"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.
Post-Training
Post-training turns a model from a knowledgeable blob that produces rambling answers, into a helpful assistant.
GPU (Graphics Processing Unit)
GPUs are specialized chips that do thousands of simple calculations simultaneously, making them perfect for AI training
Training
Training is the process of creating and teaching an ML model how to do something.
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?”
Data lake
A Data Lake is an unstructured place to put data. It’s usually meant for long term storage and infrequent querying.
ETL
ETL stands for Extract - Transform - Load, and it’s the process of moving data around your internal systems to get it ready for analysis.

LangChain
LangChain helps developers build AI experiences into their products.
Segment
Segment helps teams track their product and marketing data and send it to whichever tools it needs to go to.
What's DuckDB?
Meet the world's friendliest database (allegedly).
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?
Metadata
Metadata is data about data (🤯).
Multi-tenant
Multi-tenant simply means shared with someone else, like having a roommate in an apartment.
Convex
Convex is a backend for app developers: the database, the server code and live updates to the app, in one place.
MongoDB
MongoDB is a highly popular unstructured, NoSQL document database for powering your applications.
The Vibe Coder's Guide to Cloud + Scaling
How to survive your app going viral.
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.
IaaS
IaaS stands for Infrastructure as a Service, and it’s the lowest level of service available in the modern cloud ecosystem.
Version control
Version control lets you track and manage changes to your code in a more sophisticated way than you’re used to.
DigitalOcean
DigitalOcean is an independent infrastructure as a service provider; you can think of them as AWS or GCP, but for the people.
Heroku
Heroku was and is one of the first cloud platforms as a service (PaaS).
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
What started as a humble LLM framework has become an everything store for agents.
David KrevittHow to survive your app going viral.
Will RaphaelsonMeet the world's friendliest database (allegedly).
Garrett O'BrienHow your app gets off your laptop and onto the real internet, and what to do when a deploy breaks.
David Krevitt
Thanks to AI, everything we knew about software is stale.
On Technically Speaking, host Megan Reynolds, founder of infra.nyc, asks high-profile technical leaders to explain how it works and where it's headed. (Honestly, they're figuring it out too.)

Michael GrinichFounder & CEO at
Megan ReynoldsHostFounder at infra.nyc
How to make sure anyone on the internet can't just delete your app's data, and other security considerations.
David Krevitt
Picking a model, a harness, and where to run the thing.
Will Raphaelson
Where your vibe coded app actually keeps its data, and how it might break when real users show up.
David KrevittWhat their products actually do and why they're so valuable.
Quick explanations of the concepts you see every day.
Curated 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.
How to make sure anyone on the internet can't just delete your app's data, and other security considerations.
Where your vibe coded app actually keeps its data, and how it might break when real users show up.
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.