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VS Code is adding new AI features every day to help you write code faster and better than ever. Here are a few favorites that I have that you should go try out right now. #vscode #githubcopilot

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James Montemagno

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24,786 просмотров • 1 год назад •via X (Twitter)

Наука и технологииОбразование#vscode#githubcopilot
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Software Engineering Expectations for 2026 - The majority of your code should be written by AI now - Cursor/Codex/Claude Code/Gemini/etc - You should try all the tooling and switch between them, as each one gets an edge over the others depending on the release cycle. - You should be using AI to check the code that is written by AI - Have AI write tests - Have AI read logs - Have AI navigate your browser - I don't do this every time because sometimes it's simple enough to check it myself - You should still skim code changes - This can be a lighter skim on internal tools and a heavier read through on customer facing code - Use AI to help you define specs
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Software Engineering Expectations for 2026 - The majority of your code should be written by AI now - Cursor/Codex/Claude Code/Gemini/etc - You should try all the tooling and switch between them, as each one gets an edge over the others depending on the release cycle. - You should be using AI to check the code that is written by AI - Have AI write tests - Have AI read logs - Have AI navigate your browser - I don't do this every time because sometimes it's simple enough to check it myself - You should still skim code changes - This can be a lighter skim on internal tools and a heavier read through on customer facing code - Use AI to help you define specs

Ben Awad

535,335 просмотров • 8 месяцев назад

Introducing: AI agents that ship product videos whenever you ship features. Engineering teams today are releasing product updates faster than ever before. But creating videos for every new release still takes weeks. Now, whenever you ship a feature to your software, Clueso deploys a team of AI agents to create launch videos, product demos, help tutorials, and more. Content can finally ship as quickly as code. Get access at:
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Introducing: AI agents that ship product videos whenever you ship features. Engineering teams today are releasing product updates faster than ever before. But creating videos for every new release still takes weeks. Now, whenever you ship a feature to your software, Clueso deploys a team of AI agents to create launch videos, product demos, help tutorials, and more. Content can finally ship as quickly as code. Get access at:

Akash Anand

45,277 просмотров • 1 месяц назад

Meet rabbit intern: your entire AI workforce in one agent. Build websites, write reports, design decks, code games - faster than ever - in minutes, not hours. Smarter than hiring a full team. Try it once. You won’t go back.
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Meet rabbit intern: your entire AI workforce in one agent. Build websites, write reports, design decks, code games - faster than ever - in minutes, not hours. Smarter than hiring a full team. Try it once. You won’t go back.

Parul Gautam

41,386 просмотров • 1 год назад

is a new superhuman full stack engineer that 2 weeks after launch has users building 4000 new products thanks to AI each day. It let's anyone build 20x faster than writing code. And it's free to try.
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is a new superhuman full stack engineer that 2 weeks after launch has users building 4000 new products thanks to AI each day. It let's anyone build 20x faster than writing code. And it's free to try.

Anton Osika

264,525 просмотров • 1 год назад

The hard part of building is no longer writing code. Code is easy. Nobody wins by writing more code or doing it faster. If you want to win, you need better thinking. There are a ton of startups focusing on using AI to write more code. I think they are missing the plot. We need a mental shift. We need tools that help us think faster, make better decisions, and focus on the right problems. I want you to check out Atoms because they are doing exactly this. They don't focus on the code, but on helping you build the right structure: 1. It starts by deep-researching marketing insights 2. It turns that into an execution plan 3. It builds both frontend and backend 4. It helps with deployment, SEO, growth, and analytics More importantly, it specializes in the core components you need to build and sell software online: • Authentication flows • Stripe payments • Infrastructure Their goal here is not to be another autocomplete tool or a copilot to help you write software. Their goal is to become a "vibe business team" that helps you build a business from the ground up. Here is a link for you to check them out: Thanks to the team for helping me onboard on the platform and collaborating with me on the post.
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The hard part of building is no longer writing code. Code is easy. Nobody wins by writing more code or doing it faster. If you want to win, you need better thinking. There are a ton of startups focusing on using AI to write more code. I think they are missing the plot. We need a mental shift. We need tools that help us think faster, make better decisions, and focus on the right problems. I want you to check out Atoms because they are doing exactly this. They don't focus on the code, but on helping you build the right structure: 1. It starts by deep-researching marketing insights 2. It turns that into an execution plan 3. It builds both frontend and backend 4. It helps with deployment, SEO, growth, and analytics More importantly, it specializes in the core components you need to build and sell software online: • Authentication flows • Stripe payments • Infrastructure Their goal here is not to be another autocomplete tool or a copilot to help you write software. Their goal is to become a "vibe business team" that helps you build a business from the ground up. Here is a link for you to check them out: Thanks to the team for helping me onboard on the platform and collaborating with me on the post.

