XBSTACK / AI ENGINEERING

Production AI
Agent Systems

Architecture, tools, memory, evaluation, security and deployment for AI Agents that must operate beyond a demo.

Related Resources

Vercel AI SDK 7 interrupted streams, Cloudflare 524 boundaries, message persistence, and idempotent tool-call recovery - XBSTACK

Vercel AI SDK 7 Migration: Interrupted Streams, Cloudflare 524 Boundaries, and Tool-Call Recovery

AI技术
2026-07-21
深度阅读
需 20 分钟
2026 AI agent framework selection across LangGraph, AI SDK 7, Google ADK, Microsoft Agent Framework, AutoGen, and CrewAI - XBSTACK

AI Agent Framework Guide 2026: LangGraph, AI SDK 7, Google ADK, and Microsoft Agent Framework

AI技术
2026-04-24
深度阅读
需 12 分钟
Division of labor and complete workflow for ChatGPT Work, Chat, and Codex in a real website task - XBSTACK

What’s the Difference Between ChatGPT Work, Chat, and Codex? I Ran a Real Website Task to Find Out

AI技术
2026-07-13
深度阅读
需 11 分钟
GPT-5.6 Tested in Real Projects, Content Creation, and Website Data Analysis - XBSTACK

GPT-5.6 Real-World Test: What Changed in an Astro, Content, and Analytics Workflow

AI技术
2026-07-10
深度阅读
需 18 分钟
AI Agent memory retrieval architecture with structured lookup, vector recall, re-ranking and prompt assembly - XBSTACK

AI Agent Memory Retrieval Architecture: Hybrid Search, Re-ranking, Freshness and Conflict Resolution

AI技术
2026-07-16
深度阅读
需 15 分钟
Practical Guide to AI Agent Memory Systems: Memory Layering, User Isolation, Forgetting Mechanisms, and Long-Term State Management - XBSTACK

Practical Guide to AI Agent Memory Systems: Memory Layering, User Isolation, Forgetting Mechanisms, and Long-Term State Management

AI技术
2026-04-24
深度阅读
需 9 分钟
Best AI Agents for CRM Automation 2026: Sales Leads, Customer Follow-up, CRM Data, and Automation Selection Framework - XBSTACK

2026 Guide to Selecting CRM Automation AI Agents: Lead Scoring, Sales Follow-up, and Data Governance

AI技术
2026-05-14
深度阅读
需 13 分钟
Comparison of Engineering Selection for MCP, Function Calling, and API Gateway - XBSTACK

What is the difference between MCP and Function Calling? Real-world project selection, API Gateway, and compositional architecture.

全栈工程
2026-05-24
深度阅读
需 9 分钟
Differences between MCP and Semantic Kernel, Combined Architecture, and Enterprise Project Selection - XBSTACK

MCP vs. Semantic Kernel: Protocol, Agent Orchestration, and Enterprise Project Selection

MCP 协议
2026-01-16
深度阅读
需 5 分钟
n8n Gmail Email Summary Automation Workflow: AI Extracts To-Dos and Writes to Google Sheets - XBSTACK

n8n Gmail Email Summary Automation: AI Extracts Action Items and Writes to Google Sheets

AI技术
2026-05-30
深度阅读
需 6 分钟
Cover image for the Claude Sonnet 5 AI Coding Agent hands-on test optimizing oversized Astro website chunks - XBSTACK

Claude Sonnet 5 Hands-On: Full Process for Optimizing Oversized Astro Chunks

AI技术
2026-07-08
深度阅读
需 10 分钟
Diagram of the three-layer architecture of MCP, Function Calling, and API Gateway in AI Agent tool integration - XBSTACK

How to Configure MCP, Function Calling, and API Gateway: A Three-Layer Architecture for AI Agent Tool Integration

MCP 协议
2026-07-07
深度阅读
需 9 分钟
AutoGen Hands-On Tutorial: Multi-AI Agent Conversational Collaboration, Tool Invocation, and Production Deployment Boundaries - XBSTACK

