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  1. You've Been Doing Harness Engineering All Along

    If you used LLMs for coding before the coding agents (~prior to Claude Code release in Feb last year), and if you got annoyed with typing the same context into LLM chat boxes, you’d start saving it into per-project markdown files.

  2. I sent an AI agent to explore Reddit for cooking tips

    I find Reddit is one of the best sources for practical cooking tips.

  3. Lessons from going solo

    A large percentage of people I hang out with work in tech.

  4. Update: see HN discussions about this post: https://news.ycombinator.com/item?

  5. How to Set Up Work and Personal Git Profiles

    Tired of accidentally committing to work repos with your personal email?

  6. US Tariffs, DeepSeek and OpenAI

    This week the new Trump administration announced new tariffs on key trading partners, Canada and Mexico.

  7. Training and fine-tuning Large Language Models (LLMs) requires significant computational resources and careful experiment tracking.

  8. Kubernetes Mental Model

    I am preparing for my CKAD (Certified Kubernetes Application Developer) exam.

  9. Intro to SLURM for ML Practitioners

    SLURM (Simple Linux Utility for Resource Management) is an open-source workload manager designed to schedule and manage jobs on large clusters.

  10. Experiments with OpenAI's Function Calling

    Intro This notebook (also on github) demonstrates how to use Function Calling functionality with the OpenAI API.

  11. Introduction - Solving cloud resources and reproducibility for LLMs A few of weeks ago, I wrote a post about the challenges of training large ML models, in particular: the need for more computing power and the complexity of managing cloud resources; the d…

  12. When you’re trying to wrap your head around challenging new ideas, your natural instinct may be to chip away at it in several attempts.

  13. ML experiments in the cloud with SkyPilot and DVC

    Introduction One of the things that makes machine learning hard is that you have to run a lot of experiments.

  14. Why Sales Engineers Exist

    Paul Graham once wrote that “a startup is a company designed to grow fast.”

  15. Don’t know what to do next? Teach!

    We (esp. those in the tech industry) have an instinctual aversion to pedagogy.