Artificial Intelligence

A 628-Document Agent Guide Drops WorkBuddy, Coze, and Backend Engineering Into One Path

By AI架构师汤师爷 · Aug 27, 2026

Read original on juejin.cn ↗ Google Translate ↗ Alt translation

Most Agent tutorials stop at a demo. This guide connects the missing middle: how to take an Agent from a chat window into a stable, engineered system that can call real APIs, survive production load, and be debugged when it breaks.

Summary

A new open-source repository organizes Agent learning into three connected stages: using WorkBuddy to automate local desktop tasks like invoice archiving and meeting minutes, building intelligent agents with Coze through prompts, knowledge bases, plugins, and workflows, and then hardening those agents for business systems with 628 documents covering databases, middleware, caching, and application architecture. The guide is designed to be used out of order — pick a task you face today, run through it, and backfill concepts only when you hit a gap. It includes dedicated content-production workflows for self-media creators and separate entry points for office workers, developers, and architects. The project is MIT-licensed, served as a VuePress site with dark mode and mobile support, and maintained on GitHub for continuous updates and community contributions.

Takeaways

— The guide contains 23 WorkBuddy tutorials that go beyond feature introductions into real tasks: image organization, invoice archiving, meeting minutes, sales analysis, PPT generation, scheduled emails, and remote phone control.

— A separate content-production track covers knowledge-base retrieval, topic selection, outlines, article review, Xiaohongshu posts, and 60-second video scripts.

— The 37 Coze tutorials start with AIGC and large-model basics, then move through prompts, plugins, knowledge bases, memory, cards, workflows, and publishing channels, ending with case studies in content rewriting, data analysis, hotspot monitoring, and video production.

— The 628 Markdown documents span programming, design patterns, MySQL, Redis, Elasticsearch, frameworks, middleware, business architecture, application architecture, system case studies, and development standards.

— The learning path is non-linear: office workers can jump straight into WorkBuddy case studies, developers can start with Coze and then pull engineering topics on demand, and beginners can begin with a single concrete task rather than reading concepts in sequence.

— The project is MIT-licensed, built on VuePress 2, Vue 3, Vite, and TypeScript, and accepts community Issues and Pull Requests for ongoing maintenance.

Conclusions

Agent tutorials online are abundant but fragmented — one teaches prompts, another teaches workflows, and they rarely connect into a complete build-run-harden sequence. This guide explicitly addresses that fragmentation by linking desktop automation, agent construction, and backend engineering into one repo.

The guide's structure encodes a pedagogical opinion: completing one real task teaches more than reading ten conceptual articles. It pushes task-first learning over linear curriculum consumption, which matches how most developers actually pick up new tools.

By including 628 backend-engineering documents alongside Agent-specific tutorials, the project makes an implicit claim that production Agent work is bottlenecked less by prompt design and more by standard software-engineering gaps — databases, caching, message reliability, and system observability.

Concepts & terms

WorkBuddy

An AI agent that operates inside a user-authorized workspace: it reads local files, understands task requirements, calls tools to process materials, and writes results back to specified directories. With connectors, it can also access external services like Tencent Meeting and email.

Coze

An agent-building platform where users define personas, rules, prompts, plugins, knowledge bases, memory, workflows, and publishing channels to create intelligent agents that execute multi-step tasks automatically.

Skill (in WorkBuddy context)

A reusable, packaged sequence of steps that WorkBuddy can execute for a specific task. Once a manual task is successfully run through, its steps can be organized into a Skill for repeated use on similar work.

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