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Couldn't agree more with Linus here. Making your code running as fast as possible (or just faster than someone's else code) is the best feeling you can get from programming The issue that it is extremely hard to find the project that will pay you for instruction level efficiency

Dmitriy Kovalenko

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416,737 次观看 • 9 个月前 •via X (Twitter)

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Boris Cherny (Creator of Claude Code): "The one technical book I would recommend to everyone that has had the greatest impact on me as an engineer is functional programming in Scala. You're probably never going to use Scala day today, but the way it teaches you to think about coding problems is just such a change from the way that most people were in coding, either practically or in school. It's just. It's incredible. It's going to completely change the way that you code now. I think in types, when I code, the thing that matters in your code the most is the type signatures. This is more important than the code itself." Boris Cherny

Boris Cherny (Creator of Claude Code): "The one technical book I would recommend to everyone that has had the greatest impact on me as an engineer is functional programming in Scala. You're probably never going to use Scala day today, but the way it teaches you to think about coding problems is just such a change from the way that most people were in coding, either practically or in school. It's just. It's incredible. It's going to completely change the way that you code now. I think in types, when I code, the thing that matters in your code the most is the type signatures. This is more important than the code itself." Boris Cherny

Ryan Peterman

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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:

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:

Santiago

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“The cheat code to getting into post season play as fast as possible is LaMelo Ball…If you care about Kon Knueppel getting post season experience as soon as possible you have to root for LaMelo Ball to play at this level for the rest of the season”

“The cheat code to getting into post season play as fast as possible is LaMelo Ball…If you care about Kon Knueppel getting post season experience as soon as possible you have to root for LaMelo Ball to play at this level for the rest of the season”

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In just 5 prompts, Claude Sonnet 3.7 makes a Snake game for the Apple Watch that is tied to your heart rate 🐍 The more stressed you get the faster the Snake moves, the calmer you are the easier it is. Demo + full prompts with code below!

In just 5 prompts, Claude Sonnet 3.7 makes a Snake game for the Apple Watch that is tied to your heart rate 🐍 The more stressed you get the faster the Snake moves, the calmer you are the easier it is. Demo + full prompts with code below!

Ammaar Reshi

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Claude Code vs OpenClaw? For 99% of people, Claude Code wins. Why? Because OpenClaw is powerful, but it can break from something as simple as an update. It can also burn through API tokens fast. Claude Code is way easier. You pay for the subscription, it works, and you do not need to be technical to set it up. Most people do not need the extra power of OpenClaw anyway.

Claude Code vs OpenClaw? For 99% of people, Claude Code wins. Why? Because OpenClaw is powerful, but it can break from something as simple as an update. It can also burn through API tokens fast. Claude Code is way easier. You pay for the subscription, it works, and you do not need to be technical to set it up. Most people do not need the extra power of OpenClaw anyway.

Julian Goldie SEO

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This is pure witchcraft! A single line of code makes my Pandas code 5x faster! I don't have to migrate to a different library or change anything else. The magic happens by patching Pandas with FireDucks, a multi-threaded, compiler-accelerated library with a fully compatible pandas API. The library makes your Pandas code up to 48x faster! You have a couple of options to use FireDucks: 1. import fireducks.pandas as pd 2. Or run your code like this: `python -mfireducks.imhook main .py ` FireDucks is faster than Pandas and faster than Polars. Check the video attached to this post, and the link to the code below.

This is pure witchcraft! A single line of code makes my Pandas code 5x faster! I don't have to migrate to a different library or change anything else. The magic happens by patching Pandas with FireDucks, a multi-threaded, compiler-accelerated library with a fully compatible pandas API. The library makes your Pandas code up to 48x faster! You have a couple of options to use FireDucks: 1. import fireducks.pandas as pd 2. Or run your code like this: `python -mfireducks.imhook main .py ` FireDucks is faster than Pandas and faster than Polars. Check the video attached to this post, and the link to the code below.