AutoGen Hands-On Tutorial: Multi-AI Agent Conversational Collaboration, Tool Invocation, and Production Deployment Boundaries

AI技术
2026-04-25
深度阅读
需 11 分钟
The 2026 Full-Stack Guide to AI Agents: A Production Roadmap from Architecture and Tool Use to Evaluation and Deployment - XBSTACK

The 2026 Full-Stack Guide to AI Agents: A Production Roadmap from Architecture and Tool Use to Evaluation and Deployment

AI技术
2026-05-07
深度阅读
需 10 分钟
2026 AI Agent Development Handbook: Protocol Selection, Tool Calling, State Management, and Multi-Agent Deployment Checklist - XBSTACK

2026 AI Agent Development Handbook: Protocol Selection, Tool Calling, State Management, and Multi-Agent Deployment Checklist

AI技术
2026-04-12
深度阅读
需 10 分钟
AI Agent Observability in Practice: Monitoring Traces, Tool Calls, State, Cost, and Quality - XBSTACK

AI Agent Observability in Practice: Monitoring Traces, Tool Calls, State, Cost, and Quality

AI技术
2026-04-27
深度阅读
需 13 分钟
Practical Guide to AI Log Analysis Agents: Anomaly Clustering, Root Cause Localization, Runbook Matching, and Incident Review Loops - XBSTACK

Practical Guide to AI Log Analysis Agents: Anomaly Clustering, Root Cause Localization, Runbook Matching, and Incident Review Loops

AI技术
2026-05-14
深度阅读
需 12 分钟
Practical Guide to AI Contract Review Agents: Clause Extraction, Risk Annotation, Version Comparison, and Legal Review Workflows - XBSTACK

Practical Guide to AI Contract Review Agents: Clause Extraction, Risk Annotation, Version Comparison, and Legal Review Workflows

AI技术
2026-05-11
深度阅读
需 13 分钟
Practical Guide to AI Research Agents: Paper Retrieval, Evidence Extraction, Citation Auditing, and Research Knowledge Base Integration - XBSTACK

Practical Guide to AI Research Agents: Paper Retrieval, Evidence Extraction, Citation Auditing, and Research Knowledge Base Integration

AI技术
2026-05-02
深度阅读
需 11 分钟
Practical Guide to AI Expense Approval Agents: Policy Validation, Budget Control, Approval Matrices, and Audit Loops - XBSTACK

Practical Guide to AI Expense Approval Agents: Policy Validation, Budget Control, Approval Matrices, and Audit Loops

AI技术
2026-05-21
深度阅读
需 13 分钟
Practical Guide to an AI Agent for Procurement Invoice Matching: 3-Way Match (PO, Goods Receipt, Invoice) and Exception Approval Workflow - XBSTACK

Practical Guide to an AI Agent for Procurement Invoice Matching: 3-Way Match (PO, Goods Receipt, Invoice) and Exception Approval Workflow

AI技术
2026-05-20
深度阅读
需 12 分钟
2026 AI Development in Practice: Deconstructing the Physical Architecture of the LangChain + Next.js Template - XBSTACK

2026 AI Development in Practice: Deconstructing the Physical Architecture of the LangChain + Next.js Template

AI技术
2026-01-18
深度阅读
需 3 分钟
LangGraph Memory and Checkpointing for Production AI Agents - XBSTACK

LangGraph Memory and Checkpointing: How Production-Grade AI Agents Save, Restore, and Audit State

全栈工程
2026-06-01
深度阅读
需 11 分钟
Production Governance for AI Agents: Evaluation, Observability, Deployment, Cost Control, and Human-in-the-Loop - XBSTACK

Production Governance for AI Agents: Evaluation, Observability, Deployment, Cost Control, and Human-in-the-Loop

AI技术
2026-06-25
深度阅读
需 14 分钟