279 related articles

AgentScope 2.0 by Alibaba's Tongyi Lab delivers six major upgrades: typed event streaming, dangerous instruction interception, human-in-the-loop, concurrent execution, workspace system, and agent-as-a-service for production-grade multi-agent development.

A comprehensive guide to LangChain: core concepts, RAG applications, Agent development, version selection (0.3/1.0), and career opportunities for Java/Python developers entering LLM development.

A deep dive into Spring AI 2.0: provider-agnostic APIs, RAG with vector databases, and how Java developers can build LLM apps using the Spring ecosystem.

Coze vs Dify: a deep-dive comparison covering deployment, data security, and ease of use. Find out which AI agent platform suits individual developers vs. enterprises.

Zer0Fit wraps Google's TabFM and TimesFM foundation models as MCP servers, letting users run classification, regression, and time series forecasting through a local LLM chat interface — no ML code required.

An in-depth look at LangChain's core value: the three limitations of LLMs, unified model interfaces, modular architecture, configuring the DeepSeek API, and understanding the SystemMessage/HumanMessage/AIMessage/ToolMessage system to build a foundation for Agent development.
Karp Speaks Bluntly: Where Does the An…
Palantir CEO Alex Karp voices what enterprise leaders really feel about AI: the gap between expectations and reality, vendor disappointment, and unclear ROI. A deep analysis of the roots of CEO anxiety and the industry's pivot from hype to value validation.

A deep dive into the five genuinely tough challenges of production MLOps: fault-tolerant training on Spot instances, cross-team GPU scheduling, data reproducibility, model observability, and inference cost optimization.

Anthropic's Claude is bidding farewell to its "unlimited use" strategy, shifting toward tiered billing and usage management. This article explores the compute cost logic behind it, the impact on heavy users, and multi-model strategies.

How can you prepare efficiently for a Java backend interview? This article breaks down the core methodology of "process-driven interview engineering," covering resume optimization, understanding principles, scenario analysis frameworks, and production troubleshooting.

Go beyond basic prompt usage and systematically master Cursor's core features: Composer multi-file editing, Codebase semantic search, and Rules configuration.

Build production-grade AI Agents with a pure Go stack using ByteDance's Eino framework. A deep dive into seven core capabilities: multi-Agent orchestration, long-task execution, command approval, RAG, MCP, Skills, and database reporting.

Deep dive into the three-layer architecture of AI persistent memory systems—storage, management, and retrieval—with an in-depth comparison of Mem0, Zep, and ContextNest to help developers choose the right memory solution for AI Agents.

Starting from the three limitations of LLMs, this guide systematically explains LangChain's core positioning, environment setup, API key prep, model init, and the message system. Learn init_chat_model and AIMessage/HumanMessage/SystemMessage.

Does Claude Code always give irrelevant answers? This article breaks down 4 core Skill plugins: Project Context Engine, PRD Requirements Translator, Code Review tool, and Daily Report Generator—showing you how to transform Claude Code from a money-burner into a true AI coding assistant.

A step-by-step guide to installing Claude Code locally on Windows and swapping its underlying model for the DeepSeek API—enabling low-cost AI coding with no VPN required. Covers Node.js setup, Claude Code config, and getting a DeepSeek API Key.

Claude Sonnet 4 returns to Cursor, topping CursorBench while carrying the highest cost per task. A deep dive into performance vs. cost trade-offs for AI coding tools.

Microsoft SQL team's major updates: Azure SQL adds AI embeddings and dynamic data masking, Fabric SQL gets a Migration Assistant and Fabric Apps, SQL Server CU5 brings memory improvements, SSMS adds a SQL Formatter and Agent mode, and DP-800 certification is now open.

Pylon Sync is an "Agent-First" full-stack realtime framework that treats AI Agents as first-class design citizens, reducing coding errors via strong conventions.

As Claude Code, Cursor, and Codex enter enterprises at scale, policy enforcement guardrails are becoming critical. A deep dive into AI coding tool security governance, cross-platform compliance, and enforcement mechanisms.