75 related articles

GLM-5.2 enters internal testing; Moore Threads open-sources MUSA Coder, China's first code LLM trained on domestic GPUs; Google backs Anthropic with $35B in guarantees.

OpenAI releases GPT-5.6 preview with three models: flagship Soul, balanced Tara, and lightweight Luna. Based on real KingBench 3 testing, this article breaks down each model's performance on math, front-end, and agentic tasks, and compares them with Anthropic Fable.

OpenAI releases GPT-5.6 with three models — Sol, Terra, Luna — bringing major gains in coding and cybersecurity. More critically: the U.S. government now reviews AI model releases, making frontier AI regulation the new industry norm.

An in-depth look at the seven core components for building long-running AI agents: Goal, Evaluator, Verifier, Outer Loop, Orchestration, Observability, and Memory. Master this control system for reliable autonomous agents.
GPT-5.5 and Codex: The Paradigm Shift …
Deep analysis of an OpenAI interview: how GPT-5.5's multimodal creativity breaks new ground, and how Codex multi-agent workflows are reshaping software development — from executor to director.

GitHub Trending July 6: Agent skill ecosystem explodes with taste-skill, marketingskills, dotnet/skills; multi-Agent orchestration matures; privacy-first projects thrive.

A deep dive into Claude Code's core strengths: agentic coding, full project context, and auto-debugging — compared against Cursor, Trae, and Codex to help developers choose the best AI coding tool.
GPT-5.6 Sol Deep Dive: Major Upgrades …
OpenAI previews GPT-5.6 Sol, featuring major upgrades in coding, scientific research, and cybersecurity alongside its most advanced safety stack yet.

GitHub Trending July 4: The AI Agent ecosystem explodes across specs, frameworks, and apps — from agentskills to Vibe-Trading, a full Agent tech stack emerges.

Learn how to use OpenAI Codex Skills to auto-organize deep learning plug-and-play modules, including paper figure location, code extraction, verification, and Feishu doc integration.

In-depth comparison of Claude Code, Cursor, and Codex AI programming tools, with practical guidance on AI Coding principles and Vibe Coding methodology to boost development efficiency.

Deep analysis of Vibe Coding's limitations, comparison of Claude Code vs Codex, and a three-layer AI engineering methodology for progressing from casual AI coding to enterprise-grade development.

A systematic breakdown of the six-stage AI programming learning roadmap, from zero-code start to mastering Cursor and professional tools, methodology frameworks, advanced patterns, and project practice.

CodeGraph is a 50K-star open-source tool that builds a code knowledge graph so AI coding assistants can locate code instantly—cutting Token usage by 47%, boosting speed by 22%, all running 100% locally.

June 2026 GitHub AI trends: Agent ecosystem middleware tools surge — PM Skills, Agent Reach, Graphify, and Skill Spectre signal the Agent middleware era.

A deep dive into Pi, a minimalist AI coding Agent framework covering multi-model support, extensions, skill loading, and hands-on custom extension building with model mixing strategies.

Learn how to build a multi-Agent AI team with the HAMAS framework: 5 role configurations, Skill mechanisms, gradient model scheduling, and solutions for AI hallucination and deception.

A complete guide to OpenAI Codex covering installation, CLI interaction, agents.md design, Rules governance, MCP protocol integration, and multi-agent collaboration, with a hands-on RAG customer service project.

In-depth review of OpenCode, an open-source AI coding assistant. Covers its three-layer architecture, setup, building a to-do app, and model comparisons with DeepSeek Flash and more.

Learn how to use CLI Proxy API (CPA) to aggregate Claude, DeepSeek, Grok, and Gemini models into OpenAI Codex via VPS deployment, Docker setup, and Codex++ integration.