Video yükleniyor...

Video Yüklenemedi

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

Ana Sayfaya Dön

Table-stakes for developers: Use AI to review your code before you commit it. Look for potential issues, security vulnerabilities, duplicated code, unreadable messes, etc. I recorded a quick video to show you how you can do this for free.

Santiago

410,154 subscribers

28,393 görüntüleme • 1 yıl önce •via X (Twitter)

Bilim & Teknoloji Eğitim

Anya Rossi• Live Now

Private livecam show

0 Yorum

Yorum bulunmuyor

Orijinal gönderinin yorumları burada görünecek

Benzer Videolar

I force Claude Code to review every single line of code it generates for security vulnerabilities. This is table stakes. Companies shouldn't allow their developers to commit any code without doing this first. (MCP is an amazing way to improve Claude Code's capabilities and generate code that's 10x better than what you get out of the box.)

I force Claude Code to review every single line of code it generates for security vulnerabilities. This is table stakes. Companies shouldn't allow their developers to commit any code without doing this first. (MCP is an amazing way to improve Claude Code's capabilities and generate code that's 10x better than what you get out of the box.)

Santiago

81,625 görüntüleme • 8 ay önce

This is such a powerful AI coding workflow. You can now use Cursor or Windsurf for coding, and let CodeRabbit’s AI agent refactor messy code, help you debug, and find security vulnerabilities. Here’s how:

This is such a powerful AI coding workflow. You can now use Cursor or Windsurf for coding, and let CodeRabbit’s AI agent refactor messy code, help you debug, and find security vulnerabilities. Here’s how:

Alvaro Cintas

79,803 görüntüleme • 1 yıl önce

Write 100x better code using AI (for free!) Install the Codacy extension (VSCode, Cursor, WindSurf). This will install an MCP Server locally on your computer. Your coding copilot will use this server with the Codacy CLI to check every line of code it generates. The way this works is pretty awesome (assuming you are using Cursor): 1. You ask Cursor to generate some code 2. Cursor writes the code 3. Cursor then calls Codacy's MCP Server to check it 4. The MCP Server will use the Codacy CLI to find any issues 5. Cursor will fix the issues and call the MCP server again 6. 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! Codacy has been doing this for a long, long time, and their Guardrails MCP Server checks for a lot of potential issues: • Security issues • Quality standards • Pattern violations • Linting issues You can see more information about the extension here: I recorded a quick video to show you how it works. Thanks to the Codacy team for helping me set up everything, answering my 1,000 questions, and collaborating with me on this post.

Write 100x better code using AI (for free!) Install the Codacy extension (VSCode, Cursor, WindSurf). This will install an MCP Server locally on your computer. Your coding copilot will use this server with the Codacy CLI to check every line of code it generates. The way this works is pretty awesome (assuming you are using Cursor): 1. You ask Cursor to generate some code 2. Cursor writes the code 3. Cursor then calls Codacy's MCP Server to check it 4. The MCP Server will use the Codacy CLI to find any issues 5. Cursor will fix the issues and call the MCP server again 6. 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! Codacy has been doing this for a long, long time, and their Guardrails MCP Server checks for a lot of potential issues: • Security issues • Quality standards • Pattern violations • Linting issues You can see more information about the extension here: I recorded a quick video to show you how it works. Thanks to the Codacy team for helping me set up everything, answering my 1,000 questions, and collaborating with me on this post.

Santiago

63,219 görüntüleme • 11 ay önce

GitHub Copilot can review your code and generate tests for you in VS Code, and you can customize how it does this magic with targeted Custom Instructions...

GitHub Copilot can review your code and generate tests for you in VS Code, and you can customize how it does this magic with targeted Custom Instructions...

Visual Studio Code

82,442 görüntüleme • 1 yıl önce

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

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

Santiago

83,805 görüntüleme • 1 yıl önce

How as a non-technical person you can review the code your AI writes for you (Actual prompts below from Zevi Arnovitz)

How as a non-technical person you can review the code your AI writes for you (Actual prompts below from Zevi Arnovitz)

Lenny Rachitsky

23,301 görüntüleme • 4 ay önce

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.

