Загрузка видео...

Не удалось загрузить видео

На главную

Trying to understand a codebase? This technique BLEW MY MIND. Reto Meier told me to try uploading a code repo (after flipping all files to txt) and asking Google AI NotebookLM ( to make a podcast from just the code. It did, and it was crazmazing.

rseroter's profile picture

Richard Seroter

35,768 subscribers

20,869 просмотров • 1 год назад •via X (Twitter)

LIVE

Anya Rossi• Live Now

Private livecam show

Комментарии: 10

Фото профиля Ozgur Ozer
Ozgur Ozer1 год назад

@retomeier @GoogleAI I tried it just giving a link to Cursor and the result is very impressive

Фото профиля InverseAGI
InverseAGI1 год назад

@retomeier @GoogleAI Just tried this, so cool!

Фото профиля Raiza Martin
Raiza Martin1 год назад

@retomeier @GoogleAI oh my

Фото профиля AK Kulkarni
AK Kulkarni1 год назад

@retomeier @GoogleAI @tokumin @simpsoka cool use case!

Фото профиля Daniel Bartley
Daniel Bartley1 год назад

@retomeier @GoogleAI Is the video supposed to be black screen?

Фото профиля Richard Seroter
Richard Seroter1 год назад

@retomeier @GoogleAI Just audio of the generated "podcast".

Фото профиля Gene Kim
Gene Kim1 год назад

@retomeier @GoogleAI 🤯🤯🤯

Фото профиля 2024=2023+1 (e/acc)
2024=2023+1 (e/acc)1 год назад

@retomeier @GoogleAI I just upload my resume and wow!!! I am impressed about myself. 😀

Фото профиля Tanel Poder 🇺🇦
Tanel Poder 🇺🇦1 год назад

@retomeier @GoogleAI Next step, rename a binary to .txt and upload - see what are the disassembly/decompilation capabilities of this thing? 😅

Фото профиля Isaiah Stone
Isaiah Stone1 год назад

@retomeier @GoogleAI Curious how it'll do if you just add the link to the repo

Похожие видео

Google NotebookLM is absolutely insane, easily the best AI product out there, and it is free to use. The new Mindmap feature makes learning so easy. You can use it to understand your codebase. Just convert your codebase to a single file and try it out.
0:52

Google NotebookLM is absolutely insane, easily the best AI product out there, and it is free to use. The new Mindmap feature makes learning so easy. You can use it to understand your codebase. Just convert your codebase to a single file and try it out.

AshutoshShrivastava

240,949 просмотров • 1 год назад

Hermes learned my entire repo in minutes. I’m not exaggerating. I pointed the new /learn skill at my codebase… and watched it turn the repo into a reusable skill. Files. Patterns. Architecture. Commands. Workflows. It didn’t just “read” the repo. It created a playbook for how to work with it again later. This blew my mind. Memory remembers facts. Skills remember how to do the work. That’s the difference.
0:40

Hermes learned my entire repo in minutes. I’m not exaggerating. I pointed the new /learn skill at my codebase… and watched it turn the repo into a reusable skill. Files. Patterns. Architecture. Commands. Workflows. It didn’t just “read” the repo. It created a playbook for how to work with it again later. This blew my mind. Memory remembers facts. Skills remember how to do the work. That’s the difference.

Luke The Dev

48,867 просмотров • 1 месяц назад

The easiest way to build an MCP Server using Google DeepMind Gemini 2.5 Pro and get started! 1. Use Gitingest to get all the code and docs from the FastMCP repo 2. Download the code into a txt file 3. Go to AI Studio, upload the file, define what kind of MCP Server you want to build 4. Gemini 2.5 Pro builds it for you.
0:40

The easiest way to build an MCP Server using Google DeepMind Gemini 2.5 Pro and get started! 1. Use Gitingest to get all the code and docs from the FastMCP repo 2. Download the code into a txt file 3. Go to AI Studio, upload the file, define what kind of MCP Server you want to build 4. Gemini 2.5 Pro builds it for you.

