AI Field Guide for developers
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About this app
AI is everywhere in software now. Whether you're wiring up an API, reviewing a teammate's model code, or just trying to keep up with what's actually going on — you need a real foundation, not a glossary of buzzwords.
This app covers the AI and ML concepts that matter for engineers who ship software. Three learning levels take you from the basics (what actually is an LLM?) through to how attention mechanisms work and what a production ML
pipeline looks like. Work through them in order or jump straight to what you need.
Inside the app:
A searchable glossary of 24 core terms — transformers, embeddings, RAG, fine-tuning, gradient descent, and more. Each one goes beyond a quick definition to explain why it matters and how it connects to what you already know.
Flashcards for the concepts that don't stick. Good for drilling before an interview or just keeping things fresh.
A developer guide on actually working with AI tools day-to-day. How to review AI-generated code like you would any PR. Where to trust it, where not to. How to write prompts that don't waste your time.
15 interview questions covering the topics that come up when companies hire for AI-adjacent engineering roles, with on-device Gemini Nano feedback on your answers — nothing leaves your phone.
No fluff. No "AI will change everything" pep talks. Just the technical foundation you need to do the work.
This app covers the AI and ML concepts that matter for engineers who ship software. Three learning levels take you from the basics (what actually is an LLM?) through to how attention mechanisms work and what a production ML
pipeline looks like. Work through them in order or jump straight to what you need.
Inside the app:
A searchable glossary of 24 core terms — transformers, embeddings, RAG, fine-tuning, gradient descent, and more. Each one goes beyond a quick definition to explain why it matters and how it connects to what you already know.
Flashcards for the concepts that don't stick. Good for drilling before an interview or just keeping things fresh.
A developer guide on actually working with AI tools day-to-day. How to review AI-generated code like you would any PR. Where to trust it, where not to. How to write prompts that don't waste your time.
15 interview questions covering the topics that come up when companies hire for AI-adjacent engineering roles, with on-device Gemini Nano feedback on your answers — nothing leaves your phone.
No fluff. No "AI will change everything" pep talks. Just the technical foundation you need to do the work.
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Safety starts with understanding how developers collect and share your data. Data privacy and security practices may vary based on your use, region, and age. The developer provided this information and may update it over time.
This app may share these data types with third parties
App activity and App info and performance
No data collected
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Data isn’t encrypted
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About the developer
Nathan walker hays
greenbizkit33@gmail.com
1064 Old Greenville Rd
Fayetteville, GA 30215-7043
United States
