Video yükleniyor...

Video Yüklenemedi

Bu video yüklenirken bir sorun oluştu. Bu geçici bir ağ sorunundan kaynaklanıyor olabilir veya video kullanılamıyor olabilir.

Ana Sayfaya Dön

Underrated feature of advanced cloud agents like Devin: Infinitely parallelizable human-grade UI testing. They - Stand up a live environment with secrets - Inspect code changes - Plan a comprehensive end-to-end test - Handle real authentication + identity - Use computer vision + mouse-and-keyboard control to test the app... show more

nader dabit

190,173 subscribers

104,386 görüntüleme • 9 gün önce •via X (Twitter)

Bilim & Teknoloji

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

Today, we launched browser use inside Codex to further close the build & verify loop for local development! Now, you can ask Codex to build your front end, and test it like a user would by clicking through the app. Codex sees everything a user sees through vision & checks the network/console logs to help debug & fix any issues that it finds. This change brings us closer to fully autonomous coding agents that delivers high quality and tested changes. Watch Codex test my app in the browser, catch & fix a real bug, and doing that loop again with a brand new feature.

James Sun

226,445 görüntüleme • 3 ay önce

Codex can now use the in-app browser to test your app at different viewport sizes! It will control the device tool bar and click through your app at different breakpoints to validate & iterate. If it's a long run, Codex will take screenshots at key moments during testing and show them to you at the end of the turn, so you can verify its work. To speed up testing, Codex can hide the IAB to disable animations, and accelerate testing by 1-2x. Separately, we also made annotations send faster and consume less tokens. Hope you enjoy the updates and let us know what you think!

Codex can now use the in-app browser to test your app at different viewport sizes! It will control the device tool bar and click through your app at different breakpoints to validate & iterate. If it's a long run, Codex will take screenshots at key moments during testing and show them to you at the end of the turn, so you can verify its work. To speed up testing, Codex can hide the IAB to disable animations, and accelerate testing by 1-2x. Separately, we also made annotations send faster and consume less tokens. Hope you enjoy the updates and let us know what you think!

James Sun

227,769 görüntüleme • 2 ay önce

Uber had entire floors of people doing manual testing and manually clicking through the app, checking whether the app worked. It still wasn't enough, and it was too expensive They used deterministic script frameworks like Appium and XCUITest, but engineers ended up spending 50% of their time just maintaining test cases because of their brittle nature. This is a clip from a conversation with one of my DragonCrawl teammates and the overall goat, Juan Lopez Marcano, discussing the problems Uber faced at scale with end to end mobile testing.

Uber had entire floors of people doing manual testing and manually clicking through the app, checking whether the app worked. It still wasn't enough, and it was too expensive They used deterministic script frameworks like Appium and XCUITest, but engineers ended up spending 50% of their time just maintaining test cases because of their brittle nature. This is a clip from a conversation with one of my DragonCrawl teammates and the overall goat, Juan Lopez Marcano, discussing the problems Uber faced at scale with end to end mobile testing.

Anam Hira

233,602 görüntüleme • 8 ay önce

Shipping speed is up across the board, and AI tools like Gemini 3 Pro are helping us code and build faster than ever. But validation and quality assurance? Still the bottleneck. That’s why I’m integrating TestSprite into my workflow. It analyzes my code and PRD, automatically builds a comprehensive test layer, and keeps my development flow unbroken. No test writing. No last-minute QA chaos. What it covers: ➞ UI Flow Coverage: Verifies real-time updates and synchronization (e.g., confirming gradient sliders and angle controls work together). ➞ Edge Case Validation: Catches subtle logic bugs like inputs accepting out-of-range values that I'd typically miss. ➞ Functionality Check: Automatically runs videos to ensure core features (like "Randomize" and "Copy to Clipboard") are working. ➞ Repeatable Test Suite: Creates tests I can rerun anytime, giving me confidence that new code hasn't broken the old. My new Antigravity + Test Sprite Loop: ➞ AI Plan & Code: Use Antigravity's Planning Mode with Gemini 3 Pro to generate structured code. ➞ Browser Agent QA: Use Antigravity's Open Browser feature to let the AI visually analyze and control the live UI for quick verification. ➞ Validate & Test: Run the automated, reproducible test suite in Test Sprite. ➞ Ship. This loop feels clean, fast, and robust. Works beautifully alongside Gemini 3 Pro, Cloud Sonet, or any AI stack.