Philipp Schmid

75,998 просмотров • 1 год назад

This is one of the coolest open-source AI agent projects I've seen in a while: 'Understand Anything' It's a plugin for Claude Code, Codex, OpenCode etc. that analyzes your codebase and turns it into a knowledge base that you can interact with. It explains the codebase to you, rather than showing you the structure. It seems like it's designed for code but I opened my Obsidian vault of podcast highlights in Claude Code, then ran /understand. The result is a knowledge graph that I can search of highlights from 888 podcast episodes and 144K lines of markdown text.
0:22

This is one of the coolest open-source AI agent projects I've seen in a while: 'Understand Anything' It's a plugin for Claude Code, Codex, OpenCode etc. that analyzes your codebase and turns it into a knowledge base that you can interact with. It explains the codebase to you, rather than showing you the structure. It seems like it's designed for code but I opened my Obsidian vault of podcast highlights in Claude Code, then ran /understand. The result is a knowledge graph that I can search of highlights from 888 podcast episodes and 144K lines of markdown text.

Dan McAteer

174,267 просмотров • 1 месяц назад

The new Screenshot to Code from Vercel v0 is insane. I just took a screenshot of a pricing table and it was converted into code using AI in seconds! It even outputs the code and allows you to modify any specific parts.
0:20

The new Screenshot to Code from Vercel v0 is insane. I just took a screenshot of a pricing table and it was converted into code using AI in seconds! It even outputs the code and allows you to modify any specific parts.

Alvaro Cintas

378,020 просмотров • 2 лет назад

Engineering is going to change forever. I just fed GPT-4-32K nearly all of Pinecone's docs, and the results blew my mind! It helped me make architecture decisions, and it then wrote my code for me. The future of AI-assisted development is here, and it's beyond impressive.
1:30

Engineering is going to change forever. I just fed GPT-4-32K nearly all of Pinecone's docs, and the results blew my mind! It helped me make architecture decisions, and it then wrote my code for me. The future of AI-assisted development is here, and it's beyond impressive.

Matt Shumer

503,079 просмотров • 3 лет назад

I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.
0:31

I tested a new coding assistant on 34,568 lines of code. (Cursor could not achieve what this tool did.) AI models are improving every day: - Faster inference - Longer context lengths But are AI coding assistants advancing at the same rate? Can they truly understand your entire project? I tested Augment Code on my ai-engineering repo with ~35k lines of code. Augment Code is a powerful AI Assistant built for developers working with large, evolving codebases—needing an assistant that understands the full context of their projects. In the video demo below, I asked it to: - Merge two projects. - Answer a global context question. Here’s what happened: - It understood dependencies across both projects. - It merged them intelligently—without breaking anything. - It even created a README file for the merged project. - It answered my global query instantly, pulling from the full codebase. This is the difference between AI autocomplete and an AI engineer that truly understands your repo. Augment Code is powerful because it indexes your entire repo upfront. This way, it can answer questions instantly, no matter how large your project is. Lastly, Augment Code is fully compatible with VSCode, JetBrains, Vim, Slack, and more. Try them now, I have shared a link in the next tweet! Thanks to Augment Code for showing me their powerful AI coding assistant and working with me on this post.

Akshay 🚀

30,856 просмотров • 1 год назад

Inspired by Andrej Karpathy & Farza 🇵🇰🇺🇸, introducing LLMwiki.. fully open source to help build yours. Inputs were tweets, bookmarks, iMessage/WhatsApp, and all my writing. Spent a bunch of time refining the frontend design to make it look great. Even though every single article here was written by AI, it was able to make surprisingly sharp connections. To make yours, just give the repo to Claude Code and it'll guide you!
0:42

Inspired by Andrej Karpathy & Farza 🇵🇰🇺🇸, introducing LLMwiki.. fully open source to help build yours. Inputs were tweets, bookmarks, iMessage/WhatsApp, and all my writing. Spent a bunch of time refining the frontend design to make it look great. Even though every single article here was written by AI, it was able to make surprisingly sharp connections. To make yours, just give the repo to Claude Code and it'll guide you!

Nikunj Kothari

32,765 просмотров • 4 месяцев назад

Google Gemini 2.0 realtime AI is insane. Watch me turn it into a live code tutor just by sharing my screen and talking to it. We’re living in future. I’m speechless.
5:37

Google Gemini 2.0 realtime AI is insane. Watch me turn it into a live code tutor just by sharing my screen and talking to it. We’re living in future. I’m speechless.