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79,010 просмотров • 7 месяцев назад

#Config2023 Launch 1: Dev Mode A new space in Figma for developers with features that help translate design into code, faster. Read more: Here are all the ways you can use Dev Mode 👇
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#Config2023 Launch 1: Dev Mode A new space in Figma for developers with features that help translate design into code, faster. Read more: Here are all the ways you can use Dev Mode 👇

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617,455 просмотров • 3 лет назад

I'm teaching a new course! AI Python for Beginners is a series of four short courses that teach anyone to code, regardless of current technical skill. We are offering these courses free for a limited time. Generative AI is transforming coding. This course teaches coding in a way that’s aligned with where the field is going, rather than where it has been: (1) AI as a Coding Companion. Experienced coders are using AI to help write snippets of code, debug code, and the like. We embrace this approach and describe best-practices for coding with a chatbot. Throughout the course, you'll have access to an AI chatbot that will be your own coding companion that can assist you every step of the way as you code. (2) Learning by Building AI Applications. You'll write code that interacts with large language models to quickly create fun applications to customize poems, write recipes, and manage a to-do list. This hands-on approach helps you see how writing code that calls on powerful AI models will make you more effective in your work and personal projects. With this approach, beginning programmers can learn to do useful things with code far faster than they could have even a year ago. Knowing a little bit of coding is increasingly helping people in job roles other than software engineers. For example, I've seen a marketing professional write code to download web pages and use generative AI to derive insights; a reporter write code to flag important stories; and an investor automate the initial drafts of contracts. With this course you’ll be equipped to automate repetitive tasks, analyze data more efficiently, and leverage AI to enhance your productivity. If you are already an experienced developer, please help me spread the word and encourage your non-developer friends to learn a little bit of coding. I hope you'll check out the first two short courses here!
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I'm teaching a new course! AI Python for Beginners is a series of four short courses that teach anyone to code, regardless of current technical skill. We are offering these courses free for a limited time. Generative AI is transforming coding. This course teaches coding in a way that’s aligned with where the field is going, rather than where it has been: (1) AI as a Coding Companion. Experienced coders are using AI to help write snippets of code, debug code, and the like. We embrace this approach and describe best-practices for coding with a chatbot. Throughout the course, you'll have access to an AI chatbot that will be your own coding companion that can assist you every step of the way as you code. (2) Learning by Building AI Applications. You'll write code that interacts with large language models to quickly create fun applications to customize poems, write recipes, and manage a to-do list. This hands-on approach helps you see how writing code that calls on powerful AI models will make you more effective in your work and personal projects. With this approach, beginning programmers can learn to do useful things with code far faster than they could have even a year ago. Knowing a little bit of coding is increasingly helping people in job roles other than software engineers. For example, I've seen a marketing professional write code to download web pages and use generative AI to derive insights; a reporter write code to flag important stories; and an investor automate the initial drafts of contracts. With this course you’ll be equipped to automate repetitive tasks, analyze data more efficiently, and leverage AI to enhance your productivity. If you are already an experienced developer, please help me spread the word and encourage your non-developer friends to learn a little bit of coding. I hope you'll check out the first two short courses here!

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Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.
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Reviewing AI-generated code is the new bottleneck. Writing code was slow before. Now, in a few minutes, you can generate virtually unlimited lines of code using AI. But developers are now spending 70% of their time checking that code. That's the new bottleneck. I've been using Cline, and they have a feature that actually helps with this: You can click a button and have Cline generate an inline explanation for every single line of AI-generated code. Take a look at the attached video. What it does: 1. You can read the code and the explanation together 2. You don't lose context while reviewing code 3. You understand the "why" behind each change And here is the best part: It works on any git diff. You can use it to review PRs, understand commits from other people, or catch up on a codebase you haven't touched in a while.

Santiago

64,438 просмотров • 9 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:
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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

296,738 просмотров • 11 месяцев назад

👀 Ever want a second set of eyes on your code? GitHub Copilot code review can help! Available in preview, Copilot code review offers fast, AI-powered feedback on your code as you write it. You can quickly apply any feedback that Copilot suggests, directly in the editor.
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👀 Ever want a second set of eyes on your code? GitHub Copilot code review can help! Available in preview, Copilot code review offers fast, AI-powered feedback on your code as you write it. You can quickly apply any feedback that Copilot suggests, directly in the editor.

Visual Studio Code

75,224 просмотров • 1 год назад

I installed a new Visual Studio Code extension to help me write code. But this extension doesn't get in your way. It doesn't try to write code for you. It only gives you hints and recommendations about your code. I like that. Like a second pair of eyes, looking over my shoulder and telling me how I can do things better. The extension is Traycer. You can install it directly from inside Visual Studio Code. It's free forever for anyone working on open-source projects (and if you aren't, you can use it for free until the end of June.) I recorded a super-duper-quick video to show you how this extension works. I know code generation is a huge thing, but I really appreciate tools that help me do what I do better. Thanks to the Traycer team for helping me with the extension and collaborating with me on this post!
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I installed a new Visual Studio Code extension to help me write code. But this extension doesn't get in your way. It doesn't try to write code for you. It only gives you hints and recommendations about your code. I like that. Like a second pair of eyes, looking over my shoulder and telling me how I can do things better. The extension is Traycer. You can install it directly from inside Visual Studio Code. It's free forever for anyone working on open-source projects (and if you aren't, you can use it for free until the end of June.) I recorded a super-duper-quick video to show you how this extension works. I know code generation is a huge thing, but I really appreciate tools that help me do what I do better. Thanks to the Traycer team for helping me with the extension and collaborating with me on this post!

