About The F.I.R.S.T. Guild
Foundations Inform Rigorous Systems Thinking.
The Philosophy
Most courses teach you the "what." We obsess over the "why." Before you write a line of Python, you understand number systems. Before you touch a database, you've built data structures from scratch in C. There are no shortcuts here because shortcuts create gaps, and gaps collapse under pressure.
The goal is simple: produce engineers who can thrive with AI tools and survive without them. Not people who copy-paste from ChatGPT — people who can look at AI-generated code and know exactly where it went wrong.
This takes 18–28 months. Not because we're slow, but because this is how long it takes to actually learn computer science instead of just learning to code.
The Approach
First Principles
Concepts are built from the ground up. Before Python, there's math. Before C, there's architecture. Before databases, there's data structures.
Cohort Learning
Students progress together, collaborate, review each other's work, and build community. Cohort formats drive 40-80% completion rates vs 5-15% for self-paced.
Verified Knowledge
The Compendium creates a tamper-evident record of everything a student does. Certificates aren't claims — they're evidence.
The Instructor
Rajashekhar Sunkara
I built this entire thing — the curriculum, the platform, the teaching. I've taught ~300 undergrad engineering students across CS and AI, and the one pattern I kept seeing was this: students who skipped fundamentals always hit a wall later. So I designed a program that doesn't let you skip anything. Every phase exists because the next one needs it.
The Name
It's not just an acronym — it's the whole teaching philosophy in five words. You can't think in systems if you don't have rigor. You can't have rigor if you don't understand the foundations. Everything builds on something else.