"Subscribed for quick summaries of topics. Saves time. Googling and Youtube and collating info isn't convenient."
— RB
Technically
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.
Context Window
A context window is how much data an AI model can hold in memory at once.
Training
Training is the process of creating an AI model and teaching it how to actually do something useful.
Loss Function
When training a machine learning model, 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.
Databricks is apparently worth $100B. What do they even do?
What we should really be asking is “What does Databricks not do?”
Data lake
A Data Lake is an unstructured place to put data. It’s usually meant for long term storage and infrequent querying.
Kafka
Apache Kafka is a framework for streaming data between internal systems.
Segment
Segment helps teams track their product and marketing data and send it to whichever tools it needs to go to.
Alteryx
Alteryx is a group of tools that helps business teams get insights out of their data, without needing to write any code.
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.
Metadata
Metadata is data about data (🤯).
NoSQL
NoSQL databases are databases with no rules: you just throw your data in there and worry about it later.
MongoDB
MongoDB is a highly popular unstructured, NoSQL document database for powering your applications.
Algolia
Algolia provides a set of tools that helps engineers build search functionality into their apps.
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.
What's a Package Manager?
And why are AI labs buying them up?
Production
Production is the live, ready, tested, public facing version of your app.
Microservices
Microservices (all hype aside) are a way of building your application as a series of small, interacting services instead of one giant bundle of code.
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.
Zapier
Zapier helps business people make custom integrations between their favorite tools, without needing to write any code.
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
Recent
How do "computer use" agents work?Free
Why it's surprisingly challenging to let an LLM use a computer for you.
Tereza TizkovaWhat is Rust?Free
The fast, safe, super difficult to write programming language that’s finally getting its flowers.
Will RaphaelsonWhat's Harness Engineering?Free
If AI models are a commodity, the harness is the thing you want to own.
Paul IusztinWhat does Turbopuffer do?
And what's going on in the category formerly known as vector databases?
David Krevitt
What are code sandboxes?
Why coding agents need a safe place to play, just like we all do.
Justin Gage
How my non-engineering team at Sentry learned to shipFree
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 Henderson
All about Infrastructure as CodeFree
The deceptively simple text files that help you avoid huge mistakes when shipping software.
Will RaphaelsonWhat their products actually do and why they're so valuable.
Confluent
Datadog
Elastic
HashicorpQuick explanations of the concepts you see every day.
Video
Analyzing all 203 million trades on Kalshi
Kalshi just raised a new round at an $11B valuation. How much revenue does their prediction market really make?
Sam Schneider
Relationships are the moat
What's the forward deployed engineer role, and why is every startup hiring them?
Sung Won Chung
Learning Tracks
Curated collections of foundational articles to guide you through the basics of getting more technical at work.
AI, it's not that complicated ↗
How to understand and work effectively with AI and ML models and products.
- How do Large Language Models work?
Breaking down what ChatGPT and others are doing under the hood
- What's RLHF?
How AI models learned to stop being weird and start being helpful.
- What's GPT-3?
GPT-3 is a Machine Learning model that generates text.
- What’s a data science notebook?
Data Science Notebooks help data teams explore data with code.
Analyzing Software Companies ↗
The products and business models of leading software companies.
- Databricks is apparently worth $100B. What do they even do?
What we should really be asking is “What does Databricks not do?”
- What does Snowflake do?
Snowflake sells a powerful cloud data warehouse for analytics and data science teams.
- What does OpenAI do?
OpenAI is the most popular provider of generative AI models like GPT-4.
- What does dbt do?
dbt (no capitals) is a tool for transforming and organizing data in your warehouse.
Building Software Products ↗
How to make positive contributions to your product roadmap.
- The top 5 things PMs should know about engineering
Engineering and code basics that can make you a better PM to work with.
- What's code?
Code is step by step directions, but for computers.
- What's the internet?
A network of computers all connected to each other and sharing information.
- What's cloud?
Cloud is how companies rent infrastructure over the internet.
From Spreadsheets to Databases ↗
You've outgrown Excel, but you've got to put that data somewhere besides your parents basement.
- The Beginner's Guide to Databases
There are 300+ databases; what do they all do?
- SQL for the rest of us
If you’re not a data scientist but you have questions, you want to know SQL.
- The Excel User's Guide to Databases: Schemas
Why that schema change is going to take your engineers two weeks.
- The Excel User's Guide to Databases: Migrations
Why your feature is held up by a migration and why this is actually good.
How AI Models Actually Work ↗
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?
- What is Machine Learning?
How computers learn patterns from data — and why it’s the foundation for everything from stock prediction to ChatGPT.
- How do Large Language Models work?
Breaking down what ChatGPT and others are doing under the hood
- How do you train an AI model?
A deep dive into how models like ChatGPT get built.
- The beginner’s guide to AI model architectures
Unlike an onion, hopefully these neural network layers won't make you cry.
Working With Data Teams ↗
How to make positive contributions when working with analytics and data science teams.
- How do product analytics work?
Product analytics is how teams instrument and analyze data about their product usage.
- What your data team is using: the analytics stack
A deep dive into all of the tools that data teams use to do their work.
- SQL for the rest of us
If you’re not a data scientist but you have questions, you want to know SQL.
- What's the Modern Data Stack?
The new set of tools data teams use to get their jobs done.