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Google Gemini Managed Agents API introduces environment hooks, model selection, free tier support, and default model upgrades—empowering AI Agent developers with stronger execution control and lower barriers to entry.
Product ReviewsFull breakdown of Claude Code 2.1: Opus 4.6 model upgrade, Hooks deterministic automation, Skills multi-agent collaboration, MCP tool chain integration, plus IDE shortcuts and practical commands.
TutorialsA deep dive into Claude Agent SDK for Python: Query basics, custom Tools with MCP Server, CloudSdkClient multi-turn sessions, and Hooks security control with full code examples.

A detailed guide to Claude Code installation, domestic model switching, project analysis commands, and Git workflow practice to help developers quickly master this AI programming collaboration tool.

Google Gemini API Managed Agents launches three key updates: Free Tier for universal access, Cost Controls for budget safety, and Scheduled Triggers for automated execution.

SeaTicket is an AI Agent that automatically resolves GitHub Issues and Discord questions. This article analyzes its architecture, use cases, challenges, and value for open-source maintenance.

Exposing the truth behind viral Codex 5-minute website videos: creators aren't building original sites with AI—they're copying shared prompts or scraping others' work. Learn AI coding tools' real limits.

Exposing the truth behind viral Codex 5-minute website videos: creators aren't building original sites with AI — they're copying shared prompts or scraping others' work.

A deep engineering analysis of Agent internals: how LLMs decompose tasks via tool calling, why context compression and memory are essential, and why solo developers should avoid heavy frameworks.

Generative AI is profoundly redefining personal computers — from passive tools to intelligent collaborators, from deterministic computation to probabilistic reasoning. Explore the core shifts of the AI PC era.

An in-depth analysis of Jenkins' technical architecture, plugin ecosystem, distributed builds, and use cases — explaining why it remains the CI/CD leader.

Learn how GitHub Agentic Workflows automate cross-repo documentation updates. See the Aspire team's AI-driven approach: event triggers, smart drafting, and SME review to keep docs in sync with code.

A 12-person product team shares real-world experiences with Cursor, Codex, Claude Code, and CodeRabbit—exploring efficiency plateaus, scenario matching, and selection criteria for AI coding tools that actually stick.

Veteran AI practitioner Remy breaks down the leap from chat models to AI agents: how agents work, the three pillars of context, tools, and skills, MCP connections, and hands-on architecture to make you a 100x employee.

A complete guide to Claude Code from beginner to enterprise practice: covering CLI installation, connecting domestic LLMs via CC Switch, basic commands, Git workflow integration, automated bug fixing, and engineering capabilities like MCP and SubAgents.

An open-source newsletter auto-generation system requiring no coding—just have AI read the project docs to complete deployment. Six-stage pipeline, four-channel search covering 16+ platforms, smart classification & deduplication. Completely free.

AI agents underperforming? The root cause usually isn't the model. This guide breaks down Loop, Harness, and Context Engineering so you can diagnose the real issue fast.

In-depth analysis of Claude Code customization methodology: from access, knowledge injection to tooling. Master context window management, zero-overhead Hooks, and MCP & Skills plugin primitives to build a scalable AI software engineering workflow.

Integrating email into LangChain agents: Gmail API's OAuth flow is too complex, while AgentMail offers a lightweight agent-native email API. A practical engineering comparison.

A practical guide to Claude Code covering installation, Chinese LLM switching, project analysis, key commands, and conversational Git workflow automation for developers.