Mckay Wrigley

624,926 просмотров • 1 год назад

For those of you tired of yet another AI-based IDE: Check out Traycer. It's a Visual Studio Code extension (free forever for anyone working on open-source repositories), and it does something different from everyone else. You write a high-level prompt outlining the changes you want to make to your codebase, and the extension generates a plan for you before you touch the code. (It reminds me of GitHub Copilot Workspaces.) You can review the plan, understand exactly the changes the extension will make to your code, and make any modifications. When you are ready, you execute the plan, and Traycer stages all of the changes so you have a new opportunity to review everything. Only then does Traycer apply the changes. This is ideal for large codebases where you'd rather study the changes the AI plans to make before they make it into your code. Look at the video I recorded to see how it works. Thanks to the Traycer team for collaborating with me on this post!
7:27

For those of you tired of yet another AI-based IDE: Check out Traycer. It's a Visual Studio Code extension (free forever for anyone working on open-source repositories), and it does something different from everyone else. You write a high-level prompt outlining the changes you want to make to your codebase, and the extension generates a plan for you before you touch the code. (It reminds me of GitHub Copilot Workspaces.) You can review the plan, understand exactly the changes the extension will make to your code, and make any modifications. When you are ready, you execute the plan, and Traycer stages all of the changes so you have a new opportunity to review everything. Only then does Traycer apply the changes. This is ideal for large codebases where you'd rather study the changes the AI plans to make before they make it into your code. Look at the video I recorded to see how it works. Thanks to the Traycer team for collaborating with me on this post!

Santiago

84,497 просмотров • 1 год назад

This is CRAZY. You have to watch the video below. I uploaded all of my weekly newsletters to Google's notebook LM. I clicked a button and it generated a 22 minute audio podcast about all my newsletters. This was completely AI generated. (AI = Artificial Intelligence) It took a couple minutes to read 60+ pages of my newsletters and generate this podcast-style conversation. Absolutely mind blowing.
1:26

This is CRAZY. You have to watch the video below. I uploaded all of my weekly newsletters to Google's notebook LM. I clicked a button and it generated a 22 minute audio podcast about all my newsletters. This was completely AI generated. (AI = Artificial Intelligence) It took a couple minutes to read 60+ pages of my newsletters and generate this podcast-style conversation. Absolutely mind blowing.

Lou Stagner (Golf Stat Pro)

80,650 просмотров • 1 год назад

What if writing code was as simple as talking to your device? Watch my GPT-4 voice assistant: - take in a complex coding task - write the code - create a PR on my GitHub repo All I had to do was tell it what to do. This is the future of software.
3:09

What if writing code was as simple as talking to your device? Watch my GPT-4 voice assistant: - take in a complex coding task - write the code - create a PR on my GitHub repo All I had to do was tell it what to do. This is the future of software.

Mckay Wrigley

1,347,845 просмотров • 3 лет назад

Google Chief Scientist, Jeff Dean "AI now generates 25% of Google's integrated code" Google has already trained a Gemini model on its internal codebase to help developers this doesn’t cover everything, but it improves AI-assisted coding by integrating code into its parameters
0:35

Google Chief Scientist, Jeff Dean "AI now generates 25% of Google's integrated code" Google has already trained a Gemini model on its internal codebase to help developers this doesn’t cover everything, but it improves AI-assisted coding by integrating code into its parameters

Haider.

173,506 просмотров • 1 год назад

> downloaded Claude Code > thought it was just another AI chatbot > opened it up > found a chat bar > typed a prompt > nothing happened to my files > realized the difference > browser AI waits for you to bring your files > Claude Code goes into your folder > all 45 PDFs > all the transcripts > all the messy Excel sheets > reads them all > remembers them session after session > you never re-explain your project again > so before your next literature review, do this: > create a folder with all your papers > open it in Claude Code > write a CLAUDEmd with your role, field, and writing style > ask it to screen every PDF using your inclusion/exclusion criteria > let it rename, extract, and summarize while you think > the AI didn't replace your scholarship > it eliminated the 6 hours of grunt work before it starts
3:03:53

