Practical notes on AI engineering, software delivery, and system design.
I'm a tech lead focused on building reliable systems and applying AI to real product and delivery challenges. Here I share practical implementation notes, architecture decisions, learning paths, and lessons from shipping production software.
Javier Hack
Tech Lead
Latest articles
From a laptop demo to production - what an AI feature really costs
We built a RAG assistant on a laptop with Ollama, then shipped it on Azure OpenAI. The migration took an afternoon. Everything we learned afterwards is the actual story.
Open articleChoosing an AI stack without overengineering it
A compact framework for picking providers, orchestration tools, and hosting without adding unnecessary complexity.
Open articleGuardrails I use when AI touches a real product
A privacy-safe look at evaluation points, constraints, and review gates that keep AI behavior predictable.
Open articleSauce flavors
AI engineering
LLM integration, prompt design, evaluation, and the delivery concerns that show up in production.
Software delivery
CI/CD, release discipline, observability, and practical habits for stable iteration.
Cloud and platform
Architecture trade-offs, service composition, and reliable platform choices.
Safety and quality
Guardrails, testing, and controls that help AI-enabled systems behave predictably.