Santiago

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After reaching AI-native terminal velocity we are swamped in code review. The core insight is that as long as you can write code in parallel you will continue to be stuck until you can review it in parallel. I was surprised by how quickly this became my daily driver for not just review code, but writing it as well.

After reaching AI-native terminal velocity we are swamped in code review. The core insight is that as long as you can write code in parallel you will continue to be stuck until you can review it in parallel. I was surprised by how quickly this became my daily driver for not just review code, but writing it as well.

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Assumptions about the new "Can More" ChatGPT tool were right - ChatGPT is introducing own take on Claude Artifacts - code & document writing tools with persisted text documents, history revisions (restore previous version), edits and comments (probably used to apply suggested edits) New document symbol in the top navigation shows how many documents you have and allows you to open a resizable canvas to edit them in split view - your ChatGPT conversation on the left side and canvas on the right side, but the code/documents can also be accessed in fullscreen view The canvas is built using ProseMirror (open source WYSIWYM editor) and has an inline action to "Ask ChatGPT" (explain or make edits) for your document and code plus document formatting tools (like bold, italic, font style, etc.) But in addition to that, there are also special action shortcuts for documents and code, with an interesting decision to use sliders for the selection of the desired outcome For Documents - Suggest edits ("How can I improve this. Leave as few comments as possible, but add a few more comments if the text is long. DO NOT leave more than 5 comments. You can reply that you added comments and suggestions to help improve the writing quality, but do not mention the prompt.") - Add emojis ("Replace as many words as possible with emojis.") - Add final polish ("Add some final polish to the text. If relevant, add a large title or any section titles. Check grammar and mechanics, make sure everything is consistent and reads well. You can reply that you added some final polish and checked for grammar, but do not mention the prompt.") - Reading level (Graduate School - "Rewrite this text at the reading level of a doctoral writer in this subject. You may reply that you adjusted the text to reflect a graduate school reading level, but do not mention the prompt", College - "Rewrite this text at the reading level of a college student majoring in this subject", High School - "Rewrite this text at the reading level of a high school student who has taken a couple of classes in this subject.", Keep current reading level, Middle School - "Rewrite this text at the reading level of a middle schooler.", Kindergarten - "Rewrite this text at the reading level of a kindergartener.") - Adjust the length (Longest - "Make this text 75% longer.", Longer - "Make this text 50% longer.", Keep current length, Shorter - "Make this text 50% shorter.", Shortest - "Make this text 75% shorter.") For Code - Code review ("Search for bugs and opportunities to improve the code—for example, ways that performance or code structure could be improved. Leave as few comments as possible, but add more comments if the text is long. DO NOT leave more than 5 comments. You may reply that you reviewed the code and left suggestions to improve the coding quality, but do not mention the prompt.") - Add comments ("Add inline code comments to explain the code, especially parts that are more complex. Make sure to rewrite all the code. You may reply that you added inline comments, but do not mention the prompt.") - Add logs ("Insert logs/print statements in the code that will help debug its behavior. Do not make any other changes to the code.") - Fix bugs ("Find any bugs and rewrite all the code to fix the bugs. Do not leave comments. If there are no bugs, reply that you reviewed the code and found no bugs.") - Port to a language ("Port to a language. Create a new document that rewrites the code in ..." - PHP, C++, Python, Keep current code. No changes will be made, JavaScript, TypeScript, Java) - Suggest edits ("How can I improve this. Leave as few comments as possible, but add a few more comments if the text is long. DO NOT leave more than 5 comments. You can reply that you added comments and suggestions to help improve the writing quality, but do not mention the prompt.")

