Video wird geladen...

Video konnte nicht geladen werden

Beim Laden dieses Videos ist ein Problem aufgetreten. Dies könnte an einem vorübergehenden Netzwerkproblem liegen oder das Video ist möglicherweise nicht verfügbar.

Top 1 upgrade for your development environment: Start using Dev Containers. During every cohort of my Machine Learning Engineering program, 100+ developers try to run a complex system on their computers. I was wasting 10+ hours every week troubleshooting individual configurations. It was exhausting! I started using Dev Container,... show more

Santiago

438,996 subscribers

63,246 Aufrufe • vor 1 Jahr •via X (Twitter)

Gesundheit & Wellness Wissenschaft & Technologie Bildung

Anya Rossi• Live Now

Private livecam show

11 Kommentare

Profilbild von Santiago

Santiagovor 1 Jahr

The next cohort starts in August. It's going to be the biggest one yet, so make sure you secure your spot now.

Profilbild von Santiago

Santiagovor 1 Jahr

Here is the video on YouTube:

Profilbild von The Rundown AI

The Rundown AIvor 1 Jahr

If you're not learning AI in 2025, you're falling behind. Join 1,000,000+ early adopters reading and learn AI in just 5 minutes a day (for free).

Profilbild von Maxime Rivest 🧙‍♂️🦙

Maxime Rivest 🧙‍♂️🦙vor 1 Jahr

but now how will they learn the hardest thing about using python? i.e. managing development environments 😅

Profilbild von Jude Joule

Jude Joulevor 1 Jahr

Adopting Dev Containers streamlined our workflow significantly. Thanks for the practical guidance.

Profilbild von wambo.

wambo.vor 1 Jahr

What do you mean ML in a container? Are people actually training models in containers? Wouldn't that impact training efficiency noticeably?

Profilbild von Brandon Keyyy

Brandon Keyyyvor 1 Jahr

Curious: What's the top Dev Container tip for AI setups? Must be a relief to cut down on setup woes and jump straight into the good stuff!

Profilbild von Liberty Records - N°7✌️❤️

Liberty Records - N°7✌️❤️vor 1 Jahr

My advice : just install docker desktop, and always ask the Ai to set up your projects in it (it is also a dev container + a service server). It is super convenient. Will have to check again you bid to understand the diff with docker in what you show.

Profilbild von David Nix

David Nixvor 1 Jahr

How about no containers? For my personal projects I just need 1 running process. Not even a separate db server since I use SQLite.

Profilbild von Python and Chess

Python and Chessvor 1 Jahr

Can I provide constructive criticism for the video? 1. What you’re working on (like code, config) should be bigger. 2. Your video image should be smaller. 💪

Profilbild von Gabriel Rymberg

Gabriel Rymbergvor 1 Jahr

@threadreaderapp unroll

Ähnliche Videos

Here is how to set up a team of AI agents to work on your project without disrupting anything. This is the top 1 upgrade you can do to your development environment: Start using dev containers to isolate agents and run them in parallel in their own cloud containers. Let me show you:

Here is how to set up a team of AI agents to work on your project without disrupting anything. This is the top 1 upgrade you can do to your development environment: Start using dev containers to isolate agents and run them in parallel in their own cloud containers. Let me show you:

Santiago

22,742 Aufrufe • vor 8 Monaten

I'm now running my project inside a Dev Container in Cursor. I went from a dozen troubleshooting sessions every week trying to fix people's environments to zero. Dev Containers just work. More developers should consider them.

I'm now running my project inside a Dev Container in Cursor. I went from a dozen troubleshooting sessions every week trying to fix people's environments to zero. Dev Containers just work. More developers should consider them.

Santiago

136,136 Aufrufe • vor 1 Jahr

Development containers are awesome, especially when you can swap the hardware running your environment without changing a single thing. Apparently, I've been living under a rock because I didn't know about this. I recorded a 3-min video to show you Gitpod Flex running on my laptop. This takes less than 5 minutes to configure and run. Here is a quick summary: 1. One click to run any of my GitHub projects in a container, isolated from everything else. 2. I can use Visual Studio Code, JetBrains, Cursor, or any other IDE that supports development containers. 3. I don't have to mess up with my computer anymore (or have 17 versions of Python installed) ← this alone is awesome! 4. I can spin up a runner in AWS with my dev container and have access to any hardware I want while developing. 5. I can configure one-click buttons to run services and tasks I need every day. 6. I can share the environment with anyone on my team. I left this for the end, but I know this is one of the most important features of Gitpod Flex: They built a zero-trust architecture to manage these development environments. This is huge for those working at companies where security is crucial. Below is the link with an explanation of how they built their architecture. Thanks to the Gitpod team for their work on Flex and for sponsoring this post. I have it running now, and I'm planning to keep using it!