Shipping speed is up across the board, and AI tools like Gemini 3 Pro are helping us code and build faster than ever. But validation and quality assurance? Still the bottleneck. That’s why I’m integrating TestSprite into my workflow. It analyzes my code and PRD, automatically builds a comprehensive test layer, and keeps my development flow unbroken. No test writing. No last-minute QA chaos. What it covers: ➞ UI Flow Coverage: Verifies real-time updates and synchronization (e.g., confirming gradient sliders and angle controls work together). ➞ Edge Case Validation: Catches subtle logic bugs like inputs accepting out-of-range values that I'd typically miss. ➞ Functionality Check: Automatically runs videos to ensure core features (like "Randomize" and "Copy to Clipboard") are working. ➞ Repeatable Test Suite: Creates tests I can rerun anytime, giving me confidence that new code hasn't broken the old. My new Antigravity + Test Sprite Loop: ➞ AI Plan & Code: Use Antigravity's Planning Mode with Gemini 3 Pro to generate structured code. ➞ Browser Agent QA: Use Antigravity's Open Browser feature to let the AI visually analyze and control the live UI for quick verification. ➞ Validate & Test: Run the automated, reproducible test suite in Test Sprite. ➞ Ship. This loop feels clean, fast, and robust. Works beautifully alongside Gemini 3 Pro, Cloud Sonet, or any AI stack.

Dhaval Makwana

110,884 görüntüleme • 7 ay önce

After months of stealth work I’d like to finally introduce my new app to the #ICPFamily! This app lets any user create a personal asset canister that only they own using just a wallet. It also provides a file explorer in the browser to let users upload and manage their files on chain. Features: • Code-free autonomous canister creation. • Familiar file explorer interface. • Drag and drop file upload. • Supports Plug, Stoic, and NFID. • Works on mobile with NFID. The app is currently in a whitelisted beta as I finish up testing but I’m happy to allow anyone early access. There are a lot of features still on the way including share via QR-code, named canisters, and even automatic cycles top-up. This app was meant for everyone to be able to use so I look forward to hearing everyone’s thoughts, feedback, and feature requests. The link to the deployed app is below, just login and dm me the principal at the bottom for whitelist :)

After months of stealth work I’d like to finally introduce my new app to the #ICPFamily! This app lets any user create a personal asset canister that only they own using just a wallet. It also provides a file explorer in the browser to let users upload and manage their files on chain. Features: • Code-free autonomous canister creation. • Familiar file explorer interface. • Drag and drop file upload. • Supports Plug, Stoic, and NFID. • Works on mobile with NFID. The app is currently in a whitelisted beta as I finish up testing but I’m happy to allow anyone early access. There are a lot of features still on the way including share via QR-code, named canisters, and even automatic cycles top-up. This app was meant for everyone to be able to use so I look forward to hearing everyone’s thoughts, feedback, and feature requests. The link to the deployed app is below, just login and dm me the principal at the bottom for whitelist :)

Daniel

113,776 görüntüleme • 2 yıl önce

Simple mental model for cloud agents: clone the exact state of your laptop, multiply it infinitely, and make it accessible via HTTP. Most people still don't know cloud agents can spin up full Linux, Windows, Android, etc.. environments on demand, run computer-use tests, record annotated video proof of your app working through updates, drive Playwright against live Chrome with persistent auth, all triggerable from anywhere. Here I'm experimenting with a fork of Nous Research Hermes Agent built specifically on low latency. I've set up a Devin automation that checks Hermes daily for upstream changes, implements the updates, runs tests to make sure it works, sends me proof that it does, creates a PR, and reviews it. All I have to do to keep the fork up to date is review the daily morning PR.

Simple mental model for cloud agents: clone the exact state of your laptop, multiply it infinitely, and make it accessible via HTTP. Most people still don't know cloud agents can spin up full Linux, Windows, Android, etc.. environments on demand, run computer-use tests, record annotated video proof of your app working through updates, drive Playwright against live Chrome with persistent auth, all triggerable from anywhere. Here I'm experimenting with a fork of Nous Research Hermes Agent built specifically on low latency. I've set up a Devin automation that checks Hermes daily for upstream changes, implements the updates, runs tests to make sure it works, sends me proof that it does, creates a PR, and reviews it. All I have to do to keep the fork up to date is review the daily morning PR.

nader dabit

109,240 görüntüleme • 3 gün önce

One feature of Vision Pro that is vastly underrated is its magnificent and beautifully crafted software design, making visionOS truly one of a kind. As a UI designer, it’s incredibly satisfying to experience these designs up close while they remain stunningly sharp. It’s my kind of ASMR. On what would have been Steve’s 70th birthday, I can only imagine how much he would appreciate the care and attention we continue to give to human interface design today.

