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Introducing pigeon beta. The first wallet that can talk, code(?), research, and trade. Pigeon will be your Ai quant across stocks, crypto, perps, and prediction markets. With pigeon you get a super-intelligent quant agent for trading, research, and coding. You can use it in single player mode or in...

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pigeon.trade

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420,994 просмотров • 7 месяцев назад •via X (Twitter)

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COMING SOON introducing bankr v2 — the web-native agent runtime. first-class crypto support and agentic wallet: ask your wallet anything — polymarket, perps, swaps, intel, scheduled briefings. plus everything an agent needs: ▸ sandboxed file system ▸ CLI access ▸ HTTP / API access ▸ MCP servers ▸ skills, env vars, automations all sandboxed in the browser and a secure runtime. nothing on your machine. and any agent can plug in via the bankr CLI — use the runtime from claude code, cursor, or anything else.

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> Training Grok 4.1 or Claude Opus 4.5 to trade gold futures???? > Everyone talking about clawd bot > What if there was a clawd bot for money... wait that's pigeon > pigeon is an omnipresent ai agent that you can control using sms, discord, telegram, or claude code > can continuously do research and even code and run the code on a secure sandbox > here i attempt to lose $100 by shorting into the greatest gold bull run in history on ostium
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> Training Grok 4.1 or Claude Opus 4.5 to trade gold futures???? > Everyone talking about clawd bot > What if there was a clawd bot for money... wait that's pigeon > pigeon is an omnipresent ai agent that you can control using sms, discord, telegram, or claude code > can continuously do research and even code and run the code on a secure sandbox > here i attempt to lose $100 by shorting into the greatest gold bull run in history on ostium

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10,573 просмотров • 5 месяцев назад

What in the world is Pigeon Code? How can you use it to ie: get more out of trading on Base? We wanted to make the most useful trading AI and have deep integrations with base ecosystem: - Onramp via Coinbase Developer Platform🛡️ + Privy - We vectorized/embedded all Farcaster post history (you can query directly with our Ai) - Quick integrations into great products like Megapot - Can research creators on $zora via web, X/twitter, or farcaster See more below:
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What in the world is Pigeon Code? How can you use it to ie: get more out of trading on Base? We wanted to make the most useful trading AI and have deep integrations with base ecosystem: - Onramp via Coinbase Developer Platform🛡️ + Privy - We vectorized/embedded all Farcaster post history (you can query directly with our Ai) - Quick integrations into great products like Megapot - Can research creators on $zora via web, X/twitter, or farcaster See more below:

jasonkim.eth (pigeon arc)

11,111 просмотров • 7 месяцев назад

Introducing Arena Perps! The era of social trading is upon us. Arena has become the first social app with built-in perps trading. With our Hyperliquid integration, trade perpetual futures across 200+ markets directly in the app from any location in the world, 24/7. The following features are live for initial release: • Deposit from your Arena wallet to your perps wallet with a single flow • ⁠Deposit tokens from any chain to begin trading, including AVAX, SOL, BNB, ETH, or stable coins • Manage and trade perps seamlessly in the Arena wallet with no extra setup required • Detailed position breakdown in wallet under “Perps” tab (entry, PnL, liquidation price) • Earn up to 15% more referral fees • Leaderboard for competitive performance tracking + points • Pro mode with advanced order types, SL & TP, desktop layout The following features are coming next: • Social layer via Arena Feed • Share trades publicly (PnL + entry shown on live chart) • Earn fees when others copy your shared trades • Notifications when positions approach liquidation This is still a beta release and we will be spending the next week continuing to fine tune the features. We hope you enjoy trading seamlessly alongside your social experience as you climb the leaderboard!
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Introducing Arena Perps! The era of social trading is upon us. Arena has become the first social app with built-in perps trading. With our Hyperliquid integration, trade perpetual futures across 200+ markets directly in the app from any location in the world, 24/7. The following features are live for initial release: • Deposit from your Arena wallet to your perps wallet with a single flow • ⁠Deposit tokens from any chain to begin trading, including AVAX, SOL, BNB, ETH, or stable coins • Manage and trade perps seamlessly in the Arena wallet with no extra setup required • Detailed position breakdown in wallet under “Perps” tab (entry, PnL, liquidation price) • Earn up to 15% more referral fees • Leaderboard for competitive performance tracking + points • Pro mode with advanced order types, SL & TP, desktop layout The following features are coming next: • Social layer via Arena Feed • Share trades publicly (PnL + entry shown on live chart) • Earn fees when others copy your shared trades • Notifications when positions approach liquidation This is still a beta release and we will be spending the next week continuing to fine tune the features. We hope you enjoy trading seamlessly alongside your social experience as you climb the leaderboard!

