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Operating Instructions for Lucas

Below you'll find a collection of technical principles, tools, and frameworks. If you're interested in learning more about my experience and skills, I'd recommend checking out https://electricocean.io

First Principles for Good Software

  1. Simple
  2. Tractable
  3. Repeat yourself -- don't build hasty abstractions
  4. Simple, seriously.

Organizational Tools

  • Omnifocus - A tool born out of the necessity of managing multiple people & projects
  • Readwise - Surfaces daily highlights from books I've read int he past. Has become one of the favorite parts of my day.
  • Goodreads - Seems to be rotting away after being acquired by Amazon, but still the best way for me to track my book reading.

Developer Tools

  • VS Code - I always come back to VS Code, even if it is an electron app.
  • VSpaceCode - The power of mnemonic prefixes and discoverability of SpaceMacs, as a VSCode Extension.
  • Magit - Well-crafted UI abstraction for the git CLI, integrates with Emacs & VSpaceCode.
  • Starship - First bash-it, then ohmyzsh, and now Starship. Each one required less configuration and similar efficiencies. I don't use a terminal without it.
  • Codeium - Preferred AI coding assistant. Crazy fast. Constantly improving. Generour free tier for solo developers.

Frontend Awesome

A collection of my go-to tools for frontend development

  • Svelte + SvelteKit - Managing state and updating the dom just make sense with this no nonsense framework.
  • Tailwind CSS - Utility-first CSS framework that reduces my urge to retreat to backend development when building UIs.

Backend / Data Science Awesome

A combination of backend and data science resources

  • Advanced Python Testing - I come back to this article again & again when building test pipelines and best practices.
  • Black - Reduces the need for 80% of code comments (python).
  • Dramatiq - Preferred async task processing library (python).
  • Hugging Face - Github for machine learning

Operations Tools

I've worked with AWS, GCP, and Azure. Cloudflare provides a subset of these functionalities, but for most work loads, the gap is closing fast. And it's usually cheaper and easier to reason about. Here's the stack I used when re-building my B2B SaaS company, EasyLocates, with Cloudflare tooling.

  • Object Storage: Cloudflare R2
  • Image Pipeline: Cloudflare Images
  • Compute: Cloudflare Workers/Pages -- combine with a meta-framework like SvelteKit and you have a redundant, self-healing node backend with zero configuration
  • CI/CD: Integrates directly with Github
  • Integration Testing: Github Actions continues to make my old operational skills obsolete. And I'm ok with that.
  • AI: You can quickly run AI experiements with Cloudflare's built-in models. And their in-house vector DB, Vectorize, allows you to build RAG prototypes.
  • DB: Postgres continues to be the go-to option for RDB data workloads.

Lucas Culbertson's Projects

arc.js icon arc.js

great circle routes in javascript

aws-ecs-orb icon aws-ecs-orb

An orb that simplifies deployment to Amazon's Elastic Container Service (ECS). Supports both EC2 and Fargate launch types.

cf-qr-image icon cf-qr-image

Fork of QR-Image to run as ESM Module inside of Cloudflare Workers

data-viz icon data-viz

Some d3 visualizations from Bay Area Bike Share

flask-httpauth icon flask-httpauth

Simple extension that provides Basic and Digest HTTP authentication for Flask routes

go.geo icon go.geo

Geometry/geography library in Go

heatmap.js icon heatmap.js

JavaScript Library for HTML5 canvas based heatmaps

houdini icon houdini

The "disappearing" GraphQL client for the SvelteKit

kitchen-sink icon kitchen-sink

Web app focused on practicing the use of multiple web-based technologies

quality-momentum icon quality-momentum

A python library that creates Pyfolio tear sheets for a quantitative momentum algorithm

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