Engineering notes
What we have learned building and running AI systems, written for the people who have to maintain them.
How AI Agents Are Revolutionizing Business Automation in 2026
Discover how autonomous AI agents are transforming business operations, from customer service to complex decision-making processes. Learn the key strategies for implementing AI agents in your organization.
MLOps Best Practices: Scaling ML Models in Production
A comprehensive guide to building robust MLOps pipelines that can handle millions of requests. Covers Kubernetes, auto-scaling, monitoring, and deployment strategies.
Building Production-Ready LLM Applications with LangChain
Step-by-step guide to creating scalable LLM applications using LangChain. From prompt engineering to vector databases and retrieval-augmented generation (RAG).
React Performance Optimization Techniques for 2026
Advanced techniques for optimizing React applications, including React Server Components, streaming SSR, and the latest performance patterns from the React team.
The Ultimate Tech Stack Guide for Startups in 2026
How to choose the right technologies for your startup. Covers frontend, backend, database, cloud infrastructure, and AI/ML considerations for different stages of growth.
Vector Databases Explained: Pinecone, Weaviate, and Beyond
A deep dive into vector databases and their role in AI applications. Compare popular options and learn when to use each for semantic search and recommendation systems.