"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 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.
How do "computer use" agents work?
Why it's surprisingly challenging to let an LLM use a computer for you.
Loss Function
A loss function is something you design that tells the model when its answers are right and when they're wrong.
Fine Tuning
Fine tuning is the process of taking a pre-trained AI model and specializing it for your specific use case.
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.
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?”
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.
Analytics
Analytics just means trying to use data to learn something.
dbt Labs
dbt (no capitals) is a tool for transforming and organizing data in your warehouse.
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?
Production database
The largest category of databases – both in terms of number of available options and total market size – is production databases.
Database
A database is just a place to store data; even Excel is technically a database.
Algolia
Algolia provides a set of tools that helps engineers build search functionality into their apps.
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.
Port
Computers have digital ports – literally, like for a boat – for other computers to connect to over a network.
Technical Debt
Technical debt is a term developers use to refer to all of the annoying thorns they need to deal with because of past decisions someone made in their codebase and architecture.
Splunk
Splunk is a tool for storing and searching logs, specifically focused on security.
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.
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
Picking 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 KrevittHow 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 Gage
The fast, safe, super difficult to write programming language that’s finally getting its flowers.
Will Raphaelson
If AI models are a commodity, the harness is the thing you want to own.
Paul Iusztin
And what's going on in the category formerly known as vector databases?
David KrevittWhat 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 sure anyone on the internet can't just delete your app's data, and other security considerations.
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.