260 related articles

Apple has formally sued OpenAI for industrial espionage, alleging systematic poaching of Apple employees to extract product secrets. Former 25-year Apple exec Tang Tan now leads OpenAI hardware. ~400 Apple employees have joined OpenAI.
AI Coding Agents Have Amnesia — An Ope…
Tired of AI coding agents forgetting everything? Explore an open-source SSH-synced memory system that lets Cursor, Claude Code, and other agents retain project context across sessions and devices — no cloud required.
ContextVault: Building a Shared Memory…
ContextVault builds a shared memory layer for team AI collaboration, tackling fragmented AI context and knowledge silos. Explore its technical positioning, use cases, and challenges in context engineering.

Spring AI is Java's answer to LangChain — offering unified multi-model APIs, structured output, RAG, Tool Calling, and MCP protocol support for enterprise LLM development.

Agent loops burning money, bills spiking unexpectedly? This article breaks down a traceable multi-agent system covering loop detection, behavior classification, cost prediction, and self-healing.

Can small local models (1.5B–3B) become software domain experts? This article breaks down CPT, SFT, RAG, and Agent architectures, with a layered RAG-centric design for CPU-only local deployment.

Stop using Claude Code as a chatbot. Here are 3 Skills for test engineers — bug report generator, code analyzer, script builder — configured once, used forever.

OpenAI's GPT Live introduces full-duplex voice architecture supporting simultaneous listen-and-speak, real-time translation, and separated foreground/background reasoning. A deep dive into its tech, use cases, and safety boundaries.
Deep Dive into AI Agent Skill Design: …
A deep dive into Skill design philosophy from Anthropic's Claude Code team and Perplexity's Agent team, covering the Tax Test, Gotchas Flywheel, progressive disclosure, and Eval-First practices for building high-quality AI Agent skill systems.

Sending hundreds of resumes with no response? This article breaks down the core pain points in today's tech job market — ATS filtering, spray-and-pray fatigue, neglected referral channels — and offers actionable strategies to break through.
AI Costs Out of Control: Real-World St…
More enterprises are finding AI operational costs spiraling out of control. This article dissects token billing traps and blind flagship-model use, and maps out cost-reduction strategies like model routing, open-source self-hosting, and semantic caching.

A hands-on test of MiniMax as an AI Agent brain using the Hermes V0.18 framework: fast inference, low cost, stable long tasks—but clear flaws in complex reasoning and tool calling. Learn its three strengths, three weaknesses, and best-fit workflows.
Reverse-Engineering Web Apps: A New Ap…
Explore a new approach to AI Agent tool integration: reverse-engineering web apps to turn API-less pages into callable Agent tools, with analysis of MCP synergy and challenges.

Based on Fireship's review, an in-depth look at GPT-5.6 Sol's Ultra Mode multi-agent parallelism, its 91.9% Terminal Bench score, and how it differs from Claude Fable in cost, speed, and precision.

FanDuel pushed a Bryce Harper-endorsed betting video to a problem gambler, exposing the ethical dilemma behind sports betting platforms' precision marketing. When athlete influence meets addictive products, who bears the responsibility?

An in-depth analysis of AI agent development based on Langchain.js—comparing workflow agents and Agent Loops, deconstructing the TypeScript implementation path of an OpenClaw-like engine, covering structured output, MCP, and LangGraph.

A systematic breakdown of the AI agent development learning path, covering four stages: fundamentals, RAG knowledge bases, tool use, multi-agent collaboration, and hands-on projects.

Knowing how to call an API doesn't make you an AI engineer. This article breaks down the complete skill structure of an AI application engineer, covering Python fundamentals, LLM fine-tuning, Agent development, and enterprise projects.

An in-depth guide to building an AI-driven second brain with Obsidian + Hermes Agent. Covers living files, VPS deployment, core memory mechanisms, and skill visualization.

How you use AI determines whether it's just a gimmick. This article breaks down three real business scenarios showing how context engineering turns Claude from a hallucinating toy into an operations partner saving 5-10 hours a week.