One feature of Vision Pro that is vastly underrated is its magnificent and beautifully crafted software design, making visionOS truly one of a kind. As a UI designer, it’s incredibly satisfying to experience these designs up close while they remain stunningly sharp. It’s my kind of ASMR. On what would have been Steve’s 70th birthday, I can only imagine how much he would appreciate the care and attention we continue to give to human interface design today.

Phil Traut ᯅ

65,720 görüntüleme • 1 yıl önce

"If you're in tech, run in one of these directions." In this clip, Amjad Masad (CEO Replit ⠕) shares two paths to future-proof your career in the AI era: 1. Get as close to the metal as possible (e.g., NASA won't use GPT-Javascript to run rockets) OR 2. Become a generalist who can go from idea to end product with AI end to end. Amjad and I had a great chat covering: • Why now's the best time to learn to code • A live demo of building a nutrition tracker app • The rise of personal apps and the future of work Some quotes from Amjad: "The return on learning to code doubles every 6 months. AI automates many of the boring parts. What's left is you and your creativity — the most exciting part of coding." "The ultimate test for an AI coding agent is if you can make an app faster than you can Google for it. I think we've done it." "I’ll be honest with you. I think roadmaps are dead. Here's why..." 📌 Watch now:

"If you're in tech, run in one of these directions." In this clip, Amjad Masad (CEO Replit ⠕) shares two paths to future-proof your career in the AI era: 1. Get as close to the metal as possible (e.g., NASA won't use GPT-Javascript to run rockets) OR 2. Become a generalist who can go from idea to end product with AI end to end. Amjad and I had a great chat covering: • Why now's the best time to learn to code • A live demo of building a nutrition tracker app • The rise of personal apps and the future of work Some quotes from Amjad: "The return on learning to code doubles every 6 months. AI automates many of the boring parts. What's left is you and your creativity — the most exciting part of coding." "The ultimate test for an AI coding agent is if you can make an app faster than you can Google for it. I think we've done it." "I’ll be honest with you. I think roadmaps are dead. Here's why..." 📌 Watch now:

Peter Yang

740,717 görüntüleme • 1 yıl önce

Anthropic dropped a free 59-minute Claude Code course From autocomplete to real agents: 00:00 - From autocomplete to agents 04:50 - How the agentic loop works 14:07 - CLAUDE.md as project memory 26:53 - Why Plan Mode comes first 33:31 - Live task from brief to commit 54:46 - Skills vs CLAUDE.md Most people still use Claude Code like a smarter autocomplete This shows how Anthropic uses it to plan, call tools, test, and ship real work Worth more than 99% of paid Claude Code tutorials Bookmark and watch it later

Anthropic dropped a free 59-minute Claude Code course From autocomplete to real agents: 00:00 - From autocomplete to agents 04:50 - How the agentic loop works 14:07 - CLAUDE.md as project memory 26:53 - Why Plan Mode comes first 33:31 - Live task from brief to commit 54:46 - Skills vs CLAUDE.md Most people still use Claude Code like a smarter autocomplete This shows how Anthropic uses it to plan, call tools, test, and ship real work Worth more than 99% of paid Claude Code tutorials Bookmark and watch it later

rari

115,405 görüntüleme • 8 gün önce

Let's build a Deepseek Wrapper (Mobile App) without writing a single line of code! Everyone is talking about building web apps with AI, but no one is talking about building mobile apps. This video tutorial and @senior_swc template (built by ) will help you get starting building an app on iOS. This is react native so it's also compatible with Android and Web (But we will cover this in a future video). The point of this video is to get some experience in the simulator and to start building an app. In a video, soon, we will take the app we've built, test it on our phone, and put it on Test-Flight! (Without writing ANY code!) Just a warning: The DeepSeek API has been tough to rely on. So I decided to add Gemini into my app as a backup, which you can do as well (with any AI model) The code for template is on the next tweet. Timestamps: 00:00 Introduction 01:35 Setting Up Xcode and iPhone Simulator 02:29 Downloading and Configuring Cursor 04:10 Forking the Template and Initial Setup 06:10 Implementing Authentication with Clerk 08:23 Adding DeepSeek API and Testing 13:35 Enhancing the App with SupaData API 19:00 Using the Serp API to fetch video links 23:00 Figuring things out 27:30 Woohoo!!! Perplexitube Shout out to Galaxies-dev on GitHub, who's repo (chatgpt-clone-react-native), we very helpful in building this template quickly.

