Field notes, implementation essays, and build thinking

As major AI labs abandon loss-leader pricing, the era of cheap inference collapses. What does this mean for developers, students, and innovation?

A practical introduction to agent harnesses, why they matter more as tasks get longer, and how they differ from models, frameworks, and the agents built on top of them.

A practical explainer of DeepSeek's Engram research, why conditional memory matters, and what the paper claims about a new sparsity axis for large language models.

A practical guide to the most common Node.js backend frameworks, how they differ, and when to choose Express, Fastify, Nest, or Koa.

A practical introduction to Terraform, the open source infrastructure as code tool created by HashiCorp, with examples of providers, state, modules, and the write-plan-apply workflow.

A short practical introduction to retrieval-augmented generation, why teams use it, and what the system actually does at runtime.