Where should a new reader start?
Start from AI Hub for engineering, Tools for working products, or About and Lens for the broader XBSTACK operating system.
XBSTACK is Xiaobai’s long-term asset system: improve capability through AI engineering, preserve methods in operating systems, validate ideas through product tools, and calibrate judgment through investing, reading and outdoor field work.
XBSTACK is no longer a small chronological blog. Start from the task you are trying to complete, then follow the relevant system path.
Start from the AI Hub, then choose Agent, MCP, LangGraph or reliable workflow automation.
Review protocol boundaries, permissions, portability and project-selection trade-offs.
Start with the n8n AI Starter Kit, then move through self-hosting, queues, webhooks and retries.
Use Search Console, SEO, GEO, UTM attribution, 404 recovery and product conversion as one system.
Open AI Finance, Compound Calculator, Lunest, UTM Builder or reusable templates.
The AI mainline comes before the article archive. Choose a system-building intent, then move into implementation and production constraints.
The central map for Agent Engineering, MCP, Workflow, AI Tools Lab and Local AI.
Architecture, memory, RAG, evaluation, HITL and multi-agent collaboration.
MCP servers, OAuth, allowedRoots, permission isolation and tool-call auditing.
n8n self-hosting, queues, webhooks, credentials, retries and production operation.
Real-task tests for models, coding tools, search, multimodal systems and developer workflows.
iPhone, Android, Core ML, ONNX, llama.cpp, privacy, heat and latency constraints.
I tested Kimi K3 Max on a real Astro project and added the subscription pause, Kimi Code 0.26/0.27/0.28 changes, the 1M-context plan requirement, and model-switch cache behavior. Its cross-file analysis is strong, but production decisions still need human review.
Move from article consumption into analysis, calculation, product use, reusable templates and measurable distribution.
Extract financial-report evidence, risk factors and structured metrics for human review.
Model principal, recurring contributions, returns, inflation and long-term scenarios.
The independent sleep recovery product and its global release path.
Generate consistent campaign links for community, newsletter and content distribution.
Reusable structures for n8n, MCP, Agents, prompts and content operations.
A sleep recovery application being prepared for global iOS and Android release, covering email sign-in, membership checks, audio content, weather and recovery workflows.
Production engineering for n8n, MCP, LangGraph and self-hosted infrastructure, from scripts and workflows to retries, state, observability and governance.
A personal infrastructure layer for storage, notes, local AI and automation, designed around maintainability, rollback and data ownership.
The compound calculator, AI finance analyzer and reading system turn vague judgment into reviewable, measurable and improvable decisions.
AI articles are organized by system-building paths: Agent for architecture, LangGraph for state orchestration, MCP for protocol boundaries and Workflow for reliable automation.
Agent architecture, planning, memory, tool use and production implementation.
State isolation, checkpointing, human approval, subgraphs and trace auditing.
Model Context Protocol, server security, OAuth and tool permission boundaries.
n8n, self-hosting, webhooks, queue mode, Redis workers and failure recovery.
Document intelligence, PDF table extraction, RAG integration and knowledge agents.
Evaluation, observability, deployment, governance and cost guardrails.
Framework and protocol decisions across LangGraph, CrewAI, AutoGen and MCP.
Service deployment, SQLite/Postgres, Cloudflare, NAS and self-hosted infrastructure.
Latest publish date: 07/21/2026
FAQ
Start from AI Hub for engineering, Tools for working products, or About and Lens for the broader XBSTACK operating system.
No. It is an independent developer asset system connecting AI engineering, products, growth, investing, reading and direct outdoor experience.
The site moves readers from useful articles into AI Finance, Compound Calculator, Lunest, topic hubs, public experiments and measurable distribution.
Validating bilingual publishing, layout parity and production content governance
Building production MCP, LangGraph and n8n reliability guides
Testing local model deployment across iOS, Android and HarmonyOS
Benchmarking agent orchestration, recovery and observability paths