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VanGong1999

VanGong1999/FDE

A Chinese-language knowledge base and study guide for the Forward Deployed Engineer (FDE) role, covering delivery methodology, enterprise AI deployment, and interview prep.

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What is it?

This repository is a Chinese-language knowledge base for the Forward Deployed Engineer (FDE) role, a customer-facing engineering position focused on deploying AI systems inside client organizations. It is organized into sections on role definition, delivery methodology (Discover, Design, Deploy, Review), enterprise AI topics such as RAG, agents, evaluation and production checklists, and interview preparation with company-specific guides.

Beyond the core guides, it includes industry case studies, curated reading notes from English-language FDE materials, reusable templates for discovery interviews, POC acceptance and go-live checklists, and a set of interview question banks. A concept course section covers roughly 170 interview-relevant topics, from tokens and RAG to MLOps, model serving and AI security.

The material is aimed mainly at backend or full-stack engineers moving into FDE work, with beginner-friendly learning paths also provided. The site is published via GitHub Pages.

Key features

  • 01Role guides comparing FDE with software engineer and solutions architect positions
  • 02Delivery methodology covering discovery, design, deployment and review
  • 03Practical notes on RAG, agents, evaluation and production readiness
  • 04Company-specific interview guides and question banks
  • 05Reusable templates for discovery interviews, POC acceptance and go-live

Use cases

  • Backend or full-stack engineers preparing to transition into an FDE role
  • Candidates preparing for FDE interviews at AI companies
  • Engineers newly joining a client-facing AI delivery team who need a workflow reference

Quick start

  1. 1

    Read the knowledge base online via GitHub Pages

  2. 2

    Pick a learning path (transfer engineer or beginner) from the guide

Things to know

  • The content is written in Chinese, so English-speaking readers may find it hard to use.
  • The license is not clearly specified (NOASSERTION), so reuse terms are unclear.

Topics

#ai-engineering#rag#llm-agents#interview-prep#career#deployment#knowledge-base#chinese

FAQ

What is FDE?
A Chinese-language knowledge base and study guide for the Forward Deployed Engineer (FDE) role, covering delivery methodology, enterprise AI deployment, and interview prep. This repository is a Chinese-language knowledge base for the Forward Deployed Engineer (FDE) role, a customer-facing engineering position focused on deploying AI systems inside client organizations. It is organized into sections on role definition, delivery methodology (Discover, Design, Deploy, Review), enterprise AI topics such as RAG, agents, evaluation and production checklists, and interview preparation with company-specific guides.
Is FDE free to use? What license does it have?
FDE is open source under the Other license. Check the license terms before using it in commercial products.
Is FDE still maintained?
Actively maintained. The last commit to FDE was on Oct 16, 2026.
What can I use FDE for?
Backend or full-stack engineers preparing to transition into an FDE role Candidates preparing for FDE interviews at AI companies Engineers newly joining a client-facing AI delivery team who need a workflow reference
How do I install FDE?
Read the knowledge base online via GitHub Pages Pick a learning path (transfer engineer or beginner) from the guide
Where can I get FDE?
The source code and installation instructions are on GitHub: https://github.com/VanGong1999/FDE

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