THE ATLAS · 44 TRACKS · 2263 LESSONS
Zero to senior, in the open.
Mathematics, computer science, and fullstack engineering — every lesson a node in one connected atlas.
44°N · open map
Deployment & Infra
How your code gets from your laptop to running servers — packaging it in containers, putting new versions live without downtime, and describing infrastructure as code.
Performance
How to find why software is slow and actually make it faster — measure first, then fix the real bottleneck instead of guessing.
Data Engineering
Working with data at scale — storing huge volumes cheaply and running analytics and search over it. Advanced; learn regular databases first.
AI / LLM Integration
How to build features on top of large language models — feeding them your own data, letting them call your code, and checking that the answers are actually good.
Engineering Practice
The habits that separate a hobby project from a professional team — testing well, shipping changes safely, and keeping a service healthy in production.
System Design Case Studies
End-to-end designs of real systems — URL shortener, chat, news feed, YouTube, payments — requirements, estimation, high-level design, and the hard deep-dives.
AWS, hands-on
Deploy real systems on Amazon's cloud — the core model, compute, storage and networking — and come out ready for the AWS Cloud Practitioner and Solutions Architect Associate exams.
CI/CD pipelines
Ship safely on every push — pipelines, caching, and tests that gate a merge, with GitHub Actions.
Docker, containers as a system
Past 'write a Dockerfile' into how images, namespaces, BuildKit and registries actually work — and how containers behave in production.
Offensive Security
How attacks actually work, lab-framed and ethics-first: recon, web and infrastructure exploitation, and pentest methodology — so you can defend and read a findings report.
Defensive Security
Detect, respond, and harden: logging and detection engineering, incident response, defense-in-depth, and the security operations an engineer runs in production.
Cloud & Infra Security
Securing modern infrastructure: the cloud shared-responsibility model, IAM, container and Kubernetes security, infrastructure-as-code, and cloud posture management.
Architecture Patterns
How to structure an application so it survives change — coupling and cohesion, dependency direction, hexagonal and clean architecture, DDD, CQRS, event sourcing, and decomposing a monolith without building a distributed one.
Distributed Systems
What goes wrong when one system runs across many machines — and how they agree, stay available, and avoid making outages worse. Advanced; comfortable with one backend first.
Security
The ways real apps get attacked and how to defend them — safe login and sessions, validating input, and the common mistakes that leak data.
Observability
How to see what your running system is doing — through logs, metrics, and traces — so that when something breaks at 3am you can actually find out why.
System Design Foundations
The building blocks of large systems and the interview framework — scaling, availability, data distribution, caching, async, and reasoning about tradeoffs under load.
Security Foundations
The cross-cutting base every engineer needs to reason about security: threat modeling, cryptography you can actually use, identity, network security, and access-control models.
Networking & Protocols
From bits on a wire to TLS 1.3 — the journey of one packet, retold for senior engineers.
Browser & Frontend Runtime
What actually happens inside the browser when your page loads and runs — how JavaScript is scheduled, how pixels get drawn, and where the slow parts hide.
Frontend Architecture
How to structure a real frontend app: where data lives, how to load it, and how to keep a growing codebase from turning into a mess.
Backend Architecture
How a server handles a request from start to finish — and how to make it reliable: background work, safe retries, and clean shutdowns.
APIs
How programs talk to each other over the network — the main styles (REST, GraphQL, gRPC), and how to design one that stays usable as it changes.
Databases
How databases store and find your data fast, keep it correct when many users write at once, and grow as the data gets bigger.
Caching
How to make apps fast by remembering results instead of recomputing them — and the hard part: knowing when that remembered copy is stale.
Queues, Streams, Eventing
Letting parts of a system hand off work through message queues instead of waiting on each other — so things stay fast and survive a crash without losing a message.
SQL & PostgreSQL, deep
The SQL language and Postgres internals for senior engineers — joins, windows, CTEs, transactions, the planner.
JavaScript Engine internals
How V8 runs your code — parsing, bytecode, hidden classes, the JIT, garbage collection, and how to stay fast.
TypeScript type system, deep
From structural typing to type-level programming — generics, conditional and mapped types, and typing real systems.
Python for JS/TS developers
Learn Python coming from JavaScript — language core, scripting and automation, with an eye toward AI tooling.
Node.js, zero to senior
The runtime behind your backend — event loop, modules, async and streams — built up to senior depth.
NestJS, zero to senior
A structured framework for Node backends — it gives your server a clear, opinionated shape so a TypeScript codebase stays organized as it grows into production.
React, zero to senior
How React actually renders — reconciliation, state batching, effects, memoization — past tutorial level.
Next.js, zero to senior
Rendering strategies, App Router, server components and caching layers — production Next.js.
Go, zero to senior
A small language for big systems — types, errors, interfaces, and concurrency that actually scales.
Code patterns & craft
Code is read far more than it is written. Learn the craft that keeps a codebase changeable — naming, SOLID, code smells, and safe refactoring — plus the judgment to know when an abstraction earns its keep.
React patterns, senior
You can already build with React — now learn the patterns seniors reach for: composition, state architecture, the server/client boundary, Suspense, and the anti-patterns to refactor away, so components stay simple as they scale.
Mathematics from zero
Start knowing only how to count. Finish with the math foundation a programmer needs.
Base CS from zero
Start with no CS theory. Finish understanding how a computer runs your code and what every programming construct really means.
Algorithms from zero
Know one programming language, know no algorithms. Finish able to solve hard problems with confidence.
Logic, from zero
Propositions, proofs, and rigorous reasoning — the thinking layer beneath algorithms.
Command line
Start knowing only how to click. Finish able to navigate, search, and automate your system from a bare terminal prompt.
Linux, the operating system
You can drive the shell — now learn the system under it: how Linux boots, runs services, manages users and storage, and how to keep it alive when it breaks.
Git, from zero to senior
Start having never run `git init`. Finish able to branch, rebase, recover lost work, rewrite history — including changing a commit's author — and run the branching workflow a real team ships on.