Let's build a Deepseek Wrapper (Mobile App) without writing a single line of code! Everyone is talking about building web apps with AI, but no one is talking about building mobile apps. This video tutorial and @senior_swc template (built by ) will help you get starting building an app on iOS. This is react native so it's also compatible with Android and Web (But we will cover this in a future video). The point of this video is to get some experience in the simulator and to start building an app. In a video, soon, we will take the app we've built, test it on our phone, and put it on Test-Flight! (Without writing ANY code!) Just a warning: The DeepSeek API has been tough to rely on. So I decided to add Gemini into my app as a backup, which you can do as well (with any AI model) The code for template is on the next tweet. Timestamps: 00:00 Introduction 01:35 Setting Up Xcode and iPhone Simulator 02:29 Downloading and Configuring Cursor 04:10 Forking the Template and Initial Setup 06:10 Implementing Authentication with Clerk 08:23 Adding DeepSeek API and Testing 13:35 Enhancing the App with SupaData API 19:00 Using the Serp API to fetch video links 23:00 Figuring things out 27:30 Woohoo!!! Perplexitube Shout out to Galaxies-dev on GitHub, who's repo (chatgpt-clone-react-native), we very helpful in building this template quickly.

Riley Brown

128,580 görüntüleme • 1 yıl önce

Ukraine has developed a prosthesis that controls drones with the "power of thought". The new MARS prosthesis control system uses special sensors and artificial intelligence to recognize muscle movements. The prosthesis can literally understand the user's intentions. This approach makes prosthesis control more natural, and in the future, opens up new opportunities for controlling technologies such as drones. The user will be able to control the drone by changing the position of the prosthesis in space and tensing different muscles. The principle is similar to a computer mouse: the hand movement controls the direction and angle of the drone, and muscle tension controls functions such as pressing buttons. Esper Bionics is already testing a prototype, and next year, they plan to produce a version for the market. Source: Mykhailo Fedorov/Minister of Digital Transformation of Ukraine/Facebook

Ukraine has developed a prosthesis that controls drones with the "power of thought". The new MARS prosthesis control system uses special sensors and artificial intelligence to recognize muscle movements. The prosthesis can literally understand the user's intentions. This approach makes prosthesis control more natural, and in the future, opens up new opportunities for controlling technologies such as drones. The user will be able to control the drone by changing the position of the prosthesis in space and tensing different muscles. The principle is similar to a computer mouse: the hand movement controls the direction and angle of the drone, and muscle tension controls functions such as pressing buttons. Esper Bionics is already testing a prototype, and next year, they plan to produce a version for the market. Source: Mykhailo Fedorov/Minister of Digital Transformation of Ukraine/Facebook

Anton Gerashchenko

140,233 görüntüleme • 1 yıl önce

we spun up 8 ai agents like a small remote team in 52 mins: one wrote the frontend code one handled backend logic one debugged live errors one managed database setup one handled authentication one worked on ui styling one documented everything in real time one drafted the marketing copy and launch plan all running in parallel all talking to each other through codex cloud. and startup idea from ideabrowser. by the time it was done we had a working wellness app and a full go-to-market plan built by digital coworkers and the startup idea came from ideabrowser (agents scanning fb groups, subreddits and curated by human beings) i was really impressed with codex it hasnt replaced claude code for me, but it's definitely powerful the weekend has started what are you building

we spun up 8 ai agents like a small remote team in 52 mins: one wrote the frontend code one handled backend logic one debugged live errors one managed database setup one handled authentication one worked on ui styling one documented everything in real time one drafted the marketing copy and launch plan all running in parallel all talking to each other through codex cloud. and startup idea from ideabrowser. by the time it was done we had a working wellness app and a full go-to-market plan built by digital coworkers and the startup idea came from ideabrowser (agents scanning fb groups, subreddits and curated by human beings) i was really impressed with codex it hasnt replaced claude code for me, but it's definitely powerful the weekend has started what are you building