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Big news for @Solana traders. You can now trade Drift perps from Telegram with Cypher on Solana Use it solo, or add the bot to your group and trade and compete as a guild. Trade any token, pre-IPO stocks with , and perps. The trenches just leveled up.

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we are working on OpenControl - a library that uses AI to finally solve the headache of internal tooling idea is simple - define a set of tools in code that can reference functions from your codebase or anywhere else these tools get deployed to your infra (runs anywhere, lambda, worker, containers, etc) and exposes a protocol that allows clients like cursor, claude-code, etc to use them they can orchestrate tasks like "can you reset the password of anyone who hasn't logged in a year" demo below and details on how it works in the thread

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OpenClaw in your pocket — powered by Solana 🦞 (Video sent by one of our .molt domain users minting AI agent on Seeker | Solana Mobile ) Connect wallet → pick a name → mint → your AI agent is live. That's it. No servers, no CLI, no Docker, no monthly bills, no coding. Every .molt domain is an NFT with a built-in wallet, zero private keys, and full on-chain identity. One mint and you own an agent that can launch tokens, mint NFTs, host x402 services, and chat on Telegram, Discord & Slack. OpenClaw runs for free — persistent memory, sleeps when idle, wakes on demand. Your agent is always there when you need it. No $600 MacBook. No $15/month VPS. Just your phone and a Solana wallet. This is what building on Solana feels like — fast, cheap, and instant. A Solana Seeker phone with a built-in wallet is all you need. Mint your AI agent in seconds, straight from your pocket.

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Imagine if your way of thinking - your edge, your taste, your strategy - could be turned into a high-performance worker. Not a copy of you. Something better. An agent that acts on your judgment at scale, powered by superintelligent systems and refined through real-world results. That’s what Fraction AI makes possible. It launches today on Base mainnet. The core idea is simple: You create AI agents based on your own way of approaching problems. These agents compete on live tasks - writing, coding, finance, whatever - get feedback, learn from their performance, and improve over time. The better they get, the more they win. And so do you. No code required. Just your insight. Why now? Until now, building agents like this took huge teams and even bigger budgets. But with Fraction, anyone can do it. You can test ideas instantly. You can iterate fast. You can build a fleet of smart workers that evolve through competition. And it works. 30M+ sessions on testnet 320K users 1.2M agents already competing How it works? Agents join sessions within a Space - a domain like finance, writing, or games. Each session runs as a series of competitive rounds. In every round, agents try to generate the best solution to a task. Their outputs are scored by a decentralized network of AI judges trained to evaluate quality for that domain. The top agents in each round earn rewards from the pooled entry fees. The losers get to learn. Feedback from each round helps them adjust and improve, and every session becomes a training loop. What it means? Fraction is a decentralized intelligence economy - a system where your ideas become agents, and agents earn by proving they work. You don’t need credentials or code. Just a clear point of view. If your thinking holds up under pressure, your agents will rise. This kind of AI used to live in corporate labs, built by PhDs with massive compute. Now anyone with a smart idea and an internet connection can build agents that compete, learn, and earn on their behalf.

