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AI, it's not that ComplicatedAnalyzing Software CompaniesBuilding Software ProductsWorking with Data Teams
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"Subscribed for quick summaries of topics. Saves time. Googling and Youtube and collating info isn't convenient."

— 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

Training

Training is the process of creating an AI model and teaching it how to actually do something useful.

Neural Network

Neural networks are the mathematical brains behind modern AI—think of them as simplified versions of how your actual brain processes information.

Terms

Loss Function

When training a machine learning model, a loss function is something you design that tells the model when its answers are right and when they're wrong.

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.

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.

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.

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'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?

Terms

Relational database

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

Query

A query is how talk to your database.

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 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.

Terms

Networking

Networking in software engineering refers to connecting two or more different things.

Technical Debt

Technical debt is a term developers use to refer to all of the annoying thorns they need to deal with because of past decisions someone made in their codebase and architecture.

Companies
Vercel

Vercel

Vercel builds the AI cloud – they make it easy for engineers to deploy and run the user facing (frontend) + AI parts of their applications.

Splunk

Splunk

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

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

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.

Companies
WorkOS

WorkOS

WorkOS gives developers the building blocks for enterprise login, like single sign-on and user provisioning, so they don't have to build them from scratch.

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 a decision model?

What's a decision model?

And why do we need models like Jev?

Sam SchneiderSam Schneider

Recent

What does LangChain do?

What started as a humble LLM framework has become an everything store for agents.

David KrevittDavid Krevitt

The Vibe Coder's Guide to Cloud + ScalingFree

How to survive your app going viral.

Will RaphaelsonWill Raphaelson

What's DuckDB?Free

Meet the world's friendliest database (allegedly).

Garrett O'BrienGarrett O'Brien

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
All posts →

Technically Speaking, hosted by Megan Reynolds, presented by Railway

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.)

Season 1 starts Thursday, October 22.

Listen on
YouTubeApple PodcastsSpotify
Or use the RSS feed

Coming soon

  • Episode 1 · Out Thu, Oct 22

    We can do better than --dangerously-skip-permissions

    Michael GrinichFounder & CEO at WorkOS
  • Episode 2 · Out Thu, Oct 29

    What does an AI researcher actually do?

    Jonathan FrankleChief AI Scientist at Databricks
  • Episode 3 · Out Thu, Nov 5

    What DeepSeek figured out, and why you shouldn't copy it

    Julien LaunayCofounder at Adaptive MLSesh NallaVP of Engineering at Datadog

On the calendar

  1. Episode 4 · Thu, Nov 12Jake Cooper, Founder and CEO at Railway
  2. Episode 5 · Thu, Nov 19Guest to be announced, Head of HardwareGuest Name, Head of Hardware at Company
  3. Episode 6 · Thu, Dec 3Guest to be announced, CEOGuest Name, CEO at Company
  4. Episode 7 · Thu, Dec 10Guest to be announced, Co-founder and CEOGuest Name, Co-founder and CEO at Company
  5. Episode 8 · Thu, Dec 17Guest to be announced, Co-founder and CEOGuest Name, Co-founder and CEO at Company
About the show →
AI ReferenceSee all →

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

HallucinationAI hallucination is when AI models confidently generate information that's completely made up or wrong.Post-TrainingPost-training turns a model from a knowledgeable blob that produces rambling answers, into a helpful assistant.ReasoningAI reasoning is how artificial intelligence systems solve problems, think through complex situations, and draw conclusions from available information.TrainingTraining is the process of creating an AI model and teaching it how to actually do something useful.
What is Google doing with AI?

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 + Security

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

How to use open-weight AI models

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

Will RaphaelsonWill Raphaelson
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
CompaniesSee all →

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

DigitalOceanDigitalOcean
DigitalOcean is an independent infrastructure as a service provider; you can think of them as AWS or GCP, but for the people.
LangChainLangChain
LangChain helps developers build AI experiences into their products.
SegmentSegment
Segment helps teams track their product and marketing data and send it to whichever tools it needs to go to.
SnowflakeSnowflake
Snowflake sells a powerful cloud data warehouse for analytics and data science teams.
GlossarySee all →

Quick explanations of the concepts you see every day.

QueryA query is how talk to your database.RenderRendering means a lot of different things in software, but the theme is: something gets painted or drawn on a screen.Technical DebtTechnical debt is a term developers use to refer to all of the annoying thorns they need to deal with because of past decisions someone made in their codebase and architecture.Vector DatabaseA vector database is a place where developers store specially formatted data to use for machine learning and AI.

Contributors

Afzal JasaniAfzal JasaniChristy BieberChristy BieberDavid KrevittDavid KrevittGarrett O'BrienGarrett O'BrienJustin GageJustin GageKenny NingKenny NingMatt HendersonMatt HendersonMegan ReynoldsMegan ReynoldsPaolo 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: Auth + Security

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

  • 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.

  • 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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"Very helpful technical detail, with enough abstraction that it's incredibly useful & digestible for people with only semi-technical backgrounds."

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"Subscribed for quick summaries of topics. Saves time. Googling and Youtube and collating info isn't convenient."

— RB

"I'm a PM and Technically has allowed me better bridge the gap between user problems and how our system works under the hood. It's given me more confidence to push back or participate."

— Adelaide Hallowell

"I'm a Product Manager working for a highly technical product so really appreciate you trying to break things down for us :)"

— Kash

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