What do you want to do?
4 use cases
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Pick evaluation tools for a customer LLM app
Shortlist evaluation and observability tools for a customer's LLM or RAG app.
- Awesome Fde Resources
- Work and operations
- Intermediate
View prompt
Using the Tools section of the global-fde/awesome-fde-resources README, shortlist three evaluation tools for a <customer LLM app>. For each tool, state the feature match from its own repo README and the main gap. Verify each link opens to the named project before you report.
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Find a reference build for a customer workflow
Locate a working example in the Cases section that matches a customer's AI use case.
- Awesome Fde Resources
- Work and operations
- Beginner
View prompt
Read the Cases and reference implementations section of global-fde/awesome-fde-resources and pick the two entries closest to a <customer use case>. Output a table with project name, link, fit, and reuse notes. Verify the license stated in each linked project before recommending it.
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Harden a customer-facing agent before launch
Review an agent for reliability and prompt injection using listed guidance and tools.
- Awesome Fde Resources
- Work and operations
- Advanced
View prompt
Using the 12-factor-agents and snyk/agent-scan repos listed in global-fde/awesome-fde-resources, review the agent at <agent path or repo>. Produce a checklist where each principle or finding is marked pass, fail, or not tested. Verify that you scanned only targets the owner authorized.
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Plan an FDE skills path from the reading list
Turn the Getting started list into an ordered four-week study plan for a new FDE.
- Awesome Fde Resources
- Work and operations
- Beginner
View prompt
Read the Getting started section of global-fde/awesome-fde-resources and build a four-week study plan for a <role or background>. Output one resource per week with its link and a check question. Verify every link comes from that section.
How to use Awesome Fde Resources
- Check you have what it needs: A web browser and GitHub access; A target customer workflow or AI system to focus on; Setup for each linked tool, which the README does not describe.
- Open global-fde/awesome-fde-resources on GitHub and read the README and license.
- Open the Tools section of the README and list the evaluation and observability entries.
- Pick the tools that match the app type: RAG, agents, or general LLM.
- Open each candidate's GitHub page and check its README for the features you need.
- Write a one-page comparison against the customer's required metrics.
These steps come from our top use case, Pick evaluation tools for a customer LLM app, which also has a copy-paste agent prompt.
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About this repo
- Who it is forForward Deployed Engineers and teams delivering AI into customer workflows who need a vetted starting list.
- Why it is hot
- LanguagePython
- Sourcegithub.com/global-fde/awesome-fde-resources · Back to Hot repos
Requirements
- A web browser and GitHub access
- A target customer workflow or AI system to focus on
- Setup for each linked tool, which the README does not describe
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Questions about Awesome Fde Resources
What is Awesome Fde Resources?
A curated GitHub list of books, guides, case studies, tools, and opportunities for Forward Deployed Engineers working on production AI delivery. It is an open-source project on GitHub: https://github.com/global-fde/awesome-fde-resources.
Who is Awesome Fde Resources for?
Forward Deployed Engineers and teams delivering AI into customer workflows who need a vetted starting list.
What can I do with Awesome Fde Resources?
4 use cases so far, for example: Pick evaluation tools for a customer LLM app; Find a reference build for a customer workflow; Harden a customer-facing agent before launch. Each has steps and a copy-paste agent prompt.
What do I need to run Awesome Fde Resources?
A web browser and GitHub access; A target customer workflow or AI system to focus on; Setup for each linked tool, which the README does not describe.
What are alternatives to Awesome Fde Resources?
Other hot AI repos in Work and operations: AI Job Search, Solidcraft, Fastbrowse, Awesome AI Agent Platforms, Nautilo.
Is Awesome Fde Resources safe to run?
Deduped does not own, audit or vouch for it. Read the README and license, run it on your own systems first and review every command before you run it.