Development containers are awesome, especially when you can swap the hardware running your environment without changing a single thing. Apparently, I've been living under a rock because I didn't know about this. I recorded a 3-min video to show you Gitpod Flex running on my laptop. This takes less than 5 minutes to configure and run. Here is a quick summary: 1. One click to run any of my GitHub projects in a container, isolated from everything else. 2. I can use Visual Studio Code, JetBrains, Cursor, or any other IDE that supports development containers. 3. I don't have to mess up with my computer anymore (or have 17 versions of Python installed) ← this alone is awesome! 4. I can spin up a runner in AWS with my dev container and have access to any hardware I want while developing. 5. I can configure one-click buttons to run services and tasks I need every day. 6. I can share the environment with anyone on my team. I left this for the end, but I know this is one of the most important features of Gitpod Flex: They built a zero-trust architecture to manage these development environments. This is huge for those working at companies where security is crucial. Below is the link with an explanation of how they built their architecture. Thanks to the Gitpod team for their work on Flex and for sponsoring this post. I have it running now, and I'm planning to keep using it!

Santiago

33,098 Aufrufe • vor 1 Jahr

This is the best learning environment you'll find anywhere. I created it using a combination of Google's Project IDX and a custom Visual Studio Code extension I built. Project IDX was one of the best discoveries I made late in 2024. It's an AI-based cloud IDE built by Google. I used it during my last cohort, and it immediately saved me 20-30 hours of troubleshooting other people's environments. The extension I built is the cherry on top here. I'm 100% sure every single student will be spoiled forever after they take my class. I'm beyond excited about this. Classes start in a week.

This is the best learning environment you'll find anywhere. I created it using a combination of Google's Project IDX and a custom Visual Studio Code extension I built. Project IDX was one of the best discoveries I made late in 2024. It's an AI-based cloud IDE built by Google. I used it during my last cohort, and it immediately saved me 20-30 hours of troubleshooting other people's environments. The extension I built is the cherry on top here. I'm 100% sure every single student will be spoiled forever after they take my class. I'm beyond excited about this. Classes start in a week.

Santiago

33,955 Aufrufe • vor 1 Jahr

I built a Visual Studio Code extension to turn Visual Studio code into a custom learning environment for my Machine Learning class. Attached, you'll see a 2-minute video of how it works. I haven't tried this with my students yet (the February cohort will be the first to do so), but I think it will be huge. I wish more people would offer a learning experience like this. My next cohort starts in February and you can join at You'll get lifetime access to the best Machine Learning engineering cohort online.

I built a Visual Studio Code extension to turn Visual Studio code into a custom learning environment for my Machine Learning class. Attached, you'll see a 2-minute video of how it works. I haven't tried this with my students yet (the February cohort will be the first to do so), but I think it will be huge. I wish more people would offer a learning experience like this. My next cohort starts in February and you can join at You'll get lifetime access to the best Machine Learning engineering cohort online.

Santiago

82,704 Aufrufe • vor 1 Jahr

metacognition is self-custody for your brain. most people are running custodial consciousness. short rant on why I think learning how to dev your own mind will be the best skill to have in 2026:

metacognition is self-custody for your brain. most people are running custodial consciousness. short rant on why I think learning how to dev your own mind will be the best skill to have in 2026:

Mika

16,413 Aufrufe • vor 4 Monaten

Teach your repo how to run itself 🦾💨 Introducing Keystone: a self-configuring agent inside a sandboxed @Modal container that generates a working dev container for any repo → pip install imbue-keystone

Teach your repo how to run itself 🦾💨 Introducing Keystone: a self-configuring agent inside a sandboxed @Modal container that generates a working dev container for any repo → pip install imbue-keystone

