FDE Knowledge Wiki
This wiki is a small reference base for Forward Deployed Engineer study, interview prep, and portfolio development.
Use it to capture enough context to speak and build credibly. Keep notes short, practical, and connected to job listings or project work.
Core Thesis
Forward Deployed Engineering, in these listings, means customer-facing product engineering for messy real-world systems.
The recurring pattern:
- Understand the customer workflow.
- Identify where software, data, APIs, and AI can help.
- Deliver a working solution: an app, workflow, integration, automation, or prototype that can prove value in the customer's context.
- Make it usable in the real environment, including production constraints when the work is meant to be live.
- Troubleshoot with the customer.
- Feed the learning back into product, documentation, and reusable playbooks.
How This Wiki Is Organized
The glossary is for short definitions: terms that should be easy to recognize and explain quickly.
Study topics are for concepts to understand more deeply: technologies, architectures, methods, and vocabulary that support interview answers or project decisions.
Field patterns are for reusable FDE moves: customer-facing situations, discovery habits, implementation workflows, demo/scoping patterns, rollout patterns, and practical checklists.
Templates are starting points for new notes so the wiki stays consistent as it grows.
Recently Added
Use this section as a temporary intake log for new articles, glossary items, field patterns, and study topics. It is fine to periodically prune, reorganize, or promote items into the main indexes.
2026-06-23
New pages:
- Field pattern: Proof Of Value And Customer Migration
- Study topic: Developer Productivity AI
Glossary items:
- Field and delivery: Technical Discovery
- Field and delivery: Proof Of Value / POV
- Field and delivery: Customer Migration
- Field and delivery: Customer-Facing Technical Asset
- Applied systems: Developer Productivity
- Applied systems: Test Automation
- Applied systems: Data Migration
- Applied systems: Release Engineering
- Applied systems: Document Automation
- AI and data: AI Platform
- AI and data: MLOps
- AI and data: Conversational AI
- AI and data: Document AI
- Technologies and platforms: PostgreSQL / Postgres
- Technologies and platforms: Next.js
- Technologies and platforms: Databricks
- Technologies and platforms: Apache Spark
- Technologies and platforms: Supabase
- Technologies and platforms: HRIS / HCM
Local Pages
- Glossary: short definitions for recurring terms.
- Study Topics: deeper notes on concepts, tools, architectures, and methods.
- Field Patterns: reusable field moves, questions, checklists, and delivery patterns.
- Study Notes Template: template for adding a new study topic.