Assumptions about the new "Can More" ChatGPT tool were right - ChatGPT is introducing own take on Claude Artifacts - code & document writing tools with persisted text documents, history revisions (restore previous version), edits and comments (probably used to apply suggested edits) New document symbol in the top navigation shows how many documents you have and allows you to open a resizable canvas to edit them in split view - your ChatGPT conversation on the left side and canvas on the right side, but the code/documents can also be accessed in fullscreen view The canvas is built using ProseMirror (open source WYSIWYM editor) and has an inline action to "Ask ChatGPT" (explain or make edits) for your document and code plus document formatting tools (like bold, italic, font style, etc.) But in addition to that, there are also special action shortcuts for documents and code, with an interesting decision to use sliders for the selection of the desired outcome For Documents - Suggest edits ("How can I improve this. Leave as few comments as possible, but add a few more comments if the text is long. DO NOT leave more than 5 comments. You can reply that you added comments and suggestions to help improve the writing quality, but do not mention the prompt.") - Add emojis ("Replace as many words as possible with emojis.") - Add final polish ("Add some final polish to the text. If relevant, add a large title or any section titles. Check grammar and mechanics, make sure everything is consistent and reads well. You can reply that you added some final polish and checked for grammar, but do not mention the prompt.") - Reading level (Graduate School - "Rewrite this text at the reading level of a doctoral writer in this subject. You may reply that you adjusted the text to reflect a graduate school reading level, but do not mention the prompt", College - "Rewrite this text at the reading level of a college student majoring in this subject", High School - "Rewrite this text at the reading level of a high school student who has taken a couple of classes in this subject.", Keep current reading level, Middle School - "Rewrite this text at the reading level of a middle schooler.", Kindergarten - "Rewrite this text at the reading level of a kindergartener.") - Adjust the length (Longest - "Make this text 75% longer.", Longer - "Make this text 50% longer.", Keep current length, Shorter - "Make this text 50% shorter.", Shortest - "Make this text 75% shorter.") For Code - Code review ("Search for bugs and opportunities to improve the code—for example, ways that performance or code structure could be improved. Leave as few comments as possible, but add more comments if the text is long. DO NOT leave more than 5 comments. You may reply that you reviewed the code and left suggestions to improve the coding quality, but do not mention the prompt.") - Add comments ("Add inline code comments to explain the code, especially parts that are more complex. Make sure to rewrite all the code. You may reply that you added inline comments, but do not mention the prompt.") - Add logs ("Insert logs/print statements in the code that will help debug its behavior. Do not make any other changes to the code.") - Fix bugs ("Find any bugs and rewrite all the code to fix the bugs. Do not leave comments. If there are no bugs, reply that you reviewed the code and found no bugs.") - Port to a language ("Port to a language. Create a new document that rewrites the code in ..." - PHP, C++, Python, Keep current code. No changes will be made, JavaScript, TypeScript, Java) - Suggest edits ("How can I improve this. Leave as few comments as possible, but add a few more comments if the text is long. DO NOT leave more than 5 comments. You can reply that you added comments and suggestions to help improve the writing quality, but do not mention the prompt.")

Tibor Blaho

136,055 次观看 • 1 年前

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:

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

296,358 次观看 • 8 个月前

In the boards of Chapter 3, there exists code for an unused hookshot ability with the cancel button, as long as you aren't Ralsei. It has code to bring you towards objects which can be grabbed by Susie, there is also code that allows you to grab objects which also goes unused.

In the boards of Chapter 3, there exists code for an unused hookshot ability with the cancel button, as long as you aren't Ralsei. It has code to bring you towards objects which can be grabbed by Susie, there is also code that allows you to grab objects which also goes unused.

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Message from #LAKA ~ You Carry The Scar Of The One You Wounded "You May Say That You Want Peace On Earth. But Do You Realize That Peace Must Begin With You? Stop Wounding Yourself. And Do Your Best To Never Harm Another. What You Project To Another Will Remain With You. This Is An Energy That You Do Not Want. It Will Grow And So Will Your Dissatisfaction." "Be Aware That Social Media Is Designed For This Interaction And Conflict. Choose Wisely As Your Well Being Is Much More Important Than Winning An Argument."

