Resources
Explore every learning library.
Practical tracks for AI, backend engineering, system design, DevOps and fundamentals.
Featured / Recommended
Start with a strong track
Agentic AI
Build LLM systems that plan, act, and recover.
A practical resource track for production agent systems: tool use, memory, evals, guardrails, orchestration, and shipping reliable AI workflows.
Backend Engineering
Design, build, and operate robust services.
A practical backend resource track covering APIs, persistence, async processing, contracts, service boundaries, and production readiness.
All Learning Libraries
Browse every track
Agentic AI
Build LLM systems that plan, act, and recover.
A practical resource track for production agent systems: tool use, memory, evals, guardrails, orchestration, and shipping reliable AI workflows.
Backend Engineering
Design, build, and operate robust services.
A practical backend resource track covering APIs, persistence, async processing, contracts, service boundaries, and production readiness.
System Design
Scalable architecture notes from fundamentals to case studies.
Deep-dive notes for distributed systems, databases, caching, messaging, reliability, and architecture interview patterns.
Dev Ops
From local containers to observable delivery pipelines.
A clean DevOps resource collection for CI/CD, Docker, Kubernetes basics, incident signals, and repeatable deployment workflows.
Fundamentals
Core computer science building blocks for modern engineers.
A focused resource stack for networks, operating systems, databases, concurrency, and how those concepts surface in day-to-day engineering work.