Imbue

18,700 Aufrufe • vor 2 Monaten

ICYMI Stripe ships over 1000 AI-written pull requests every week with their team of "Minions." I got Steve Kaliski to show me how it works. The trick? A happy slack emoji + great dev tooling. Each Minion spins up an isolated environment that lets engineers run dozens of agents in parallel without melting your laptop (or getting them into each other's code). Great for human engs, and a better way to make your background agents successful. In this ep, we walk through: - How Stripe reviews all those PRs (without losing their minds) - Convincing your team to invest in DevX - How to kick of dev tasks from the subway Steve also uses the 🤯 Machine Payments protocol to have his autonomous agent plan a matcha-themed bday party for $5.47 BIG thank you to our wonderful sponsors: 🪄 Optimizely - Your AI agent orchestration platform for marketing and digital teams: 🚀Rippling - stop wasting time on admin tasks, build your startup faster: Full episode out now:

ICYMI Stripe ships over 1000 AI-written pull requests every week with their team of "Minions." I got Steve Kaliski to show me how it works. The trick? A happy slack emoji + great dev tooling. Each Minion spins up an isolated environment that lets engineers run dozens of agents in parallel without melting your laptop (or getting them into each other's code). Great for human engs, and a better way to make your background agents successful. In this ep, we walk through: - How Stripe reviews all those PRs (without losing their minds) - Convincing your team to invest in DevX - How to kick of dev tasks from the subway Steve also uses the 🤯 Machine Payments protocol to have his autonomous agent plan a matcha-themed bday party for $5.47 BIG thank you to our wonderful sponsors: 🪄 Optimizely - Your AI agent orchestration platform for marketing and digital teams: 🚀Rippling - stop wasting time on admin tasks, build your startup faster: Full episode out now:

claire vo 🖤

41,177 Aufrufe • vor 2 Monaten

An end-to-end Machine Learning system, starting with a dataset and going all the way to monitoring it in production. We start next Monday! We'll build everything using open-source tools, and I'll show you how to deploy your system on different cloud platforms. I've been running this live course for 1.5+ years now, and about 1,500 students have taken it. It's the best Machine Learning Engineering class I'm aware of by 10 miles. More information is in the attached video. Link to join below. See you next week!

An end-to-end Machine Learning system, starting with a dataset and going all the way to monitoring it in production. We start next Monday! We'll build everything using open-source tools, and I'll show you how to deploy your system on different cloud platforms. I've been running this live course for 1.5+ years now, and about 1,500 students have taken it. It's the best Machine Learning Engineering class I'm aware of by 10 miles. More information is in the attached video. Link to join below. See you next week!

Santiago

36,607 Aufrufe • vor 1 Jahr

Wanna start dev Starknet projects ? Made a quick tool using kickstart, a Rust CLI to easily get a new project up and running by using pre-made templates. It will create a ready to use project using the great Starknet Foundry toolchain.

Wanna start dev Starknet projects ? Made a quick tool using kickstart, a Rust CLI to easily get a new project up and running by using pre-made templates. It will create a ready to use project using the great Starknet Foundry toolchain.

abdel

13,905 Aufrufe • vor 2 Jahren

Dev Containers in #VSCode? Yes, please! Pamela Fox celebrates 50 million #VSCode and #VisualStudio users by showing off how her favorite extension lets you use a container as a full-featured development environment. Let’s keep the celebration going. Reply to share your favorite extension with us. ...and be sure to use #VS50M and #sweepstakes for a chance to win a limited-edition T-shirt. 👕 (Rules: 18+. Ends 7/6/25.

Dev Containers in #VSCode? Yes, please! Pamela Fox celebrates 50 million #VSCode and #VisualStudio users by showing off how her favorite extension lets you use a container as a full-featured development environment. Let’s keep the celebration going. Reply to share your favorite extension with us. ...and be sure to use #VS50M and #sweepstakes for a chance to win a limited-edition T-shirt. 👕 (Rules: 18+. Ends 7/6/25.

Visual Studio Code

26,656 Aufrufe • vor 1 Jahr

This is extremely promising and the best use case of Operator so far! OpenAI ChatGPT Operator is great for testing my local dev environment to see if my feature is working! Tunnel Operator to your local dev env and let it test your feature. Waiting for an API and Cursor to integrate it.

