In today's world of rapid framework hype — Express one week, NestJS the next, then Gin, FastAPI, or Spring Boot — many developers build APIs without truly understanding why the systems behave the way they do. They copy-paste middleware chains, slap on JWT auth, throw in Redis for caching, and call it "production-ready."
But when things break at scale — race conditions appear, graceful shutdowns fail, observability is missing, or a simple misconfigured route leaks sensitive data — the cracks show. The fix isn't another tutorial; it's going back to first principles.
First principles thinking (inspired by thinkers like Aristotle and popularized by Elon Musk) means breaking complex problems down to their most basic, undeniable truths, then rebuilding upward. In backend engineering, this means:
- Starting with raw bytes on the wire (HTTP)
- Understanding how a single request flows through layers of your system
- Questioning every abstraction: Why do we need middleware? What problem does a request context solve? Why separate handlers from services?
- Building intuition for reliability, security, and performance before touching tools
This 32-day series follows exactly that path, based on the outstanding "Backend from First Principles" roadmap by Sriniously — one of the most logically sequenced, comprehensive, and principle-focused curricula available.
Over the next 32 days, we'll cover every core concept a serious backend engineer must master, explained in depth:
- Roadmap intro & high-level understanding
- HTTP protocol
- Routing
- Serialization and deserialization
- Authentication and authorization
- Validation and transformation
- Middlewares
- Request context
- Handlers, controllers, and services
- CRUD deep dive
- RESTful architecture and best practices
- Databases
- Business logic layer (BLL)
- Caching
- Transactional emails
- Task queuing and scheduling
- Elasticsearch
- Error handling
- Config management
- Logging, monitoring, and observability
- Graceful shutdown
- Security
- Scaling and performance
- Concurrency and parallelism
- Object storage and large files
- Real-time backend systems
- Testing and code quality
- 12 Factor App
- OpenAPI standards
- Webhooks
- DevOps for backend engineers
- (Final synthesis: Tying it all together into production systems)
Each daily article will answer three key questions:
- Why? — The fundamental problem this concept solves in real distributed systems.
- What? — A clear, principle-first explanation (no framework bias).
- How? — Practical implementation patterns that work in any modern backend (Node.js, Go, Python, etc.), with pseudocode, architecture diagrams (described), and real-world gotchas.
By the end of these 32 days, you'll have:
- A mental model that lets you read any backend codebase (open-source or proprietary) and instantly understand its structure
- The ability to design systems that are reliable, observable, secure, and scalable from day one
- Confidence to switch stacks or invent your own abstractions without fear
This isn't about becoming a "Node.js developer" or "Go expert." It's about becoming a backend systems thinker — someone who builds software the way physics builds bridges: from bedrock truths upward.
Ready?
Tomorrow (Day 1), we start at the absolute foundation: HTTP Protocol — where every backend request truly begins.
Follow along daily. Build small prototypes as we go. Join discussions in comments or the Sriniously Discord (linked in original videos). By day 32, you'll look back and see how far first-principles thinking has taken you.
Let's begin.
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