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— RB

Technically

Making practical sense of software and AI.

AI
Recent Articles

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.

AI Reference

Pre-Training

Pre-training is the "undergrad degree" phase where the model builds its foundational knowledge and world model.

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.

Terms

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.

Post-training

LLM post-training turns a model from a knowledgeable blob that produces rambling answers, into a helpful assistant.

All AI →
Analytics
Recent Articles

Databricks is apparently worth $100B. What do they even do?

What we should really be asking is “What does Databricks not do?”

Terms

Reverse ETL

Reverse ETL is the process of syncing data from your data warehouse to your business tools like Salesforce and Hubspot.

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.

Companies
Segment

Segment

Segment helps teams track their product and marketing data and send it to whichever tools it needs to go to.

Alteryx

Alteryx

Alteryx is a group of tools that helps business teams get insights out of their data, without needing to write any code.

All Analytics →
Databases
Recent Articles

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?

Terms

Relational database

A relational database is sort of like Excel, but for developers: it’s how applications store and analyze data.

Vector Database

A vector database is a place where developers store specially formatted data to use for machine learning and AI.

Companies
MongoDB

MongoDB

MongoDB is a highly popular unstructured, NoSQL document database for powering your applications.

Algolia

Algolia

Algolia provides a set of tools that helps engineers build search functionality into their apps.

All Databases →
DevOps
Recent Articles

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.

What are code sandboxes?

Why coding agents need a safe place to play, just like we all do.

Terms

Debugging

Debugging just means figuring out what’s wrong with your code or app.

SSH

The Secure Shell Protocol is a (popular) way to securely connect to computers over the internet, usually in the context of powerful servers in the cloud.

Companies
Cloudflare

Cloudflare

Cloudflare provides networking tools that help companies distribute their apps globally and securely.

Hashicorp

Hashicorp

Hashicorp sells software that helps developers manage their cloud infrastructure via code-based configuration.

All DevOps →
Security
Recent Articles

Software Eng for Vibe Coders: Auth + Security

How to make sure anyone on the internet can't just delete your app's data, and other security considerations.

Terms

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.

Companies
Snyk

Snyk

Snyk helps developers make sure that the code they're writing is secure.

Okta

Okta

Okta is an enterprise-focused identity provider: they take care of managing usernames, passwords, and permissions.

All Security →

"Technically has allowed me better bridge the gap between user problems and how our system works under the hood."

— Adelaide Hallowell

Latest

What's DuckDB?

What's DuckDB?

Meet the world's friendliest database (allegedly).

Garrett O'BrienGarrett O'Brien

Recent

The Vibe Coder's Guide to DeploymentFree

How your app gets off your laptop and onto the real internet, and what to do when a deploy breaks.

David KrevittDavid Krevitt

What is Google doing with AI?

Inside Google's full-stack cloud bet, and how it differs from Microsoft and AWS.

Paolo PerronePaolo Perrone

Software Eng for Vibe Coders: Auth + SecurityFree

How to make sure anyone on the internet can't just delete your app's data, and other security considerations.

David KrevittDavid Krevitt

How to use open-weight AI models

Picking a model, a harness, and where to run the thing.

Will RaphaelsonWill Raphaelson
AI ReferenceSee all →

The guide to AI that you've been looking for. Click on any term for an in depth explanation.

GPU (Graphics Processing Unit)GPUs are specialized chips that do thousands of simple calculations simultaneously, making them perfect for AI training RAGRetrieval Augmented Generation (RAG) is a way to make LLMs like GPT-4 more accurate and personalized to your specific dataTrainingTraining is the process of creating an AI model and teaching it how to actually do something useful.Training DatasetTraining datasets are the examples you show an AI model so it can learn to recognize patterns and make predictions.
Software Eng for Vibe Coders: Databases + Storage

Software Eng for Vibe Coders: Databases + StorageFree

Where your vibe coded app actually keeps its data, and how it might break when real users show up.

David KrevittDavid Krevitt
What's going on with open-weight models?

What's going on with open-weight models?

How open-weight models went from a curiosity to great in 2 short years.

Will RaphaelsonWill Raphaelson
Software Eng for Vibe Coders: On Frontends + Backends

Software Eng for Vibe Coders: On Frontends + BackendsFree

A new series to help non-engineers build products that can handle going viral.

Justin GageJustin Gage
How do "computer use" agents work?

How do "computer use" agents work?Free

Why it's surprisingly challenging to let an LLM use a computer for you.

Tereza TizkovaTereza Tizkova
CompaniesSee all →

What their products actually do and why they're so valuable.

