Practical guides on AI engineering, from production RAG systems to voice agents. Real lessons from real projects.
Osvaldo Restrepo — AI engineer, PhD, and full-stack developer based in Panama — shares what it's like building production AI systems from Latin America, why Panama is an emerging tech hub, and what the AI engineering landscape looks like in Central America.
The story behind building an AI system for NICU families. Born from lived experience, grief, and the realization that parents deserve better tools to advocate for their children.
A practical guide to the Model Context Protocol — what it is, why it matters, how to build MCP servers, and how I use it in production to give LLMs safe, real-time access to databases, APIs, and business tools.
Technical debt isn't something to eliminate — it's something to manage strategically. When to take on debt intentionally, how to track it, when to pay it down, and how to stop your codebase from becoming a haunted house.
A no-nonsense guide to caching in real systems. Redis patterns, cache invalidation (the hard part), CDN edge caching, application-layer strategies, and the mistakes I've made so you don't have to.
A practical deep dive into graph databases, Neo4j, and the Cypher query language. When to ditch your JOINs, how to model data as nodes and relationships, GraphRAG patterns, and when to stick with PostgreSQL instead.
A practical guide to running AI inference at the edge — from model optimization and quantization to deploying on Jetson, Raspberry Pi, and the browser. War stories from a healthcare monitoring project where cloud latency almost killed the product, plus real patterns for ONNX Runtime and TensorRT.
Hard-won lessons from years of migrating production databases without losing data, sleep, or my sanity. Zero-downtime patterns, PostgreSQL tricks, tooling comparisons, rollback strategies, and the checklist I run through before every single deploy. Because 'it worked in staging' is not a migration strategy.
A practical guide to building truly accessible web applications. From the moment a blind user broke my healthcare app to building an a11y-first culture on your team.
A battle-tested guide to vector databases for AI applications. Honest comparison of pgvector, Pinecone, Weaviate, Qdrant, and Chroma — with real code, ASCII diagrams, and a decision framework so you stop overthinking this.
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