GREG ISENBERG

104,924 görüntüleme • 9 ay önce

Giga Texas is building a new structure on the south end of the crash testing facility ... what is it for? It is a new Anthropomorphic Test Devices, or ATD, laboratory and is set to enhance Tesla's already world-class vehicle safety program, especially as the company gears up for the future of autonomous mobility. So, what exactly is an ATD? Anthropomorphic Test Devices, commonly known as crash test dummies, are sophisticated human surrogates equipped with hundreds of sensors like accelerometers and load cells. They simulate human responses—accelerations, forces, and deflections—during crashes, helping evaluate injury risks from frontal, side, or rollover impacts. Key types include the 50th percentile male—the most common—and the 5th percentile female, along with child sizes. But Tesla is pushing boundaries with advanced models like THOR, which stands for Test Device for Human Occupant Restraint. Developed by NHTSA, THOR offers superior biofidelity with over 150 sensors in newer models, capturing detailed data on brain, rib, and organ injuries.

Giga Texas is building a new structure on the south end of the crash testing facility ... what is it for? It is a new Anthropomorphic Test Devices, or ATD, laboratory and is set to enhance Tesla's already world-class vehicle safety program, especially as the company gears up for the future of autonomous mobility. So, what exactly is an ATD? Anthropomorphic Test Devices, commonly known as crash test dummies, are sophisticated human surrogates equipped with hundreds of sensors like accelerometers and load cells. They simulate human responses—accelerations, forces, and deflections—during crashes, helping evaluate injury risks from frontal, side, or rollover impacts. Key types include the 50th percentile male—the most common—and the 5th percentile female, along with child sizes. But Tesla is pushing boundaries with advanced models like THOR, which stands for Test Device for Human Occupant Restraint. Developed by NHTSA, THOR offers superior biofidelity with over 150 sensors in newer models, capturing detailed data on brain, rib, and organ injuries.

Joe Tegtmeyer 🚀 🤠🛸😎

19,326 görüntüleme • 5 ay önce

As announced on Pi Day 2026, the initial version of the Token Launchpad has been released as a Pi App on the Testnet with a test token! Watch the video walkthrough to learn the implemented design in action, and read the blog—originally published in the Pi Day announcement—to understand its deeper meaning. Pi believes financial literacy is necessary for people to live in an AI-pervasive economy, so Pioneers should start learning today by testing the Testnet Launchpad app through the Pi Browser.

As announced on Pi Day 2026, the initial version of the Token Launchpad has been released as a Pi App on the Testnet with a test token! Watch the video walkthrough to learn the implemented design in action, and read the blog—originally published in the Pi Day announcement—to understand its deeper meaning. Pi believes financial literacy is necessary for people to live in an AI-pervasive economy, so Pioneers should start learning today by testing the Testnet Launchpad app through the Pi Browser.

Pi Network

306,562 görüntüleme • 4 ay önce

How do you actually formally verify the code underpinning Ethereum's future? In this episode (the finale of the lean Ethereum miniseries), Nico sits down with Alex Hicks (Alexander Hicks), lead of Protocol Snarkification at the Ethereum Foundation, to break down formal verification from first principles. They cover: – What formal verification actually is and the trust boundaries between proof assistants, SMT solvers, and kernels – The full verification stack for RISC-V ZKVMs: from SAIL specs to constraint extraction to soundness proofs – Why writing constraints directly in Lean makes proofs 10–100x more ergonomic – How AI is now proving hard theorems in hours for $200 — and what that unlocks for the whole pipeline They also explore the boundaries problem, why specs can have bugs too, and the end goal of a full Lean stack that bypasses Rust and LLVM entirely. Listen to the full episode ------------------------------------------------------------ TIMECODES: 09:16 – What is formal verification? Proof assistants vs SMT solvers 18:33 – Formal verification of code: specs, semantics, and trust boundaries 29:30 – Formally verifying the Lean Ethereum stack: RISC-V ZKVMs in focus 33:02 – Extracting ZKVM constraints into Lean and proving soundness 36:35 – Writing constraints directly in Lean: 10–100x better proof ergonomics 44:02 – Proving Polishchuk–Spielman in 8 hours for $200 with AI 51:01 – The end goal: a full Lean stack bypassing Rust and LLVM