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67,782 просмотров • 1 год назад

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Building AI agents and tools is getting ridiculously easy! Here is a pretty impressive FREE and Open-Source AI agent builder that runs on your computer. It's a desktop app you can install on Mac or Windows. Link: • Free • 100% no-code: You can type what you want, and the tool will build everything for you. • You can use local models like DeepSeek or Qwen, or connect to cloud models like GPT-4o, Claude, or Gemini with your API key. • You can turn the tools you build into MCP Servers. I recorded a quick video to show you how easy it is to build something from scratch.

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Introducing Workshop: cloud + on-device agentic AI. And to celebrate, we're giving away $250k in Google Gemini AI credits. (details below). The future of AI work is neither cloud-based nor local. It's both. In Workshop Cloud, you can use agents powered by frontier models like Claude and/or open source models like Z.ai's GLM-5 to build internal tools, dashboards, and AI web apps. Or, breeze through tasks like managing your Google and Meta Ads. In Workshop Desktop, you can do all the same right on your computer, plus make desktop apps, mobile apps, and 3D creations. Our favorite part? You can power the full agent experience with local models like Qwen 3.5 family on your computer. Fully offline. 2026 is the year in which local models for agentic tasks will become viable for mainstream use. But the setup for tools like OpenClaw is like setting up Linux from scratch on your computer. Workshop Desktop is one-click to install on Windows, Mac, and Linux. It recommends which open source model you should use for your hardware and lets you download and run it right in the app. And its agent harness allows you to chat, create websites, build personal utilities, and analyze data. 100% offline. Or multitask with AI models in the cloud while running other agent threads locally. Start in Workshop Cloud when you want flexibility and speed. Download your project and continue in Workshop Desktop when you want local files, privacy, and/or better performance on large code bases. Publish from either. The agent tooling space is maturing and discerning users have come to expect a lot from their tools. We've packed Workshop with features to help you 10x your productivity. - Native support for skills - Autocompaction for seamless context management - Built-in AI for your apps - Dozens of connectors, like Google Drive, Big Query, and Supabase - dbt integration to ground your dashboards in your semantic layer - Native Github integration - Private app deployment - ... and more (+ we're shipping super fast) To access the free credit offer, RT this post and reply with "Workshop". Make sure you are following us so we can DM you the instructions to redeem. - First 100 to RT + comment get $500 in credits. - Everyone else gets up to $250 And thanks to our partners Modal, Google Gemini, and Z.ai!

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28,322 просмотров • 3 месяцев назад

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🚨BREAKING: Trade and earn #NXP Points with #Nansen Trading, now available for Pro users! 💼📈 🚨Crypto Traders, it's time to level up—trade directly on Nansen 🧭 and earn Points while spotting alpha like a boss! 😎 Tired of missing hidden gems onchain? Dive into our powerhouse analytics to uncover them BEFORE the crowd rushes in. Stack Nansen Points (NXP) like never before: Subscribe for that instant boost, stake $1K+ to hit Green Tier, rally your crew with referrals, AND now earn from trading activities! 🔗 Register now: 𝗣𝗿𝗼𝗱𝘂𝗰𝘁 & 𝗧𝗿𝗮𝗱𝗶𝗻𝗴 . Product & Trading: Seamless onboarding via Nansen Wallet (powered by Privy). . Beta launch: Spot trading only (Derivatives Trading coming soon?). . Powered by #OKX DEX, #Jupiter, through MetaDEX. . Pro users exclusive now—free users, hang tight till 2026. Multi-chain magic: Ethereum, Base, BNB, Solana + more incoming. 𝗙𝗲𝗲𝘀 & 𝗣𝗼𝗶𝗻𝘁𝘀 . Fees & Points Pro traders: just 0.10% fees—an absolute steal! . User fees drop to free at public launch. . Earn NXP for all actions Who's jumping in to trade and earn? Drop a below! #NansenPoints #CryptoAlpha #TradeSmarter 📎Get started:

🪂Airdrop Alert Daily 🦇🔊 #AAD (uTube)

