"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.
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.
AI, tractors and the productivity paradox
Where are AI's productivity gains hiding? What kitted out Model Ts can teach us.
Reinforcement Learning from Human Feedback (RLHF)
RLHF is the final training step that turns a knowledgeable but rambling AI into the helpful assistant you know and love.
Loss Function
A loss function is something you design that tells the model when its answers are right and when they're wrong.
Pre-training
When training an LLM, pre-training gives the model all the basic, foundational knowledge it needs to answer your prompts, by showing it lots and lots of examples of existing text from the internet.
Machine Learning
Machine Learning uses math to predict an output given an input
Databricks is apparently worth $100B. What do they even do?
What we should really be asking is “What does Databricks not do?”
Metric
When developers monitor their applications and infrastructure to make sure things run smoothly, they set up metrics to track specific points of performance: how fast an API request gets fulfilled, the percentage of requests that fail, or even what % of total processing capacity is a server using up.
Linear Regression
Linear Regression is an old school statistical method for predicting outcomes from a series of numbers.
dbt Labs
dbt (no capitals) is a tool for transforming and organizing data in your warehouse.
OpenAI
OpenAI is the most popular provider of generative AI models like GPT-4.
What does Turbopuffer do?
And what's going on in the category formerly known as vector databases?
Why do developers choose different types of databases?
An intro to how companies like Elastic, MongoDB, Snowflake, Confluent and AWS compete.
Vector Database
A vector database is a place where developers store specially formatted data to use for machine learning and AI.
Schema
A schema is like the blueprint for a relational database.
Algolia
Algolia provides a set of tools that helps engineers build search functionality into their apps.
Elastic
Elasticsearch is a popular open source database for storing and searching unstructured data.
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.
Script
A script is a term developers use to refer to a file of code that does something scoped and specific: to be distinguished from an app or a system, which is probably many files and does a lot more.
Terminal
The Terminal is the native way to talk to computers.
Zapier
Zapier helps business people make custom integrations between their favorite tools, without needing to write any code.
Twilio
Twilio makes a suite of products that helps you communicate with your customers via SMS, video, calls, and more.
VPN
A Virtual Private Network (VPN) lets you route your internet access through a specialized server that keeps your sensitive information private.
Tokenization
Tokenization is one of the ways that backends protect sensitive information, like credit cards or social security numbers.
Snyk
Snyk helps developers make sure that the code they're writing is secure.
Okta
Okta is an enterprise-focused identity provider: they take care of managing usernames, passwords, and permissions.
"Technically has allowed me better bridge the gap between user problems and how our system works under the hood."
— Adelaide Hallowell
A 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 RaphaelsonIf AI models are a commodity, the harness is the thing you want to own.
Paul Iusztin
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 Gage
We moved 2,500 pages out of our CMS with Claude Code and Git. 4 months ago, most of us hadn't written code.
Matt HendersonWhat 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.
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.