146 related articles

Deep dive into Google's Antigravity SDK: its binary runtime architecture, key differences from Pydantic AI and LangGraph, installation pitfalls, and practical edge-case recommendations.

Cursor officially releases its SDK supporting Python and TypeScript, letting developers build custom AI Agents on Composer 2.5. Explore core capabilities, use cases, and a limited 90% discount.
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.
Product ReviewsGoogle releases Antigravity SDK preview, a Python AI Agent framework. Features minimal code startup, declarative security policies, MCP integration, multimodal input, and streaming output.

Stacklight is a zero-backend, telemetry-free native iOS app with 23 service integrations, offering privacy-first mobile monitoring and control for homelabs via TOFU certificate pinning and iCloud sync.

Stacklight is a zero-backend, telemetry-free native iOS app with 23 service integrations, offering privacy-first mobile monitoring and control for homelabs via TOFU certificate pinning and iCloud sync.

Microsoft open-sources agent-governance-toolkit covering all OWASP Agentic Top 10 risks through policy enforcement, zero-trust identity, execution sandboxing, and reliability engineering for production AI Agent deployment.

Explore the new code review mindset for the AI programming era: now that code is cheap, engineers should generate massive amounts of code to verify critical code rather than obsessing over reading every line.

Explore the new code review mindset in the AI era: now that code is cheap, engineers should generate more code to validate critical code rather than reading every line.

Complete guide to DeepSeek-OCR from vLLM inference deployment and Unsloth model loading to fine-tuning, covering cloud server setup, GPU selection, and code examples — all on a single 4090 GPU.

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.
aisuite: Andrew Ng's Open-Source Unifi…
aisuite, open-sourced by Andrew Ng's team, provides a unified interface for calling OpenAI, Anthropic, Google, and other major LLMs. Switch providers seamlessly by just changing the model parameter. 15,000+ GitHub stars.

A Google DeepMind engineer reveals that over 50,000 AI agent skills come with almost no evals. Learn how to write skill evaluations, from description tuning to test design.

A Google DeepMind engineer reveals that over 50,000 AI agent skills come with almost no evals. This guide covers skill descriptions, test design, eval harnesses, and retirement strategies.
GitHub Daily · July 25: Where Decentra…
GitHub Trending July 25: bitchat's Bluetooth Mesh chat gains 1,700 stars in a day, palmier-pro reimagines AI-native video editing, and aisuite unifies LLM access.

In-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing and the transition path for test engineers.

An in-depth analysis of the five core dimensions of AI Agent testing: command safety, tool-calling accuracy, task planning, output consistency, and error self-repair. Master automated testing methods and the transition path for test engineers.

In the AI programming era, Vibe Coding alone can only build toys. This article deeply analyzes the complete engineering path from Vibe Coding to SDD spec-driven development, covering Claude Code and Codex tool selection, the SuperPower plugin, and domestic LLM comparisons.
The Rise of Claude Skills Ecosystem: A…
Explore the Claude Skills ecosystem: from prompt engineering to modular skills, covering skill libraries, MCP integrations, and dev frameworks. The awesome-claude-skills list has 68K+ Stars.

Skip the dry theory and get hands-on! This article demonstrates step by step how to build a working AI Agent from scratch in 30 minutes using AI coding tools—covering the agent skeleton, tool system, memory mechanism, Flask web UI, and DeepSeek API integration.