop, context compression, multi-Agent orchestration, and two efficient study methods.
Zen MCP: An Open-Source Tool That Lets…
Deep dive into Zen MCP, an open-source project that lets Claude Code orchestrate Gemini, O3, and other AI models via MCP protocol, with cost-reduction proxy setup guide.
Tech FrontiersMeta Superintelligence Labs releases Muse Spark, a native multimodal reasoning model supporting visual chain of thought, tool-use, and multi-agent orchestration. Deep dive into its capabilities and competitive positioning.
Claude Opus 4.8 Deep Dive: Honesty Mat…
Claude Opus 4.8 core upgrade: code bug oversight rate reduced 4x, model becomes more honest. Covers Dynamic Workflows parallel orchestration, Claude Code quota reset, effort control, and upcoming Miscells model.
Complete Tutorial: Using GPT to Automa…
Learn how to use GPT's high-intensity thinking mode to automatically configure Claude Opus 4.6/4.7 Max thinking mode in OpenCode, including proxy channel setup, API Key creation, and environment configuration.
Cursor 2.0 in Practice: Vibe Coding Me…
Deep dive into Cursor 2.0's Vibe Coding methodology with two real-world scenarios: full-stack site building and enterprise bug fixing using the Rules, Commands, Context architecture for 10x dev efficiency.
Five Core Capabilities of GitHub Copil…
Deep dive into GitHub Copilot's MCP integration in JetBrains IDEs: Agent Mode, Sampling model scheduling, MCP Prompts, Resources context injection, and Elicitation structured dialogue guidance.
TutorialsExplore Claude Code multi-Agent collaboration with Planner+Packager Subagents for semi-automated project iteration, plus a lite TARS orchestration concept revealing Agent inter-calling limits.
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.
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 DivesA systematic breakdown of AI's four-stage evolution from Chat Mode to Agentic AI, covering multi-agent architectures, ReAct framework, and MCP protocol.