Part 0: LLM Engineering for Busy Builders — The Series Introduction
A lightweight, practical, and evolving series that demystifies real-world LLM engineering — one step at a time.
Updated: Mar 17, 2025 • 10:00 AM SGT A Quick Note on Companion Content: While this series covers LLM Engineering for Busy Builders, I've also crafted a dedicated Prompt Engineering Series that dives deep into the art and science of crafting effective prompts. Consider it a valuable companion for the core interaction layer of LLMs.
Why LLM Engineering?
Everywhere you turn today, someone's building with large language models. Chatbots, copilots, AI agents, assistants, knowledge workers — the possibilities seem endless.
And yet, when you peel back the layers, much of the real work isn't just about asking the LLM to "generate text". It's about engineering systems that are reliable, useful, safe, scalable, and practical.
That's where LLM Engineering comes in. This series is not about theoretical research or model training. It's about:
- How to design, build, and ship real LLM-powered applications (or at least what I learnt along the way educating myself about this).
- The full stack of tools, patterns, and decisions required.
- The tradeoffs and practical lessons that arise in the real world.
Our goal is to break this down into clear, easy-to-digest steps that help you build actual, useful LLM systems.
What This Series Is (and Isn't)
There's a lot of content out there on large language models — but most of it either stays too theoretical, or gets lost in deep technical detail too soon. We're taking a different approach here.
- Practical: We skip the math-heavy papers and academic jargon. Everything here is grounded in how you actually build LLM applications.
- Lightweight: Each post is bite-sized, focused on one topic at a time, so you can apply learnings without getting overwhelmed.
- Evolving: As we explore, experiment, and learn more, we'll keep refining these posts. Nothing is written in stone.
- Built Alongside Real Learning: This series reflects hands-on experience, real builds, and real-world projects happening right now.
You can think of this as LLM Engineering for Busy Builders.
Where We're Going
We'll walk step-by-step through the full journey of building real-world LLM applications. Here's our working roadmap — expect it to evolve as we go:
- What is LLM Engineering really?
- Model Choices: Open vs Closed vs Custom
- Prompting, Templates, and Chains
- Understanding Embeddings Simply
- Build Your First RAG in 3 Steps
- What Agents Actually Do (and Don't Do)
- How to Test and Evaluate LLM Apps
- Keeping LLMs Safe and Useful
- Lightweight Deployment Patterns
- Observability for LLM Applications
- Continuous Improvement & LLMOps
- The Road Ahead
Some topics may go deeper. Some may split into multiple parts. The goal is to build usable knowledge, not just finish a checklist.
Expect This to Change
LLM engineering moves fast. New techniques, tools, and patterns emerge almost every month. What feels like best practice today may evolve quickly as models improve, frameworks mature, and real-world usage uncovers better ways to build.
That's why this series is designed to be fluid. As we learn more, we'll update posts, add new sections, and refine earlier ideas. This isn't a static textbook—it's a living build log.
The goal is not perfection, but progress. We'll capture what works, highlight what breaks, and share both wins and failures along the way.
Let's get started.
The first real post kicks off with: Minimal LLM Engineering Setup (Busy Builders Edition)