"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'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.
What’s an inference provider?
How the rise of open source AI models is fueling the growth of a new infrastructure category.
Hallucination
AI hallucination is when AI models confidently generate information that's completely made up or wrong.
Post-Training
Post-training turns a model from a knowledgeable blob that produces rambling answers, into a helpful assistant.
ChatGPT
ChatGPT is a Machine Learning model, created and maintained by OpenAI, that generates paragraphs of text in response to prompts.
Training
Training is the process of creating and teaching an ML model how to do something.
Databricks is apparently worth $100B. What do they even do?
What we should really be asking is “What does Databricks not do?”
Product analytics
Product analytics is the process of companies figuring out what users are actually doing in their product, with the goal of improving it.
Data lake
A Data Lake is an unstructured place to put data. It’s usually meant for long term storage and infrequent querying.
Alteryx
Alteryx is a group of tools that helps business teams get insights out of their data, without needing to write any code.
Snowflake
Snowflake sells a powerful cloud data warehouse for analytics and data science teams.
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.
Algolia
Algolia provides a set of tools that helps engineers build search functionality into their apps.

turbopuffer
Turbopuffer is a search engine built on top of object storage (like AWS S3).
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?
Kubernetes
Developers use Kubernetes to turn their individual containers and virtual machines into full fledged, working applications.
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.
Postman
Postman is a suite of tools that helps developers build, test, and use internal and external API endpoints.
Datadog
Datadog is monitoring software - developers use it to get operational visibility into their servers and applications.
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
If AI models are a commodity, the harness is the thing you want to own.
Paul IusztinAnd what's going on in the category formerly known as vector databases?
David KrevittThe fast, safe, super difficult to write programming language that’s finally getting its flowers.
Will RaphaelsonWhy coding agents need a safe place to play, just like we all do.
Justin Gage
The deceptively simple text files that help you avoid huge mistakes when shipping software.
Will Raphaelson
The web framework your next vibe-coded app will probably be built in.
Justin Gage
And why are AI labs buying them up?
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.
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.