"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.
Embeddings
Embeddings are how AI models turn words, images, or other data into mathematical coordinates that computers can actually work with.
Prompt Engineering
Prompt engineering is the art of talking to AI models in a way that gets you the results you actually want.
Training
Training is the process of creating and teaching an ML model how to do something.
ChatGPT
ChatGPT is a Machine Learning model, created and maintained by OpenAI, that generates paragraphs of text in response to prompts.
Databricks is apparently worth $100B. What do they even do?
What we should really be asking is “What does Databricks not do?”
A/B Testing and Experimentation
Experimentation is one of the ways that companies understand if their product efforts are working, and ipso facto, what they should be spending time on.
Kafka
Apache Kafka is a framework for streaming data between internal systems.
Snowflake
Snowflake sells a powerful cloud data warehouse for analytics and data science teams.
Segment
Segment helps teams track their product and marketing data and send it to whichever tools it needs to go to.
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?
Blockchain
A blockchain is just another way to store data, exactly like a database.
Vector Database
A vector database is a place where developers store specially formatted data to use for machine learning and AI.

turbopuffer
Turbopuffer is a search engine built on top of object storage (like AWS S3).
MongoDB
MongoDB is a highly popular unstructured, NoSQL document database for powering your applications.
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.
Compile
Compiling just means translating one thing to another.
Terminal
The Terminal is the native way to talk to computers.
New Relic
New Relic is observability software: teams use it to monitor the performance of their apps and infrastructure.
JFrog
JFrog provides a bunch of products and services around DevOps, i.e. taking your software and deploying it to the world.
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.
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
Inside 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 RaphaelsonWhere your vibe coded app actually keeps its data, and how it might break when real users show up.
David Krevitt
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 Tizkova
The fast, safe, super difficult to write programming language that’s finally getting its flowers.
Will RaphaelsonWhat 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.