Hang on, I am rendering this page
Read, see, animate, test, and build each idea until architecture patterns become practical engineering judgment.
Start with AI engineering, agents, prompts, models, and evaluations, then explore the engineering foundations. Every topic opens into the same 5-mode loop.
RAG, multi-agent systems, prompt engineering, token economics, evaluations and guardrails — the production discipline of building with LLMs.
Tool use, planning loops, LangGraph, AutoGen, MCP, memory and multi-agent orchestration — building autonomous AI systems that act.
Working with coding agents day to day: the loop that keeps them productive, the repo instructions they read, and how to review what they write.
System prompts, few-shot patterns, chain-of-thought, structured output, red-teaming and meta-prompting — the craft of communicating with LLMs.
Benchmarks, cost-performance trade-offs, context windows, API providers, self-hosted and edge deployment options for LLMs.
Offline and online evals, LLM monitoring, token tracking, latency analysis, guardrails, LangSmith and OpenTelemetry for AI — closing the feedback loop.
Caching, load balancing, messaging, scalability, consistency and distributed patterns — how to architect systems that scale.
6 liveAzure services, microservices, serverless, Service Bus, AKS, App Service — how real systems run in production on Microsoft cloud.
9 liveC# language features, OOP, Gang-of-Four patterns, Clean Architecture, CQRS, DDD, Entity Framework and Minimal APIs — the enterprise backend spine.
PostgreSQL, Redis, Cosmos DB, pgvector, Pinecone — relational, cache, NoSQL and vector storage with production-grade patterns.
REST patterns, GraphQL, gRPC, WebSockets, versioning, rate limiting and API gateway patterns — designing contracts that last.
OWASP Top 10, authentication patterns, zero-trust, secrets handling, dependency scanning — production security for every engineer.
Unit testing, integration, E2E, TDD, contract testing, snapshot testing and test architecture — building confidence into every deploy.
GitHub Actions, Docker, Kubernetes, Helm, monitoring and alerting — the engineering discipline of shipping reliably and continuously.
Terraform, Bicep, Pulumi — define, version and automate cloud infrastructure. Covers drift detection, policy as code and secrets management.
6 liveHooks, Fiber, Server Components, state management, React Query and Next.js App Router — the modern frontend runtime.
12 liveGenerics, utility types, conditional types, mapped types, Zod, type guards and module resolution — mastering the TypeScript type system.
Sorting, graph traversal, dynamic programming, trees, heaps, recursion and Big-O analysis — the foundations every engineer needs.