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prompting tip: How to write hybrid english & code prompts while building custom GPTs -Turn on code interpreter -"write code to ..." -Regenerate a few times until you get one you like -Copy paste it back into your prompt -tweak it to improve Now your ai can write consistent code Plus, you can add & combine with all sorts of english rules on top. Essentially adding english code logic "If the user asks for ..., then run this code" "If the user needs help with ..., use this code snippet and ask the user for all required information" Guess what thats a working if statement in english! if userAsksFor { // run this code } Prompts are code! English is a coding language Prompt-gramming is abstract coding
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prompting tip: How to write hybrid english & code prompts while building custom GPTs -Turn on code interpreter -"write code to ..." -Regenerate a few times until you get one you like -Copy paste it back into your prompt -tweak it to improve Now your ai can write consistent code Plus, you can add & combine with all sorts of english rules on top. Essentially adding english code logic "If the user asks for ..., then run this code" "If the user needs help with ..., use this code snippet and ask the user for all required information" Guess what thats a working if statement in english! if userAsksFor { // run this code } Prompts are code! English is a coding language Prompt-gramming is abstract coding

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117,034 просмотров • 2 лет назад

Need a little help building your islands? The Epic Developer Assistant Beta is here to lend a hand! This new AI-powered assistant helps you write Verse code for your UEFN projects, provides answers, workflow guidance, code snippets, and more. Check it out now on the Epic Developer Community:
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Need a little help building your islands? The Epic Developer Assistant Beta is here to lend a hand! This new AI-powered assistant helps you write Verse code for your UEFN projects, provides answers, workflow guidance, code snippets, and more. Check it out now on the Epic Developer Community:

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🚨Google and UCSD just introduced Radiance Meshes, a new radiance field representation that produces watertight meshes and renders faster than 3DGS. Code and demos are available now. Code: Demos:
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🚨Google and UCSD just introduced Radiance Meshes, a new radiance field representation that produces watertight meshes and renders faster than 3DGS. Code and demos are available now. Code: Demos:

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you can fix agents in production faster than ever with neatlogs ! code fixes and integrations are now live :) here’s a quick look
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you can fix agents in production faster than ever with neatlogs ! code fixes and integrations are now live :) here’s a quick look

simran sachdeva

38,990 просмотров • 3 месяцев назад

Claude Code just got it's biggest upgrade yet The desktop app is now by far the best way to be building apps with AI, even better than the CLI In this video I cover every single change and a few workflows for vibe coding faster than ever, even if you've never coded before:
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Claude Code just got it's biggest upgrade yet The desktop app is now by far the best way to be building apps with AI, even better than the CLI In this video I cover every single change and a few workflows for vibe coding faster than ever, even if you've never coded before:

Alex Finn

86,854 просмотров • 4 месяцев назад

Let's face it: AI can check your code 100x faster and catch 10x more issues than you can. "Code reviews" as a widespread practice is not coming back. There are only two reasons we should consider code reviews today: 1. To transfer knowledge within a team. 2. To ensure AI didn't miss critical aspects in the code. We are getting closer to a point where manually reviewing code will be as relevant as punching holes in a punch card. Here is one idea for you:
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Let's face it: AI can check your code 100x faster and catch 10x more issues than you can. "Code reviews" as a widespread practice is not coming back. There are only two reasons we should consider code reviews today: 1. To transfer knowledge within a team. 2. To ensure AI didn't miss critical aspects in the code. We are getting closer to a point where manually reviewing code will be as relevant as punching holes in a punch card. Here is one idea for you:

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"I told Claude 'remember you are not human' and it started working 10x better." "I have not written a single line of code in 14 months. I just run loops that write code for me." 1 hour masterclass on loop engineering that will turn you into the most dangerous person in AI right now. You will level up your coding and ship 10x faster. If I had this a year ago, I would've built my self improving hedge fund in a week instead of a year. Bookmark this, then read the article on building hedge fund.
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"I told Claude 'remember you are not human' and it started working 10x better." "I have not written a single line of code in 14 months. I just run loops that write code for me." 1 hour masterclass on loop engineering that will turn you into the most dangerous person in AI right now. You will level up your coding and ship 10x faster. If I had this a year ago, I would've built my self improving hedge fund in a week instead of a year. Bookmark this, then read the article on building hedge fund.

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