"Subscribed for quick summaries of topics. Saves time. Googling and Youtube and collating info isn't convenient."
— RB
Making practical sense of software and AI.
What's going on with open-weight models?
How open-weight models went from a curiosity to great in 2 short years.
How do "computer use" agents work?
Why it's surprisingly challenging to let an LLM use a computer for you.
What's Harness Engineering?
If AI models are a commodity, the harness is the thing you want to own.
Token
A token is the basic unit of a Large Language Model's vocabulary.
Training
Training is the process of creating an AI model and teaching it how to actually do something useful.
Harness
A harness is the software wrapped around an AI model that lets it actually do things — touch your files, run your tools, and remember what happened.
AI agent
An AI agent is a model plus a harness — the model decides what to do, and the harness gives it the tools and the loop to actually go do it.
Databricks is apparently worth $100B. What do they even do?
What we should really be asking is “What does Databricks not do?”
Benchmark
A benchmark is a standard way of measuring the performance of a piece of software.
Product analytics
Product analytics is the process of companies figuring out what users are actually doing in their product, with the goal of improving it.
dbt Labs
dbt (no capitals) is a tool for transforming and organizing data in your warehouse.
Snowflake
Snowflake sells a powerful cloud data warehouse for analytics and data science teams.
What does Turbopuffer do?
And what's going on in the category formerly known as vector databases?
Schema
A schema is like the blueprint for a relational database.
Query
A query is how talk to your database.
MongoDB
MongoDB is a highly popular unstructured, NoSQL document database for powering your applications.

turbopuffer
Turbopuffer is a search engine built on top of object storage (like AWS S3).
Software Eng for Vibe Coders: On Frontends + Backends
A new series to help non-engineers build products that can handle going viral.
What are code sandboxes?
Why coding agents need a safe place to play, just like we all do.
All about Infrastructure as Code
The deceptively simple text files that help you avoid huge mistakes when shipping software.
Debugging
Debugging just means figuring out what’s wrong with your code or app.
IaaS
IaaS stands for Infrastructure as a Service, and it’s the lowest level of service available in the modern cloud ecosystem.
Vercel
Vercel builds the AI cloud – they make it easy for engineers to deploy and run the user facing (frontend) + AI parts of their applications.
JFrog
JFrog provides a bunch of products and services around DevOps, i.e. taking your software and deploying it to the world.
Tokenization
Tokenization is one of the ways that backends protect sensitive information, like credit cards or social security numbers.
VPN
A Virtual Private Network (VPN) lets you route your internet access through a specialized server that keeps your sensitive information private.
Okta
Okta is an enterprise-focused identity provider: they take care of managing usernames, passwords, and permissions.
Snyk
Snyk helps developers make sure that the code they're writing is secure.
"Technically has allowed me better bridge the gap between user problems and how our system works under the hood."
— Adelaide Hallowell
How open-weight models went from a curiosity to great in 2 short years.
Will RaphaelsonA new series to help non-engineers build products that can handle going viral.
Justin GageWhy it's surprisingly challenging to let an LLM use a computer for you.
Tereza TizkovaThe fast, safe, super difficult to write programming language that’s finally getting its flowers.
Will Raphaelson
And what's going on in the category formerly known as vector databases?
David Krevitt
The fast, safe, super difficult to write programming language that’s finally getting its flowers.
Will Raphaelson
Why coding agents need a safe place to play, just like we all do.
Justin GageWhat their products actually do and why they're so valuable.
Quick explanations of the concepts you see every day.

Kalshi just raised a new round at an $11B valuation. How much revenue does their prediction market really make?
Sam Schneider
What's the forward deployed engineer role, and why is every startup hiring them?
Sung Won ChungCurated collections of foundational articles to guide you through the basics of getting more technical at work.
How to understand and work effectively with AI and ML models and products.
Breaking down what ChatGPT and others are doing under the hood
How AI models learned to stop being weird and start being helpful.
GPT-3 is a Machine Learning model that generates text.
Data Science Notebooks help data teams explore data with code.
The products and business models of leading software companies.
What we should really be asking is “What does Databricks not do?”
Snowflake sells a powerful cloud data warehouse for analytics and data science teams.
OpenAI is the most popular provider of generative AI models like GPT-4.
dbt (no capitals) is a tool for transforming and organizing data in your warehouse.
How to make positive contributions to your product roadmap.
Engineering and code basics that can make you a better PM to work with.
Code is step by step directions, but for computers.
A network of computers all connected to each other and sharing information.
Cloud is how companies rent infrastructure over the internet.
You've outgrown Excel, but you've got to put that data somewhere besides your parents basement.
There are 300+ databases; what do they all do?
If you’re not a data scientist but you have questions, you want to know SQL.
Why that schema change is going to take your engineers two weeks.
Why your feature is held up by a migration and why this is actually good.
How do these things actual work under the hood? What does it mean to train one? Is it more like going to the gym, studying for a test, or sleeping?
How computers learn patterns from data — and why it’s the foundation for everything from stock prediction to ChatGPT.
Breaking down what ChatGPT and others are doing under the hood
A deep dive into how models like ChatGPT get built.
Unlike an onion, hopefully these neural network layers won't make you cry.
Your AI wrote the app. This is everything that happens after: where it runs, how it stays up, and what breaks first when real users show up. A six-part series, made with our friends at Railway.
A new series to help non-engineers build products that can handle going viral.
Where your vibe coded app actually keeps its data, and how it might break when real users show up.
How to make positive contributions when working with analytics and data science teams.
Product analytics is how teams instrument and analyze data about their product usage.
A deep dive into all of the tools that data teams use to do their work.
If you’re not a data scientist but you have questions, you want to know SQL.
The new set of tools data teams use to get their jobs done.