How do you actually formally verify the code underpinning Ethereum's future? In this episode (the finale of the lean Ethereum miniseries), Nico sits down with Alex Hicks (Alexander Hicks), lead of Protocol Snarkification at the Ethereum Foundation, to break down formal verification from first principles. They cover: – What formal verification actually is and the trust boundaries between proof assistants, SMT solvers, and kernels – The full verification stack for RISC-V ZKVMs: from SAIL specs to constraint extraction to soundness proofs – Why writing constraints directly in Lean makes proofs 10–100x more ergonomic – How AI is now proving hard theorems in hours for $200 — and what that unlocks for the whole pipeline They also explore the boundaries problem, why specs can have bugs too, and the end goal of a full Lean stack that bypasses Rust and LLVM entirely. Listen to the full episode ------------------------------------------------------------ TIMECODES: 09:16 – What is formal verification? Proof assistants vs SMT solvers 18:33 – Formal verification of code: specs, semantics, and trust boundaries 29:30 – Formally verifying the Lean Ethereum stack: RISC-V ZKVMs in focus 33:02 – Extracting ZKVM constraints into Lean and proving soundness 36:35 – Writing constraints directly in Lean: 10–100x better proof ergonomics 44:02 – Proving Polishchuk–Spielman in 8 hours for $200 with AI 51:01 – The end goal: a full Lean stack bypassing Rust and LLVM

Zero Knowledge Podcast

15,143 görüntüleme • 4 ay önce

New course to bring you up to state-of-the-art at using AI to help you code: Build Apps with Windsurf's AI Coding Agents, built in partnership with WIndsurf (Codeium) and taught by Anshul Ramachandran! AI-assisted IDEs (Integrated Development Environments) make developers’ workflows faster, more efficient, and much more fun. Agentic tools like Windsurf are more than just code autocomplete—they are collaborative coding agents that help you break down complex applications, iterate efficiently, and generate code that spans multiple files. Although a lot of coding assistants share the same underlying large language models for planning and reasoning, a major point of distinction is how they handle tools, keep track of context, and stay aligned with your intent as a developer. For instance, if you make modifications to a class definition in your code and make the same modifications to other classes in the same directory, you might tell the AI agent "Do the same thing in similar places in this directory." Here, tracking your intent means understanding that “the same thing" refers to that recent edit you just made, which must be followed by appropriate search and tool-calling to implement the changes. In this course, you'll learn the inner workings of coding agents, their strengths and limitations, and how to use Windsurf to quickly build several applications. In detail, you'll: - Build a mental model of how agents work by combining human-action tracking, tool integration, and context awareness to carry out an agentic coding workflow. - Learn the challenges of code search and discovery and how a multi-step retrieval approach helps coding agents address them. - Use Windsurf to analyze and understand a large, old codebase and update it to the latest versions of the frameworks and packages it uses. - Build a Wikipedia data analysis app that retrieves, parses, and analyzes word frequencies. - Enhance the performance of your Wikipedia analysis app by adding caching, and through this, also learn how to course-correct when the AI agent produces unexpected results. - Learn tips and tricks such as keyboard shortcuts, autocomplete, and @ mentions to quickly call on agentic capabilities. - Use image/multimodal capabilities of the AI agent to increase your development velocity; you'll see an example of uploading a mockup with sketched-out UI features, and ask the agent to use that to build new functionality to an app. By the end of this course, you’ll understand agentic coding in-depth and know how to use it to make your development process much faster, more efficient, and enjoyable. Please sign up here!