Message from #LAKA ~ You Carry The Scar Of The One You Wounded "You May Say That You Want Peace On Earth. But Do You Realize That Peace Must Begin With You? Stop Wounding Yourself. And Do Your Best To Never Harm Another. What You Project To Another Will Remain With You. This Is An Energy That You Do Not Want. It Will Grow And So Will Your Dissatisfaction." "Be Aware That Social Media Is Designed For This Interaction And Conflict. Choose Wisely As Your Well Being Is Much More Important Than Winning An Argument."

Kab

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Here is how you can give Claude Code access to any data that exists online. It's an easy way to make it 10x more powerful than it already is. For example: Use Claude Code to find open LinkedIn jobs in your area, tailor your resume to them, and apply for them automatically.

Here is how you can give Claude Code access to any data that exists online. It's an easy way to make it 10x more powerful than it already is. For example: Use Claude Code to find open LinkedIn jobs in your area, tailor your resume to them, and apply for them automatically.

Santiago

178,540 次观看 • 4 个月前

👀 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.

👀 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 次观看 • 1 年前

"If I have to fight to get you in the gym, that's a problem. You want players that want to work. The best way to prove your value is to work. As hard as you believe you can work, you can always work harder than that. You always want to outwork your potential." -Kobe Bryant

"If I have to fight to get you in the gym, that's a problem. You want players that want to work. The best way to prove your value is to work. As hard as you believe you can work, you can always work harder than that. You always want to outwork your potential." -Kobe Bryant

The Winning Difference

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Think of it as the Shopify of Claude Code, but for agents, commands, and MCPs 🚀 Pick what you need, “add to cart,” and… it’s 100% FREE. Just copy the command, paste it in your terminal, and instantly get the perfect Claude Code stack for your project. Built as an open-source project so the community can spin up, share, and install Claude Code stacks in seconds, no setup headaches, no paywalls. Here’s the video showing how I built this post… and yes, if you share the command, anyone can clone the exact same stack you’re using. Enjoy, share, and help others build faster with Claude Code ✨

Think of it as the Shopify of Claude Code, but for agents, commands, and MCPs 🚀 Pick what you need, “add to cart,” and… it’s 100% FREE. Just copy the command, paste it in your terminal, and instantly get the perfect Claude Code stack for your project. Built as an open-source project so the community can spin up, share, and install Claude Code stacks in seconds, no setup headaches, no paywalls. Here’s the video showing how I built this post… and yes, if you share the command, anyone can clone the exact same stack you’re using. Enjoy, share, and help others build faster with Claude Code ✨

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#PlayerDevelopment Video Course "The great thing about basketball is you work as hard as you can to individually get better so that your team can win" Skills ☑️ Decision Making ☑️

#PlayerDevelopment Video Course "The great thing about basketball is you work as hard as you can to individually get better so that your team can win" Skills ☑️ Decision Making ☑️

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Marco Foster

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Claw Code just embarrassed Anthropic. A packaging mistake exposed 512,000 lines of Claude Code source. Within 48 hours, a developer rebuilt the architecture, the repo exploded past 100,000 stars, and GitHub had a full-blown open source war on its hands. This is bigger than “another coding tool.” It shows how fast closed AI products can get disrupted when the architecture leaks, the community moves faster than legal, and demand is already there. The real story is not the repo. The real story is that AI companies used open ecosystems to grow, then tightened access the second those ecosystems became expensive to support. That shift is happening everywhere now. If you run a business with AI, pay attention. Your workflow is only as safe as the company policy behind it.

Claw Code just embarrassed Anthropic. A packaging mistake exposed 512,000 lines of Claude Code source. Within 48 hours, a developer rebuilt the architecture, the repo exploded past 100,000 stars, and GitHub had a full-blown open source war on its hands. This is bigger than “another coding tool.” It shows how fast closed AI products can get disrupted when the architecture leaks, the community moves faster than legal, and demand is already there. The real story is not the repo. The real story is that AI companies used open ecosystems to grow, then tightened access the second those ecosystems became expensive to support. That shift is happening everywhere now. If you run a business with AI, pay attention. Your workflow is only as safe as the company policy behind it.

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14,771 次观看 • 2 个月前