64 related articles

Hands-on benchmark of GPT-5.6's three models — Sol, Terra, and Luna — covering frontend, math, and long-horizon agentic tasks. Full scores, category breakdowns, and selection guidance vs. Fable 5 and Opus 4.8.

Want to become an Agent engineer? This article systematically covers three core skill tracks—LLM fundamentals, LangChain architecture development, and enterprise deployment—to help you avoid detours.

A systematic zero-basis learning path for AI Agent development, covering Python and LLM fundamentals, five core capabilities like task planning and RAG, and LangChain hands-on practice.

Halo is an open-source tool providing tamper-evident runtime evidence for AI agents, recording every action via hash chains and cryptography to solve auditing, compliance, and accountability challenges.

In-depth analysis of GPT-5.6 Ultra's sub-agent collaborative reasoning, the global rise of Chinese AI models, world-model evaluation gaps, and AI's real-world deployment challenges and bubble warnings.

GPT-5.6 launches Soul/Terra/Luna, with flagship Soul scoring 91.9% on Terminal Bench 2.1. This article breaks down the Ultra vs Max reasoning modes, three-tier pricing, and four hidden pitfalls to guide your technical selection.

Learn CrewAI's core concepts (Agent, Task, Process, Crew, Pipeline) and how to wrap a multi-Agent service with FastAPI. Covers GPT, Qwen, and Ollama local model integrations with real benchmark comparisons.

Cursor launches three major products: cloud agents on mobile, Origin — an agent-native Git platform challenging GitHub, and a custom foundation model with 10-20x compute. AI coding enters the Agent-First era.

OpenAI's official open-source plugin brings Codex into Claude Code for cross-model code review. Five core features including adversarial review and sub-agent delegation — with real risk warnings included.

Harness Engineering is becoming a must-have skill for AI agent developer roles. Learn the architecture, how top agent products use it, and how to practice with LangChain DeepAgents.

Deep dive into Kimi Work Agent cluster's three collaboration architectures, with a hands-on demo of 300 AI agents building a website in parallel, covering requirements breakdown, multi-Agent coding, and auto-deployment.

A comprehensive guide to LangGraph's core advantages, storage mechanisms, differences from LangChain, and private deployment options for building production-ready AI agents.

Cursor unveils three major updates: Cursor Mobile, Origin platform challenging GitHub, and a frontier in-house LLM trained from scratch. A deep dive into Cursor's strategy.

AI Loop Engineering is called a new programming paradigm, but is it truly revolutionary? This article analyzes its core principles, mathematical limitations, real-world details, and the hype behind it.

Learn how to build a full-stack World Cup app with OpenAI Codex without writing code, covering multi-session concurrency, MCP voice synthesis, Skill encapsulation, and scheduled task automation.

Anthropic accidentally leaked 500K+ lines of Claude Code TypeScript source via a Source Map misconfiguration, revealing its Coordinator multi-agent architecture, Kairos prediction system, and shadow rollback mechanism.

Claude Code lead Boris Cherny shares insights on 100% AI coding, ROI thinking frameworks, Loops automation, Fable model capabilities, and how engineers are shifting from coding to product intuition and system design.

Hands-on test of Claude Code's Workflow mode with 68 concurrent sub-agents. Covers setup, write-review separation, real concurrency results, and token costs.

Hands-on review of Codewell (formerly DeepSeek2E), the open-source terminal AI coding assistant with nearly 40K GitHub stars. Supports 25 LLM providers, local models at zero cost, and MIT license.

Deep dive into Claude Code's Dynamic Workflows: how multi-agent parallel collaboration enables 750K-line code migrations, repo-wide bug hunts, and pre-launch red team validation.