New course to bring you up to state-of-the-art at using AI to help you code: Build Apps with Windsurf's AI Coding Agents, built in partnership with WIndsurf (Codeium) and taught by Anshul Ramachandran! AI-assisted IDEs (Integrated Development Environments) make developers’ workflows faster, more efficient, and much more fun. Agentic tools like Windsurf are more than just code autocomplete—they are collaborative coding agents that help you break down complex applications, iterate efficiently, and generate code that spans multiple files. Although a lot of coding assistants share the same underlying large language models for planning and reasoning, a major point of distinction is how they handle tools, keep track of context, and stay aligned with your intent as a developer. For instance, if you make modifications to a class definition in your code and make the same modifications to other classes in the same directory, you might tell the AI agent "Do the same thing in similar places in this directory." Here, tracking your intent means understanding that “the same thing" refers to that recent edit you just made, which must be followed by appropriate search and tool-calling to implement the changes. In this course, you'll learn the inner workings of coding agents, their strengths and limitations, and how to use Windsurf to quickly build several applications. In detail, you'll: - Build a mental model of how agents work by combining human-action tracking, tool integration, and context awareness to carry out an agentic coding workflow. - Learn the challenges of code search and discovery and how a multi-step retrieval approach helps coding agents address them. - Use Windsurf to analyze and understand a large, old codebase and update it to the latest versions of the frameworks and packages it uses. - Build a Wikipedia data analysis app that retrieves, parses, and analyzes word frequencies. - Enhance the performance of your Wikipedia analysis app by adding caching, and through this, also learn how to course-correct when the AI agent produces unexpected results. - Learn tips and tricks such as keyboard shortcuts, autocomplete, and @ mentions to quickly call on agentic capabilities. - Use image/multimodal capabilities of the AI agent to increase your development velocity; you'll see an example of uploading a mockup with sketched-out UI features, and ask the agent to use that to build new functionality to an app. By the end of this course, you’ll understand agentic coding in-depth and know how to use it to make your development process much faster, more efficient, and enjoyable. Please sign up here!

Andrew Ng

139,834 görüntüleme • 1 yıl önce

Worldcoin is a game-changer in crypto and Ai world!!! Let me get straight and tell you more about the World and their $WLD ecosystem They’re not just another project—they’re paving the way for mass adoption with some insane innovations Here's how 👇 World App: This isn’t your typical wallet. It’s crypto’s first super app! A non-custodial Ethereum wallet with Mini Apps, where you can manage assets, verify with World ID, and access third-party services—all from one place, securely. World ID: In an AI-dominated world, privacy matters. World ID is already the largest identity protocol, with millions of verified users across 160+ countries. Their biometric verification keeps your data private and protected. Worldchain: Just launched and already massive. Designed to scale with a global user base, it’s the largest layer-2 chain on day one, enabling secure, human-prioritized transactions and on-chain identity verification. Orb 2.0: Powered by NVIDIA, this next-gen biometric scanner is 5x faster and better at fraud detection. Real-time, privacy-preserving verification at its best! $WLD is redefining what’s possible in Web3 by solving real problems like deepfakes and digital fraud. Sam Altman and the team are pushing boundaries and making this space future-proof

Worldcoin is a game-changer in crypto and Ai world!!! Let me get straight and tell you more about the World and their $WLD ecosystem They’re not just another project—they’re paving the way for mass adoption with some insane innovations Here's how 👇 World App: This isn’t your typical wallet. It’s crypto’s first super app! A non-custodial Ethereum wallet with Mini Apps, where you can manage assets, verify with World ID, and access third-party services—all from one place, securely. World ID: In an AI-dominated world, privacy matters. World ID is already the largest identity protocol, with millions of verified users across 160+ countries. Their biometric verification keeps your data private and protected. Worldchain: Just launched and already massive. Designed to scale with a global user base, it’s the largest layer-2 chain on day one, enabling secure, human-prioritized transactions and on-chain identity verification. Orb 2.0: Powered by NVIDIA, this next-gen biometric scanner is 5x faster and better at fraud detection. Real-time, privacy-preserving verification at its best! $WLD is redefining what’s possible in Web3 by solving real problems like deepfakes and digital fraud. Sam Altman and the team are pushing boundaries and making this space future-proof

Lau

116,744 görüntüleme • 1 yıl önce

SPECTRE AI SEARCH ENGINE - A FOUNDER VOICE OVER AS THE APP EDGES CLOSER TO RELEASE: In this video we walk you through the recent changes we’ve made and give you a glimpse of what’s coming next. We are now in Phase 2 of our Closed Beta testing for the Spectre AI Search Engine app. With #AI once again making its impact in the space, we’re focusing on $TAO #bittensor (Openτensor Foundaτion) in the Research Zone today. In this showcase, we’ll go over all the new widgets, adjustments to top coins and categories, Dynamic Watchlists, UI Favorites, UI News, The Monarch, the Research Zone, and much more. Our goal is to make Spectre AI a product you’ll want to use daily—whether it's for tracking market trends, discovering new projects, or leveraging advanced research tools. We’re pushing hard to deliver this vision, and we’re getting very close! $SPECT