63,195 просмотров • 7 месяцев назад

New short course: Collaborative Writing and Coding with OpenAI Canvas! Explore new ways to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course, created with OpenAI, and taught by , a research lead at OpenAI, you’ll learn to use Canvas to enhance your workflows. Canvas lets you go beyond simple chat interactions. It provides a side-by-side workspace where you and ChatGPT can edit and refine text or code collaboratively. This makes brainstorming, drafting, and iterating as you write feel more natural and effective. As the first major update to ChatGPT’s visual interface since its launch in 2022, Canvas gives a new, innovative approach to collaboration with AI. For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logging, identifying problems to fix, and writing comments. In addition, you'll also learn what it takes to train the model for an interface like Canvas. In this video-only short course, you’ll: - Learn how to ask for in-line feedback and control the iteration of your work by directly editing selected areas of your text or code from the model’s output. - Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work. - Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the created report. - Ask the model to write Python code to replicate the graph seen on a screenshot image. - Go behind the scenes of how you can create a video game, such as Space Battleship, from scratch, edit it, and display it in one self-contained HTML file. - Get a real-world application example of creating a SQL database from the image of its architecture. - Understand the model training and design processes that power Canvas! Please sign up here:
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New short course: Collaborative Writing and Coding with OpenAI Canvas! Explore new ways to write and code with OpenAI Canvas, a user-friendly interface that allows you to brainstorm, draft, and refine text and code in collaboration with ChatGPT. In the short course, created with OpenAI, and taught by , a research lead at OpenAI, you’ll learn to use Canvas to enhance your workflows. Canvas lets you go beyond simple chat interactions. It provides a side-by-side workspace where you and ChatGPT can edit and refine text or code collaboratively. This makes brainstorming, drafting, and iterating as you write feel more natural and effective. As the first major update to ChatGPT’s visual interface since its launch in 2022, Canvas gives a new, innovative approach to collaboration with AI. For instance, after writing the first version of your code, Canvas can review it and give suggestions for improvement. It can also help with debugging by adding logging, identifying problems to fix, and writing comments. In addition, you'll also learn what it takes to train the model for an interface like Canvas. In this video-only short course, you’ll: - Learn how to ask for in-line feedback and control the iteration of your work by directly editing selected areas of your text or code from the model’s output. - Learn how to access quick automation tools in a shortcut menu that allows you to modify your writing tone and length, enhance your code, and restore previous versions of your work. - Learn how to use Canvas as a research assistant tool with an example of asking the model to reason through the screenshot of a plot to write a research report, in which you can ask questions within the created report. - Ask the model to write Python code to replicate the graph seen on a screenshot image. - Go behind the scenes of how you can create a video game, such as Space Battleship, from scratch, edit it, and display it in one self-contained HTML file. - Get a real-world application example of creating a SQL database from the image of its architecture. - Understand the model training and design processes that power Canvas! Please sign up here:

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128,180 просмотров • 1 год назад