ConfluentConfluent
Apache Kafka is a framework for streaming real time data, and Confluent offers Kafka as a managed service.
PlaidPlaid
Plaid acts as an intermediary between apps (like Venmo) and your bank so that you can log in and share data securely.
SnykSnyk
Snyk helps developers make sure that the code they're writing is secure.
StripeStripe
Stripe sells payments infrastructure for internet businesses: primarily, they help you bill your customers, process payments, and work with your payment data.
GlossarySee all →

Quick explanations of the concepts you see every day.

BackendAn application – like the one you’re reading this post on – is made up of just two parts: a frontend and a backend.CompileCompiling just means translating one thing to another.DNSThe Domain Name Service is like the address book of the internet.ETLETL stands for Extract - Transform - Load, and it’s the process of moving data around your internal systems to get it ready for analysis.

Video

Analyzing all 203 million trades on Kalshi

Analyzing all 203 million trades on Kalshi

Kalshi just raised a new round at an $11B valuation. How much revenue does their prediction market really make?

Sam SchneiderSam Schneider
Relationships are the moat

Relationships are the moat

What's the forward deployed engineer role, and why is every startup hiring them?

Sung Won ChungSung Won Chung
Technically on YouTube →

Contributors

Afzal JasaniAfzal JasaniChristy BieberChristy BieberDavid KrevittDavid KrevittGarrett O'BrienGarrett O'BrienJustin GageJustin GageKenny NingKenny NingMatt HendersonMatt HendersonPaolo PerronePaolo PerronePaul IusztinPaul IusztinSachin BennySachin BennySam SchneiderSam SchneiderSarah Krasnik BedellSarah Krasnik BedellSung Won ChungSung Won ChungTereza TizkovaTereza TizkovaWill RaphaelsonWill Raphaelson

Learning Tracks

Curated collections of foundational articles to guide you through the basics of getting more technical at work.

AI, it's not that complicated ↗

How to understand and work effectively with AI and ML models and products.

  • How do Large Language Models work?

    Breaking down what ChatGPT and others are doing under the hood

  • What's RLHF?

    How AI models learned to stop being weird and start being helpful.

  • What's GPT-3?

    GPT-3 is a Machine Learning model that generates text.

  • What’s a data science notebook?

    Data Science Notebooks help data teams explore data with code.

Analyzing Software Companies ↗

The products and business models of leading software companies.

  • Databricks is apparently worth $100B. What do they even do?

    What we should really be asking is “What does Databricks not do?”

  • What does Snowflake do?

    Snowflake sells a powerful cloud data warehouse for analytics and data science teams.

  • What does OpenAI do?

    OpenAI is the most popular provider of generative AI models like GPT-4.

  • What does dbt do?

    dbt (no capitals) is a tool for transforming and organizing data in your warehouse.

Building Software Products ↗

How to make positive contributions to your product roadmap.

  • The top 5 things PMs should know about engineering

    Engineering and code basics that can make you a better PM to work with.

  • What's code?

    Code is step by step directions, but for computers.

  • What's the internet?

    A network of computers all connected to each other and sharing information.

  • What's cloud?

    Cloud is how companies rent infrastructure over the internet.

From Spreadsheets to Databases ↗

You've outgrown Excel, but you've got to put that data somewhere besides your parents basement.

  • The Beginner's Guide to Databases

    There are 300+ databases; what do they all do?

  • SQL for the rest of us

    If you’re not a data scientist but you have questions, you want to know SQL.

  • The Excel User's Guide to Databases: Schemas

    Why that schema change is going to take your engineers two weeks.

  • The Excel User's Guide to Databases: Migrations

    Why your feature is held up by a migration and why this is actually good.

How AI Models Actually Work ↗

Under the hood of today's powerful AI models: how they're trained, implemented, and otherwise used.

  • What is Machine Learning?

    How computers learn patterns from data — and why it’s the foundation for everything from stock prediction to ChatGPT.

  • How do Large Language Models work?

    Breaking down what ChatGPT and others are doing under the hood

  • How do you train an AI model?

    A deep dive into how models like ChatGPT get built.

  • The beginner’s guide to AI model architectures

    Unlike an onion, hopefully these neural network layers won't make you cry.

Software Engineering for Vibe Coders ↗

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.

  • Software Eng for Vibe Coders: On Frontends + Backends

    A new series to help non-engineers build products that can handle going viral.

  • 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.

  • Software Eng for Vibe Coders: Auth + Security

    How to make sure anyone on the internet can't just delete your app's data, and other security considerations.

  • 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.

Working With Data Teams ↗

How to make positive contributions when working with analytics and data science teams.

  • How do product analytics work?

    Product analytics is how teams instrument and analyze data about their product usage.

  • What your data team is using: the analytics stack

    A deep dive into all of the tools that data teams use to do their work.

  • SQL for the rest of us

    If you’re not a data scientist but you have questions, you want to know SQL.

  • What's the Modern Data Stack?

    The new set of tools data teams use to get their jobs done.

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— RB

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