SPECTRE AI SEARCH ENGINE - A FOUNDER VOICE OVER AS THE APP EDGES CLOSER TO RELEASE: In this video we walk you through the recent changes we’ve made and give you a glimpse of what’s coming next. We are now in Phase 2 of our Closed Beta testing for the Spectre AI Search Engine app. With #AI once again making its impact in the space, we’re focusing on $TAO #bittensor (Openτensor Foundaτion) in the Research Zone today. In this showcase, we’ll go over all the new widgets, adjustments to top coins and categories, Dynamic Watchlists, UI Favorites, UI News, The Monarch, the Research Zone, and much more. Our goal is to make Spectre AI a product you’ll want to use daily—whether it's for tracking market trends, discovering new projects, or leveraging advanced research tools. We’re pushing hard to deliver this vision, and we’re getting very close! $SPECT

SPECTRE AI

41,243 görüntüleme • 1 yıl önce

Superset 2.0 is in open beta and it's a big rewrite. Why and what's different about this? I walked through a tour of the changes here: 0:00 - Introductions 1:53 - Why we rewrote Superset 4:00 - New file system 5:00 Automations 5:44 CLI 7:48 Thank you to early users! tldr: Superset 2.0 is in Open Beta! It's a full rewrite of the Superset app to enable Cloud and remote workspaces to work like realtime. This is the next step on the journey to enable developers to run 100s and even 1000s of coding agents in parallel. Work on remote workspaces in real-time as if it was on your local machine. Also, new simplified UI, and a a sick CLI to let agents drive your Superset app. Mobile working internally, and more coming soon!

Superset 2.0 is in open beta and it's a big rewrite. Why and what's different about this? I walked through a tour of the changes here: 0:00 - Introductions 1:53 - Why we rewrote Superset 4:00 - New file system 5:00 Automations 5:44 CLI 7:48 Thank you to early users! tldr: Superset 2.0 is in Open Beta! It's a full rewrite of the Superset app to enable Cloud and remote workspaces to work like realtime. This is the next step on the journey to enable developers to run 100s and even 1000s of coding agents in parallel. Work on remote workspaces in real-time as if it was on your local machine. Also, new simplified UI, and a a sick CLI to let agents drive your Superset app. Mobile working internally, and more coming soon!

Kiet

19,088 görüntüleme • 2 ay önce

Claude Code on desktop just added an embedded loop that can run your dev server, view the app, review local changes, and watch pull requests until they merge. It can now preview a running app inside the desktop UI while it iterates on fixes. It can also monitor CI for an open PR and either fix failures or merge when checks go green. Earlier “agentic coding” workflows usually bounced between a terminal, a browser, and GitHub, so the model could not directly see what the app rendered or stay attached to CI results without manual babysitting. The new server preview flow starts and stops dev servers from a Preview control, shows the app in an embedded browser, reads logs, and can interact with the page to verify changes. That closes a common gap where a model edits code but cannot reliably confirm the UI and runtime behavior match the intent. The local “Review code” step runs before pushing, and it leaves inline comments on the diff so basic bugs and risky changes get caught earlier. For PR monitoring, the desktop app will track status and CI checks, and it can use auto-fix to attempt repairs and auto-merge to land the PR once checks pass, using GitHub tooling under the hood. Session mobility adds a /desktop command to move a CLI session into the desktop app, and sessions can be pushed to the cloud to resume from web or phone.

Claude Code on desktop just added an embedded loop that can run your dev server, view the app, review local changes, and watch pull requests until they merge. It can now preview a running app inside the desktop UI while it iterates on fixes. It can also monitor CI for an open PR and either fix failures or merge when checks go green. Earlier “agentic coding” workflows usually bounced between a terminal, a browser, and GitHub, so the model could not directly see what the app rendered or stay attached to CI results without manual babysitting. The new server preview flow starts and stops dev servers from a Preview control, shows the app in an embedded browser, reads logs, and can interact with the page to verify changes. That closes a common gap where a model edits code but cannot reliably confirm the UI and runtime behavior match the intent. The local “Review code” step runs before pushing, and it leaves inline comments on the diff so basic bugs and risky changes get caught earlier. For PR monitoring, the desktop app will track status and CI checks, and it can use auto-fix to attempt repairs and auto-merge to land the PR once checks pass, using GitHub tooling under the hood. Session mobility adds a /desktop command to move a CLI session into the desktop app, and sessions can be pushed to the cloud to resume from web or phone.

Rohan Paul

33,431 görüntüleme • 5 ay önce