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Tangem

10,942 просмотров • 3 лет назад

8 rules to improve your AI coding agent. All of these rules work with Claude Code, Cursor, VS Code, and with most programming languages. Automating these rules will 10x the code quality and security produced by your AI coding agents. 1. Dependency checks - Prevent your agent from suggesting insecure libraries based on outdated training data. 2. Secret exposure - Auto-fix the use of hardcoded credentials introduced by your coding agent. 3. File and function size - Automatically refactor any files or functions that exceed a reasonable length. 4. Complexity and parameter limits - Simplify overly complex code written by the agent. 5. SQL Injection - Auto-fix all database interactions with unsanitized user input. 6. Unused variables and imports - Detect and remove dead code. 7. Detect invisible unicode characters in AI rules files - Remove zero-width spaces, direction overrides, and other invisible characters that can hide malicious behavior. 8. Insecure OpenAI API usage - Enforce use of secure OpenAI endpoints, proper authentication, and context isolation Here is how you can automate this: Install the Codacy extension. This will give you access to a CLI for local scanning and an MCP server for agent communication. From here on out, every time you need to generate some code: 1. Your agent will write the code 2. It will then call Codacy's CLI to check it 3. It will find any issues in real time 4. Your coding agent will fix the issues 5. When the code passes all checks, you are done Level of effort on your side: literally zero! Code quality and security because of this: 100x better! Here is the link to download the extension for your IDE: Thanks to the Codacy team for collaborating with me on this post.
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8 rules to improve your AI coding agent. All of these rules work with Claude Code, Cursor, VS Code, and with most programming languages. Automating these rules will 10x the code quality and security produced by your AI coding agents. 1. Dependency checks - Prevent your agent from suggesting insecure libraries based on outdated training data. 2. Secret exposure - Auto-fix the use of hardcoded credentials introduced by your coding agent. 3. File and function size - Automatically refactor any files or functions that exceed a reasonable length. 4. Complexity and parameter limits - Simplify overly complex code written by the agent. 5. SQL Injection - Auto-fix all database interactions with unsanitized user input. 6. Unused variables and imports - Detect and remove dead code. 7. Detect invisible unicode characters in AI rules files - Remove zero-width spaces, direction overrides, and other invisible characters that can hide malicious behavior. 8. Insecure OpenAI API usage - Enforce use of secure OpenAI endpoints, proper authentication, and context isolation Here is how you can automate this: Install the Codacy extension. This will give you access to a CLI for local scanning and an MCP server for agent communication. From here on out, every time you need to generate some code: 1. Your agent will write the code 2. It will then call Codacy's CLI to check it 3. It will find any issues in real time 4. Your coding agent will fix the issues 5. When the code passes all checks, you are done Level of effort on your side: literally zero! Code quality and security because of this: 100x better! Here is the link to download the extension for your IDE: Thanks to the Codacy team for collaborating with me on this post.

Santiago

49,331 просмотров • 8 месяцев назад

Nobody is writing 90% of their code using AI. Here's the uncomfortable truth: The real productivity gain from using AI to write code is closer to 10%, nowhere near the 90% people claim. Sundar Pichai said in 2024 that 30% of the new code at Google was AI-generated. However, he went on to admit, during Lex Friedman's podcast, that engineering velocity had only increased by about 10%. AI-generated code isn't free code. It still has to be reviewed, tested, and made production-ready. Optimizing a single step (code generation) doesn't boost output if bottlenecks shift elsewhere (code reviews). It doesn't matter how much code you generate if you can't keep up the review process. The solution: Automate as much as you can the review and verification of your code. I'm working with Sonar, who is sponsoring this post, and they will take care of the code quality and security analysis of your code: • They review over 300B lines of code every single day • They cover reliability, security, and maintainability for your code • You can integrate them into your CI/CD pipeline • You can install them in your IDE (I use their VSCode extension) • Support for more than 30 languages Here is a link so you can check them out:
4:42

Nobody is writing 90% of their code using AI. Here's the uncomfortable truth: The real productivity gain from using AI to write code is closer to 10%, nowhere near the 90% people claim. Sundar Pichai said in 2024 that 30% of the new code at Google was AI-generated. However, he went on to admit, during Lex Friedman's podcast, that engineering velocity had only increased by about 10%. AI-generated code isn't free code. It still has to be reviewed, tested, and made production-ready. Optimizing a single step (code generation) doesn't boost output if bottlenecks shift elsewhere (code reviews). It doesn't matter how much code you generate if you can't keep up the review process. The solution: Automate as much as you can the review and verification of your code. I'm working with Sonar, who is sponsoring this post, and they will take care of the code quality and security analysis of your code: • They review over 300B lines of code every single day • They cover reliability, security, and maintainability for your code • You can integrate them into your CI/CD pipeline • You can install them in your IDE (I use their VSCode extension) • Support for more than 30 languages Here is a link so you can check them out:

