2246 related articles
Alibaba Open-Sources Code Review Tool …
Alibaba open-sources code review tool open-code-review, using a hybrid architecture of deterministic rule pipelines and LLM Agents. Supports line-level comments, OpenAI/Anthropic APIs, battle-tested at Alibaba scale, written in Go, fully free and open-source.

Explore how the open-source project marketingskills injects CRO, SEO, and copywriting expertise into Claude Code and AI Agents, and how the Skills paradigm transforms AI into domain specialists.
Binary Coverage Analysis Without Sourc…
A deep dive into binary coverage collection without source code, covering INT3 breakpoint traps, page protection tricks, Intel PT hardware tracing, and AFL bitmaps for reverse engineering and fuzzing.

A systematic guide to Claude Code covering environment deployment, domestic model integration, six core systems (memory, multi-Agent, etc.), a full-stack ChatBot project, and eight design patterns from 510K lines of open-source code.

Hands-on review of Moonshot's open-source Kimi Code terminal AI coding tool, covering one-command installation, Ink framework architecture, VS Code plugin mode, and comparisons with Claude Code and Gemini CLI.
TutorialsDeep analysis of Claude Code's seven-layer architecture, ReAct loop core principles, and configuration-driven design. Source-level deconstruction of AI Agent mechanics with best practices.
TutorialsDeep dive into Claude Code's source code startup and bootstrap flow, from CLI entry's on-demand loading design and REPL startup to sentiment analysis and the Agent Loop prelude.
Product ReviewsIn-depth analysis of the feishu-claude-bridge open-source project: how to use Claude Code for AI programming directly in Feishu, covering architecture, deployment, and use cases.
TutorialsClaude Code beginner tutorial covering installation, common issues, low-cost alternatives for budget users, and deep analysis of 8 Agent design patterns revealed by the 510K-line source code leak.

GPT-5.6 SoulX High tops the frontend dev leaderboard at 1636 points with Agent Arena rank #2. Hands-on tests of portfolio pages and mystery games reveal its task decomposition and self-correction capabilities.

Deep dive into Harness Engineering: why AI Agents need memory management, durable execution, guardrails & approvals to go from demo to production.

Deep dive into Harness Engineering: why AI Agents need memory management, durable execution, guardrails & approvals to reach production. Based on Scott Moss's workshop.

An in-depth analysis of the barriers Chinese users face accessing ChatGPT, an honest assessment of third-party mirror platforms' risks, and safer alternatives including official APIs and domestic LLMs.

Explore Harness Engineering: the next evolution beyond context engineering for AI programming. Learn how to build enterprise-grade Skill systems and deliver real projects with mid-tier models.

A developer used Anthropic's Opus 5 model to build a No Man's Sky-style space exploration game in one day using Blender MCP and sub-agents. Deep dive into the technical architecture and industry implications.

Microsoft launches enterprise AI security tools claiming superior performance. This deep analysis examines core capabilities, ecosystem advantages, and risks to guide enterprise security decisions.

A systematic breakdown of the AI LLM learning roadmap covering prompt engineering, AI Agent development, RAG knowledge bases, model fine-tuning, and hands-on projects for beginners.

Deep dive into Agent skill routing: comparing pure model vs. pure retrieval approaches, with a detailed two-stage layered architecture balancing accuracy, latency, and cost.

Build an enterprise RAG knowledge base Q&A system using Spring AI 2.0, Cursor AI programming, Ollama local deployment, and Redis vector storage. Runs on just 4GB VRAM.

A deep dive into AI Agent Skills: understand the core concepts and technical implementation through the four key elements — SKILL.md, references, scripts, and assets — and learn how Skills differ from prompts.