This is extremely promising and the best use case of Operator so far! OpenAI ChatGPT Operator is great for testing my local dev environment to see if my feature is working! Tunnel Operator to your local dev env and let it test your feature. Waiting for an API and Cursor to integrate it.

Kieran Klaassen

298,700 Aufrufe • vor 1 Jahr

Built an open-source Jupyter Notebook that brings the power of OpenAI's code interpreter into your local Python development environment. Watch how easy it is to use Thread to edit code I wrote, chat with my notebook, or generate charts just using prompts. We built Thread using Next.js, Chakra and Project Jupyter and you can install it by running: pip install thread-dev

Built an open-source Jupyter Notebook that brings the power of OpenAI's code interpreter into your local Python development environment. Watch how easy it is to use Thread to edit code I wrote, chat with my notebook, or generate charts just using prompts. We built Thread using Next.js, Chakra and Project Jupyter and you can install it by running: pip install thread-dev

Ali Shobeiri

112,614 Aufrufe • vor 2 Jahren

One of my top priorities at Abstract currently is improving the dev experience of using AI tools to build on Abstract. I'm convinced that the future of dev rel is about optimizing for AI. Here is a demo of me one-shot prompting an Abstract Global Wallet integration in Cursor:

One of my top priorities at Abstract currently is improving the dev experience of using AI tools to build on Abstract. I'm convinced that the future of dev rel is about optimizing for AI. Here is a demo of me one-shot prompting an Abstract Global Wallet integration in Cursor:

Jarrod Watts

19,900 Aufrufe • vor 1 Jahr

How is this not a global story? 30+ people ready to come forward, “There's not drugs that they're putting in the shipping containers — it's humans” “I'm thinking for years it's drugs, and it's a much sinister thing. But it makes sense because they use natural disasters that people are going to be missing anyway.” Additional testimony from cargo ship worker: “How are they moving these people all around the world? I believe it's through container ships. I'm currently standing on a container ship with roughly 10,000 containers. Maybe 5 to 10% of the cargo that comes in and out of the United States is scanned, X-rayed, and looked at by CBP. Any one of these containers you see on this ship could have about 75 people in it.” “We know, I've talked to CBP agents before, they have found containers with advanced life support systems, food and supplies for these people to live in these containers for a substantial amount of time while they move from port to port. I believe it's a huge problem. I honestly believe I have seen with my own eyes. I have seen families. I have seen children.”

How is this not a global story? 30+ people ready to come forward, “There's not drugs that they're putting in the shipping containers — it's humans” “I'm thinking for years it's drugs, and it's a much sinister thing. But it makes sense because they use natural disasters that people are going to be missing anyway.” Additional testimony from cargo ship worker: “How are they moving these people all around the world? I believe it's through container ships. I'm currently standing on a container ship with roughly 10,000 containers. Maybe 5 to 10% of the cargo that comes in and out of the United States is scanned, X-rayed, and looked at by CBP. Any one of these containers you see on this ship could have about 75 people in it.” “We know, I've talked to CBP agents before, they have found containers with advanced life support systems, food and supplies for these people to live in these containers for a substantial amount of time while they move from port to port. I believe it's a huge problem. I honestly believe I have seen with my own eyes. I have seen families. I have seen children.”

Wall Street Apes

219,029 Aufrufe • vor 1 Jahr

#1 skill for developers in 2026: Automate everything you can using AI. I bet my lunch your team is dealing with all of these: • Stale documentation • Outdated dependencies • Poor test coverage • Deprecated APIs Every company I work with has these same problems. You can solve all of these right now. Automatically. Using AI. Here are 3 examples. Watch the attached video: I'm using Ona Automations to tackle this. These are background agents that run in the cloud, in a fully configured dev environment with your toolchain, your dependencies, and your services. You can run an unlimited number of these agents in parallel and across all your repositories. Claude Code and Codex only run locally, so they are hard to scale, and you can't run them when your computer is closed. Ona runs in the cloud. Here are the three examples: 1. Test coverage Run a nightly automation to identify any untested code paths, generate candidate tests, verify they pass, and open draft PRs. You wake up every morning to PRs that improve your test coverage. 2. Dependency upgrades Configure a weekly automation that bumps a dependency version, runs your full test suite, and reports any regressions. If everything is clean, it opens a PR. If something breaks, it opens a report so you can decide what to do. 3. Documentation auditing Set up a weekly automation that checks recent commits against your README file and setup guides, identifies broken examples and outdated instructions, and opens a PR with fixes.