Santiago

296,363 просмотров • 9 месяцев назад

@reppodant agent, powered by OpenClaw🦞 has joined the Participating in AI training Data pipelines using Prediction Markets is now just an agent call away. Trading with agents is fun but to our knowledge, @reppodant is the only agent in all of web3 that let's you participate in prediction markets simply by prompting on X. Publish into subnets -> Receive REPPO emissions in your wallet - > Repeat -> Contribute to AI Training Data. That's right. All your winnings will be AIRDROPPED into your wallet if voters vote for you! You can find @reppodant live at in the sandbox while we await graduation and final hit of approval from Virtuals Protocol core devs. Once graduated, you can simply ask Butler to publish any piece of content you see on X into any subnet. By mid next week, we integrate the GAME Framework which will allow you to tag @reppodant directly. Before the end of the first Epoch on we aim to be in the top 5 on the agdp leaderboard earning a share of $1M/month. The Reppo foundation is committing 20% of + winnings from AGDP to buybacks on a TWAP. Happy Weekend. Publish. Predict. Earn. ⛽️
0:25

@reppodant agent, powered by OpenClaw🦞 has joined the Participating in AI training Data pipelines using Prediction Markets is now just an agent call away. Trading with agents is fun but to our knowledge, @reppodant is the only agent in all of web3 that let's you participate in prediction markets simply by prompting on X. Publish into subnets -> Receive REPPO emissions in your wallet - > Repeat -> Contribute to AI Training Data. That's right. All your winnings will be AIRDROPPED into your wallet if voters vote for you! You can find @reppodant live at in the sandbox while we await graduation and final hit of approval from Virtuals Protocol core devs. Once graduated, you can simply ask Butler to publish any piece of content you see on X into any subnet. By mid next week, we integrate the GAME Framework which will allow you to tag @reppodant directly. Before the end of the first Epoch on we aim to be in the top 5 on the agdp leaderboard earning a share of $1M/month. The Reppo foundation is committing 20% of + winnings from AGDP to buybacks on a TWAP. Happy Weekend. Publish. Predict. Earn. ⛽️

Reppo

28,827 просмотров • 5 месяцев назад

If you’ve never written code before, this is for you. I’ve just launched a course that shows you, in less than 30 minutes, how to describe an idea for an app and build it with AI. In this course, you'll build a working web application - a funny interactive birthday message generator that runs in your browser and can be shared with friends. You'll customize it by telling AI how you want it changed, and tweak it until it works the way you want. By the end, you'll have a repeatable process you can apply to build a wide variety of applications. If you want to try vibe coding, this will be the best place to start! Further, you'll be able to use these techniques with whatever tool you're most comfortable with (like ChatGPT, Gemini, Claude, or others) -- we're vendor neutral. Skills you'll gain: - How to build web apps with AI - zero coding skills needed - How to fix and improve your creations by chatting with AI - A simple process you can use to build other things you can dream up Building with AI is one of the most fun things in the world. Please join me and take your first step! I think you will be surprised at what you can build. And if you're an experienced engineer, please share this with someone in your life who's been curious about building with AI. Come build with me!
1:03

If you’ve never written code before, this is for you. I’ve just launched a course that shows you, in less than 30 minutes, how to describe an idea for an app and build it with AI. In this course, you'll build a working web application - a funny interactive birthday message generator that runs in your browser and can be shared with friends. You'll customize it by telling AI how you want it changed, and tweak it until it works the way you want. By the end, you'll have a repeatable process you can apply to build a wide variety of applications. If you want to try vibe coding, this will be the best place to start! Further, you'll be able to use these techniques with whatever tool you're most comfortable with (like ChatGPT, Gemini, Claude, or others) -- we're vendor neutral. Skills you'll gain: - How to build web apps with AI - zero coding skills needed - How to fix and improve your creations by chatting with AI - A simple process you can use to build other things you can dream up Building with AI is one of the most fun things in the world. Please join me and take your first step! I think you will be surprised at what you can build. And if you're an experienced engineer, please share this with someone in your life who's been curious about building with AI. Come build with me!

Andrew Ng

635,675 просмотров • 6 месяцев назад