"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.
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.
Training
Training is the process of creating an AI model and teaching it how to actually do something useful.
ChatGPT
ChatGPT is a Machine Learning model, created and maintained by OpenAI, that generates paragraphs of text in response to prompts.
Harness
A harness is the software wrapped around an AI model that lets it actually do things — touch your files, run your tools, and remember what happened.
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.
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.
dbt Labs
dbt (no capitals) is a tool for transforming and organizing data in your warehouse.
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?
Vector Database
A vector database is a place where developers store specially formatted data to use for machine learning and AI.
SQL
SQL, or structured query language, is a type of programming language for working with databases.
MongoDB
MongoDB is a highly popular unstructured, NoSQL document database for powering your applications.
Confluent
Apache Kafka is a framework for streaming real time data, and Confluent offers Kafka as a managed service.
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.
Deploy
Deploying means updating the running version of your app with new code
IaaS
IaaS stands for Infrastructure as a Service, and it’s the lowest level of service available in the modern cloud ecosystem.
Heroku
Heroku was and is one of the first cloud platforms as a service (PaaS).

Google is the search giant turned full-stack AI infrastructure player, building its own TPU chips, the Gemini models, and the Gemini Enterprise Agent Platform to compete with AWS and Microsoft.
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
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.