> downloaded Claude Code > thought it was just another AI chatbot > opened it up > found a chat bar > typed a prompt > nothing happened to my files > realized the difference > browser AI waits for you to bring your files > Claude Code goes into your folder > all 45 PDFs > all the transcripts > all the messy Excel sheets > reads them all > remembers them session after session > you never re-explain your project again > so before your next literature review, do this: > create a folder with all your papers > open it in Claude Code > write a CLAUDEmd with your role, field, and writing style > ask it to screen every PDF using your inclusion/exclusion criteria > let it rename, extract, and summarize while you think > the AI didn't replace your scholarship > it eliminated the 6 hours of grunt work before it starts

Blum

16,516 просмотров • 3 месяцев назад

I hooked up an iOS shortcut to GPT-4 and GitHub. Here’s how it works: - identifies the repo - identifies the target files - writes the code for me - creates a branch - commits changes Now I can code right on my Apple Watch with nothing but my voice!
1:23

I hooked up an iOS shortcut to GPT-4 and GitHub. Here’s how it works: - identifies the repo - identifies the target files - writes the code for me - creates a branch - commits changes Now I can code right on my Apple Watch with nothing but my voice!

Mckay Wrigley

1,283,934 просмотров • 3 лет назад

GPT Engineer github: Specify what you want it to build, the AI asks for clarification, and then builds it. GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.
1:01

GPT Engineer github: Specify what you want it to build, the AI asks for clarification, and then builds it. GPT Engineer is made to be easy to adapt, extend, and make your agent learn how you want your code to look. It generates an entire codebase based on a prompt.

AK

349,154 просмотров • 3 лет назад

Try out Gemini Code: a coding assistant in your terminal powered by Gemini 2.5 Pro. 💜 💜 Release Notes: → It's easy to get started, just run `pip install gemini-code` in a virtual environment, and then run `gemini` to initialize it. It requires your own API key, so don't forget to get one from → I built this because I love Claude Code and wanted a similar experience -- I like that I can just use my own API key and Gemini is generally way cheaper as well. → Found a bug? Feel free to fork the code and fix it (lol)! If you want to try to improve it, please do so - repo is public! → Reminder and a disclaimer that I don't work at Google and this is not an official Google project - just a weekend side hack → It is highly likely you'll get throttled by rate limits - I put as much info as I can in the guide so you know what behavior to expect when that happens. You can also set which default model to use if you want to switch to 1.5 Pro.
0:31

Try out Gemini Code: a coding assistant in your terminal powered by Gemini 2.5 Pro. 💜 💜 Release Notes: → It's easy to get started, just run `pip install gemini-code` in a virtual environment, and then run `gemini` to initialize it. It requires your own API key, so don't forget to get one from → I built this because I love Claude Code and wanted a similar experience -- I like that I can just use my own API key and Gemini is generally way cheaper as well. → Found a bug? Feel free to fork the code and fix it (lol)! If you want to try to improve it, please do so - repo is public! → Reminder and a disclaimer that I don't work at Google and this is not an official Google project - just a weekend side hack → It is highly likely you'll get throttled by rate limits - I put as much info as I can in the guide so you know what behavior to expect when that happens. You can also set which default model to use if you want to switch to 1.5 Pro.

Raiza Martin

159,723 просмотров • 1 год назад

With Google Antigravity, getting familiar with a new codebase is as simple as asking the right questions. 🎯Highlight any block of code to ask specific questions. 🔗Drag-and-drop multiple files together to instantly see how they interact. 🧜‍♀️Ask for a Mermaid diagram to map out the architecture.
0:37

With Google Antigravity, getting familiar with a new codebase is as simple as asking the right questions. 🎯Highlight any block of code to ask specific questions. 🔗Drag-and-drop multiple files together to instantly see how they interact. 🧜‍♀️Ask for a Mermaid diagram to map out the architecture.

Google Antigravity

108,833 просмотров • 6 месяцев назад

Got early access to from Thomas Dohmke... Git rebuilt for AI agents If you use Claude Code, Codex or Cursor, the gap is clear, software is no longer just code and deploy, it is also context and knowledge Entire keeps it in the repo... sessions, prompts, decisions stored next to the code Connected a few repos already, sync is one step and basically instant
0:33

Got early access to from Thomas Dohmke... Git rebuilt for AI agents If you use Claude Code, Codex or Cursor, the gap is clear, software is no longer just code and deploy, it is also context and knowledge Entire keeps it in the repo... sessions, prompts, decisions stored next to the code Connected a few repos already, sync is one step and basically instant

Daniel San

12,432 просмотров • 27 дней назад