#1 skill for developers in 2026: Automate everything you can using AI. I bet my lunch your team is dealing with all of these: • Stale documentation • Outdated dependencies • Poor test coverage • Deprecated APIs Every company I work with has these same problems. You can solve all of these right now. Automatically. Using AI. Here are 3 examples. Watch the attached video: I'm using Ona Automations to tackle this. These are background agents that run in the cloud, in a fully configured dev environment with your toolchain, your dependencies, and your services. You can run an unlimited number of these agents in parallel and across all your repositories. Claude Code and Codex only run locally, so they are hard to scale, and you can't run them when your computer is closed. Ona runs in the cloud. Here are the three examples: 1. Test coverage Run a nightly automation to identify any untested code paths, generate candidate tests, verify they pass, and open draft PRs. You wake up every morning to PRs that improve your test coverage. 2. Dependency upgrades Configure a weekly automation that bumps a dependency version, runs your full test suite, and reports any regressions. If everything is clean, it opens a PR. If something breaks, it opens a report so you can decide what to do. 3. Documentation auditing Set up a weekly automation that checks recent commits against your README file and setup guides, identifies broken examples and outdated instructions, and opens a PR with fixes.

Santiago

25,691 Aufrufe • vor 3 Monaten

I recorded a gentle introduction to building RAG applications using open-source models. Prerequisite: You should be comfortable reading Python. I wanted to record a video to introduce as many people as possible to building RAG applications and using Large Language Models. Here, I tried to stay away from complex jargon and break everything down as simple as possible. Some of the topics I cover here: • Fundamental components of a RAG application • How to use Llama 3.1 running locally • How to use Lightning AI Studio's dev platform and GPUs • How to orchestrate everything using Langchain It's a long video with lots of detailed explanations. Here is a link to the video (what you see attached is just a trailer): You'll find a link to all of the code in the video description.

I recorded a gentle introduction to building RAG applications using open-source models. Prerequisite: You should be comfortable reading Python. I wanted to record a video to introduce as many people as possible to building RAG applications and using Large Language Models. Here, I tried to stay away from complex jargon and break everything down as simple as possible. Some of the topics I cover here: • Fundamental components of a RAG application • How to use Llama 3.1 running locally • How to use Lightning AI Studio's dev platform and GPUs • How to orchestrate everything using Langchain It's a long video with lots of detailed explanations. Here is a link to the video (what you see attached is just a trailer): You'll find a link to all of the code in the video description.

Santiago

69,223 Aufrufe • vor 1 Jahr

Introducing the new dev-browser cli. The fastest way for an agent to use a browser is to let it write code. Just `npm i -g dev-browser` and tell your agent to "use dev-browser"

Introducing the new dev-browser cli. The fastest way for an agent to use a browser is to let it write code. Just `npm i -g dev-browser` and tell your agent to "use dev-browser"

Sawyer Hood

861,012 Aufrufe • vor 2 Monaten

1. Posting the prompts used to make the Mathl33t game. About 100 prompts and an hour of "dev" 2. It's now live on a domain for you to try

1. Posting the prompts used to make the Mathl33t game. About 100 prompts and an hour of "dev" 2. It's now live on a domain for you to try

Wes Bos

24,830 Aufrufe • vor 1 Jahr

Now to onboard more builders. We've put together a short dev onboarding video walking through: - Part 1: How to set up your provider agent config on - Part 2: How to set up a requestor agent config to run tests with the provider agent Next time we'll show you how to get started with testing these agent using our SDK examples! If you're exploring monetising your agent for agent-to-agent or consumer-to-agent commerce, start here. Part 1:

Now to onboard more builders. We've put together a short dev onboarding video walking through: - Part 1: How to set up your provider agent config on - Part 2: How to set up a requestor agent config to run tests with the provider agent Next time we'll show you how to get started with testing these agent using our SDK examples! If you're exploring monetising your agent for agent-to-agent or consumer-to-agent commerce, start here. Part 1:

Celeste Ang

33,831 Aufrufe • vor 4 Monaten