101 related articles

Deep dive into Hermes Agent v2026.7.7.2: fixes for Cron silent kills, TUI context loss, and config corruption (3 P0 bugs), plus 60x faster WhatsApp install.

A deep dive into Databricks Agent Framework (Mosaic AI): unify LangGraph/OpenAI agents via ChatAgent, log & evaluate with MLflow, version with Unity Catalog, and deploy Model Serving Endpoints for production AI agents.

Databricks tech lead Sandy shares a five-pillar framework for production-grade AI Agents—evaluation, observability, data foundation, orchestration, and governance—with a £85K retail banking failure case to bridge the demo-to-production gap.

An in-depth walkthrough of deploying Dify 1.8.0 and building applications: three-step Docker deployment, five app types compared, and Workflow vs Chatflow use cases—build enterprise AI apps with zero code.

A detailed guide to Dify, the open-source LLM app development platform, covering its core features and full local deployment via VMware + Ubuntu + aaPanel + Docker. Supports 100+ models like DeepSeek and ChatGPT to build enterprise AI apps fast.

A tech enthusiast decoded an obfuscated Bash script on a Uniqlo T-shirt. This article breaks down the reverse-analysis approach, obfuscation tricks, and safe-execution principles.

Andrew Ng partners with JetBrains on a new course systematically teaching Spec-Driven Development. By writing high-quality specs, developers can precisely control AI coding agents, eliminate context decay, and boost intent fidelity.

A YouTuber spent 24 hours learning Rust from zero with no AI tools, mastering ownership, borrowing, and a game engine to build a complete Brick Breaker game. Full account of every challenge.

An in-depth look at the division of labor between TypeScript and Zod in AI Agent development: TypeScript handles compile-time static type checking, Zod handles runtime validation, forming a dual defense.

An in-depth look at why TypeScript is the top choice for AI Agent development: covering Zod structured output validation, LangGraph's graph state machine design, and a full learning path for front-end devs transitioning to full-stack AI.

A plain-language guide to how Python web scrapers work: from HTTP requests and responses, HTML tag parsing, to the complete three-step data scraping workflow, with a focus on the three legal red lines and compliance advice.

An in-depth analysis of LangGraph's core concepts: short-term and long-term storage mechanisms, its differences from LangChain, the MIT open-source license, and private deployment solutions for enterprise Agent development.

Use Codex without a ChatGPT account! This guide explains a China direct access solution for integrating the DeepSeek API via the Codex++ management tool.

Why do C programmers keep creating readability disasters? An in-depth look at macro abuse, fancy pointer tricks, and over-nesting—and how coding standards, static analysis, and code review protect maintainability.

Can't make pure AI work? This guide explores the Semi-AI approach to API automation testing, covering key challenges, enterprise framework design, and how AI and frameworks work together for maximum impact.

A full walkthrough of AI-assisted reverse engineering of Taobao's mtop Sign signature: packet capture, parameter classification, MD5 identification, and scraper code generation.

Two methods for connecting external models to Codex: manually configure keys via relay services, or use the CC Tool to auto-bridge GPT, DeepSeek, and more. Covers auth/config files, CC Tool usage, and multi-model switching.

A detailed guide for Chinese developers on configuring the Codex CLI AI coding tool with GPT-5.5 via API proxies, covering setup steps, efficiency gains, and security risks.

Learn how to write controllable, maintainable AI code using the Harness methodology with Claude Code. Covers SDD, Agent orchestration, and enterprise-grade AI programming practices.

A deep dive into MIT 6.0002 Lecture 1: the knapsack problem, brute-force complexity, Python greedy algorithm implementation, and the local optimum trap.