The Axiom

A technical reference covering AI engineering, cloud infrastructure, testing, and software fundamentals.

Live knowledge base · 458 pages

Learning Paths

Prompt engineering, RAG, agents, evals, and production operations. The full curriculum for building AI products that hold up under load.

Clean code, design patterns, system design, databases, and APIs. Plus the behaviour-under-stress topics most paths skip.

AWS, containers, Kubernetes, infrastructure as code, and the failure modes, networking, and cost engineering that senior roles require.

Test strategy, case design, exploratory testing, risk-based thinking, and quality in modern delivery pipelines.

API testing, performance, test architecture, Playwright, and the distributed-systems debugging skills that separate senior engineers.

SQL, schema design, transactions, NoSQL tradeoffs, Python data tools, and the performance analysis skills production demands.

458 pages