#prompt engineering services
1479 related articles
·4 min
Microsoft Agent Framework in Practice: Building Enterprise-Grade AI Agents with .NET
A deep dive into Microsoft Agent Framework for building enterprise AI agents with .NET, covering tool calling, multi-agent orchestration, Qdrant RAG, and A2A, MCP, AGUI protocols.
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·2 min
Lovable Raises $400M Series C: Why the AI App Generation Space Is So Frenzied
AI app generation platform Lovable closes $400M Series C. We analyze its positioning, differentiation from Cursor and competitors, why capital keeps betting on AI coding, and debates over code quality and long-term moats.
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·6 min
Cloudflare OS Deep Dive: Security Architecture and Implementation Path of an Open-Source Enterprise Agent Platform
Deep dive into Cloudflare OS open-source enterprise agent platform, covering zero-permission security model, Gatekeeper governance, agent workspaces, application architecture, and model-agnostic strategy.
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·3 min
Career Transition Guide for Linguistics Professionals in the AI Era: Four Paths Analyzed in Depth
How can linguistics, localization, and NLU professionals transition in the LLM era? Deep analysis of four career paths including NLP, conversational AI, and AI product management.
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·3 min
DLLM: A Deep Dive into the Minimalist Local Coding Agent Built on llama.cpp
Deep dive into DLLM, a minimalist coding agent built directly on llama.cpp. Explore its zero-overhead architecture, local privacy advantages, use cases, and trade-offs vs. cloud AI coding tools.
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·3 min
AI Penetration Testing in Practice: Connecting Browser and Burp Suite via MCP Configuration Guide
Learn how to connect AI to Firefox browser and Burp Suite via MCP protocol for automated penetration testing, covering installation, JSON configuration, and practical tips.
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·3 min
LLM Learning Roadmap: A Three-Phase Practical Guide
A systematic LLM learning roadmap: from Python basics to LangChain & LlamaIndex frameworks, RAG, Agent, and fine-tuning core skills, plus hands-on projects to master LLM app development in 3 months.
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·3 min
Java + AI in Practice: Building an Enterprise-Grade Airline Intelligent Customer Service System
Learn how Java engineers can enter AI application development using Spring AI to build an enterprise-grade airline intelligent customer service system with RAG, Function Calling, and more.
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·3 min
Macro Open Source Project: Building an All-in-One Team Collaboration Platform with Shared AI Memory
Macro is an open-source team collaboration workspace built in Rust that integrates email, chat, docs, tasks, CRM and more through @-linking and shared AI memory to eliminate information silos.
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·2 min
NVIDIA Open-Sources Switchyard: An AI Task Scheduling Engine Built with Rust
NVIDIA-NeMo team open-sources Switchyard, a high-performance AI task scheduling engine built in Rust. Explore its technical positioning, why Rust was chosen, and its strategic role in the NeMo ecosystem.
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·3 min
Gemini Outputs a Stranger's Name: The Privacy Risks Behind AI Memory Features
Google Gemini suddenly output a user's mother's name in conversation, sparking AI privacy debate. We analyze causes from hallucination, memory features, and data crosstalk perspectives.
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·3 min
Java Backend to AI: A Practical Guide to Multi-Agent Collaboration with Spring AI
How can Java backend engineers transition to AI Agent development? This guide covers the evolution from Chat to Agentic AI, ReAct decision-making, MCP tool calling, and multi-Agent orchestration with Spring AI.
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·4 min
Getting Started with LangChain 1.3: Ecosystem Architecture & Agent Development Complete Guide
Complete guide to LangChain 1.3 ecosystem: four core modules (LangChain, LangGraph, DeepAgent, LangSmith), from setup to building your first Agent with tools, prompts & memory.
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·2 min
MCP Protocol Explained: The Unified Standard for AI Tool Calling and a Practical Guide
Deep dive into MCP (Model Context Protocol): how it unifies LLM tool calling standards, enables cross-model tool reuse, and decouples Agents from tools for efficient AI development.
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·4 min
6 Must-Do Tasks Before Deploying Enterprise AI Agents: A Complete Guide to Observability + Evaluation
A detailed guide to 6 critical engineering challenges for enterprise AI Agents before production, covering Langfuse-based tracing, observability, evaluation stages, prompt governance, and high-concurrency architecture.
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·5 min
Building Data Agents with BigQuery and ADK: AgentOps in One Line of Code
Deep dive into Google Cloud's complete stack for building data Agents with BigQuery and ADK, covering MCP Toolbox parameterized SQL, managed MCP servers, and Agent Analytics one-line observability.
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·2 min
ChatGPT Desktop Arrives on Linux: Developers Get a Native AI Coding Experience
OpenAI launches ChatGPT Linux desktop preview supporting ChatGPT, ChatGPT Work, and Codex. Linux developers gain native AI-assisted coding, code completion, and project integration capabilities.
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·3 min
Troubleshooting Guide: Comet Browser Can't Access LAN Devices After Update
Comet browser v151 can't access Plex, Proxmox & LAN services? Deep analysis of Chromium's Private Network Access policy changes with practical solutions including flags settings and HTTPS configuration.
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·4 min
MCP + Skill in Practice: A Guide to Building an Automated Enterprise Regulatory Risk Alert System
A detailed guide on building an automated enterprise regulatory risk alert system using MCP protocol and Agent Skill, covering data collection, six evidence thresholds, applicability judgment, actionable measures, and delivery via Feishu/email.
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·3 min
Claude Code Cross-Session Messaging Explained: No More Manual Relay Between Windows
Learn how Claude Code's cross-session messaging works—enabling direct communication between multiple windows without manual copy-pasting, boosting AI coding collaboration.
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