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Your dictionary for AI terms like LLM and RLHF
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What technical products actually do and why the companies that make them are valuable
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All Technically posts on software concepts since the dawn of time
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The dictionary of software terms you've always wanted

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Technically

Making practical sense of software and AI.

AI
Recent Articles

What are code sandboxes?

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

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.

AI Reference

Context Window

A context window is how much data an AI model can hold in memory at once.

Loss Function

A loss function is something you design that tells the model when its answers are right and when they're wrong.

Terms

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.

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

Linear Regression

Linear Regression is an old school statistical method for predicting outcomes from a series of numbers.

Benchmark

A benchmark is a standard way of measuring the performance of a piece of software.

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

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.

Terms

ORM

An Object Relational Mapper is software that lets developers interact with their database in their programming language of choice – instead of SQL.

GraphQL

GraphQL is a query language (and runtime) for building and using APIs: developers use it to simplify making API requests.

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

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?

A Beginner’s Guide to Bring Your Own Cloud

The profitable but challenging deployment model sweeping the nation.

Terms

Terminal

The Terminal is the native way to talk to computers.

Continuous integration (CI)

CI usually refers to a series of tests and automations that developers run on their code before they ship it to their users.

Companies
Splunk

Splunk

Splunk is a tool for storing and searching logs, specifically focused on security.

Zapier

Zapier

Zapier helps business people make custom integrations between their favorite tools, without needing to write any code.

All DevOps →
Security
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 Harness Engineering?

What's Harness Engineering?

If AI models are a commodity, the harness is the thing you want to own.

Paul IusztinPaul Iusztin

Recent

What does Turbopuffer do?

And what's going on in the category formerly known as vector databases?

David KrevittDavid Krevitt

What's Rust? Part 1: What is a Programming Language?Free

The fast, safe, super difficult to write programming language that’s finally getting its flowers.

Will RaphaelsonWill Raphaelson

What are code sandboxes?

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

Justin GageJustin Gage

How my non-engineering team at Sentry learned to shipFree

We moved 2,500 pages out of our CMS with Claude Code and Git. 4 months ago, most of us hadn't written code.

Matt HendersonMatt Henderson
AI ReferenceSee all →

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

Loss FunctionA loss function is something you design that tells the model when its answers are right and when they're wrong.ParametersParameters are the learned "knowledge" stored inside AI models—the numerical values that determine how the model responds to inputs. Pre-TrainingPre-training is the "undergrad degree" phase where the model builds its foundational knowledge and world model.TokenA token is the basic unit of a Large Language Model's vocabulary.
All about Infrastructure as Code

All about Infrastructure as CodeFree

The deceptively simple text files that help you avoid huge mistakes when shipping software.

Will RaphaelsonWill Raphaelson
What is Next.js?

What is Next.js?Free

The web framework your next vibe-coded app will probably be built in.

Justin GageJustin Gage
What's a Package Manager?

What's a Package Manager?

And why are AI labs buying them up?

Will RaphaelsonWill Raphaelson
AI, tractors and the productivity paradox

AI, tractors and the productivity paradoxFree

Where are AI's productivity gains hiding? What kitted out Model Ts can teach us.

Sachin BennySachin Benny
CompaniesSee all →

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

dbt Labsdbt Labs
dbt (no capitals) is a tool for transforming and organizing data in your warehouse.
GitlabGitlab
GitLab is a giant tool for literally anything you'd want to do relating to building and deploying software.
TwilioTwilio
Twilio makes a suite of products that helps you communicate with your customers via SMS, video, calls, and more.
ZapierZapier
Zapier helps business people make custom integrations between their favorite tools, without needing to write any code.
GlossarySee all →

Quick explanations of the concepts you see every day.

Markup LanguageA markup language, in software specifically used to distinguish something as not a programming language, is a system of tags that you can use to describe a structure.MicroservicesMicroservices (all hype aside) are a way of building your application as a series of small, interacting services instead of one giant bundle of code.Rate LimitA rate limit puts a cap on how much, and how fast, you can use a company’s API.RemoteRemote usually means a computer or server that’s not physically located with you at the moment.

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
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Contributors

Afzal JasaniAfzal JasaniChristy BieberChristy BieberDavid KrevittDavid KrevittJustin GageJustin GageKenny NingKenny NingMatt HendersonMatt HendersonPaul IusztinPaul IusztinSachin BennySachin BennySam SchneiderSam SchneiderSarah Krasnik BedellSarah Krasnik BedellSung Won ChungSung Won ChungWill 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 ↗

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?

  • 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.

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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