"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 is Google doing with AI?
Inside Google's full-stack cloud bet, and how it differs from Microsoft and AWS.
How to use open-weight AI models
Picking a model, a harness, and where to run the thing.
What's going on with open-weight models?
How open-weight models went from a curiosity to great in 2 short years.
Pre-Training
Pre-training is the "undergrad degree" phase where the model builds its foundational knowledge and world model.
Instructional Fine-tuning
Instructional fine-tuning is how you turn a pre-trained AI model – knowledgeable, but useless – into a helpful assistant that actually answers your questions.
Model weights
Model weights are the numbers a model learned during training — an astoundingly unsexy name for the single most important component of an AI model.
Post-training
LLM post-training turns a model from a knowledgeable blob that produces rambling answers, into a helpful assistant.
Databricks is apparently worth $100B. What do they even do?
What we should really be asking is “What does Databricks not do?”
Reverse ETL
Reverse ETL is the process of syncing data from your data warehouse to your business tools like Salesforce and Hubspot.
The Modern Data Stack
The Modern Data Stack™ (MDS) is a new-ish set of tools that data teams are using to collect, transform, explore, and make use of their company’s data.
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.
Software Eng for Vibe Coders: Databases + Storage
Where your vibe coded app actually keeps its data, and how it might break when real users show up.
What does Turbopuffer do?
And what's going on in the category formerly known as vector databases?
Relational database
A relational database is sort of like Excel, but for developers: it’s how applications store and analyze data.
Vector Database
A vector database is a place where developers store specially formatted data to use for machine learning and AI.
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.
The Vibe Coder's Guide to Deployment
How your app gets off your laptop and onto the real internet, and what to do when a deploy breaks.
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.
Debugging
Debugging just means figuring out what’s wrong with your code or app.
SSH
The Secure Shell Protocol is a (popular) way to securely connect to computers over the internet, usually in the context of powerful servers in the cloud.
Cloudflare
Cloudflare provides networking tools that help companies distribute their apps globally and securely.
Hashicorp
Hashicorp sells software that helps developers manage their cloud infrastructure via code-based configuration.
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
How your app gets off your laptop and onto the real internet, and what to do when a deploy breaks.
David KrevittInside Google's full-stack cloud bet, and how it differs from Microsoft and AWS.
Paolo PerroneHow to make sure anyone on the internet can't just delete your app's data, and other security considerations.
David KrevittPicking a model, a harness, and where to run the thing.
Will Raphaelson
How open-weight models went from a curiosity to great in 2 short years.
Will Raphaelson
A new series to help non-engineers build products that can handle going viral.
Justin Gage
Why it's surprisingly challenging to let an LLM use a computer for you.
Tereza TizkovaWhat 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.
Under the hood of today's powerful AI models: how they're trained, implemented, and otherwise used.
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 sure anyone on the internet can't just delete your app's data, and other security considerations.
How your app gets off your laptop and onto the real internet, and what to do when a deploy breaks.
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.