Evan Boyle

23,954 görüntüleme • 4 ay önce

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

296,299 görüntüleme • 8 ay önce

Simplest way to create an AI agent today: You don't need to write any code. You don't need to build a workflow. You can literally build agents that complete useful tasks for you using a single prompt. Check the quick video I recorded!

Simplest way to create an AI agent today: You don't need to write any code. You don't need to build a workflow. You can literally build agents that complete useful tasks for you using a single prompt. Check the quick video I recorded!

Santiago

62,639 görüntüleme • 7 ay önce

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.

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.

Santiago

56,815 görüntüleme • 1 yıl önce

Claude Code has had TONS of secret updates over the past month They COMPLETELY change how you use Claude Code In this video I go over EVERY update, and show you how to use them, even if you've never used Claude Code before If you care about AI, this is a must watch:

Claude Code has had TONS of secret updates over the past month They COMPLETELY change how you use Claude Code In this video I go over EVERY update, and show you how to use them, even if you've never used Claude Code before If you care about AI, this is a must watch:

Alex Finn

54,942 görüntüleme • 5 ay önce

English is the most powerful language in the world. MongoDB just added support for MCP, and literally anyone can now query data without knowing anything about databases. If you know English, you are all set. I recorded a quick video to show you how I connect to a sample Airbnb database and run different queries: • How many listings? • How many listings in the US? • What's the list of countries in these listings? It takes 10 seconds to configure Claude, Cursor, WindSurf, or any other AI assistant to connect to MongoDB's MCP Server. By the way, the server supports much more than queries: • You can explore your collections • You can fetch schema information • You can generate app code snippets • You can manage your databases • You can handle cluster/user/admin tasks Here is a link to the MCP server GitHub repository: This is huge for developers. It's even bigger for non-developers. Thanks to the MongoDB team for collaborating with me on this post.

English is the most powerful language in the world. MongoDB just added support for MCP, and literally anyone can now query data without knowing anything about databases. If you know English, you are all set. I recorded a quick video to show you how I connect to a sample Airbnb database and run different queries: • How many listings? • How many listings in the US? • What's the list of countries in these listings? It takes 10 seconds to configure Claude, Cursor, WindSurf, or any other AI assistant to connect to MongoDB's MCP Server. By the way, the server supports much more than queries: • You can explore your collections • You can fetch schema information • You can generate app code snippets • You can manage your databases • You can handle cluster/user/admin tasks Here is a link to the MCP server GitHub repository: This is huge for developers. It's even bigger for non-developers. Thanks to the MongoDB team for collaborating with me on this post.

Santiago

44,818 görüntüleme • 11 ay önce

Like everyone else, I had to build something over the end-of-year break. Mine was GitHuman: a tool to review AI-generated code before you commit. It was built entirely by Claude Code. I reviewed every commit from my phone.

Like everyone else, I had to build something over the end-of-year break. Mine was GitHuman: a tool to review AI-generated code before you commit. It was built entirely by Claude Code. I reviewed every commit from my phone.

Matteo Collina

11,433 görüntüleme • 4 ay önce

CodeRabbit IDE extension is now available, it offers FREE AI code reviews directly in your code editor and it’s super easy to use. - Works in VS Code and compatible editors (Cursor, Windsurf) - supports all programming languages - catches 95%+ bugs with context-aware reviews - provides senior-level review feedback on each commit - catches defects that code gen tools often miss - enables one-click fixes for identified issues - transfers context to your code gen assistants How to use 👇

CodeRabbit IDE extension is now available, it offers FREE AI code reviews directly in your code editor and it’s super easy to use. - Works in VS Code and compatible editors (Cursor, Windsurf) - supports all programming languages - catches 95%+ bugs with context-aware reviews - provides senior-level review feedback on each commit - catches defects that code gen tools often miss - enables one-click fixes for identified issues - transfers context to your code gen assistants How to use 👇

AshutoshShrivastava

17,537 görüntüleme • 1 yıl önce

I made a plugin that turns figma designs to code using Claude AI Works with HTML, CSS, Tailwind, SwiftUI, Flutter, etc. This is production level code and you can enter custom prompts like "make it functional" or "add hover states". Oh and it's free. You can use your api keys.

I made a plugin that turns figma designs to code using Claude AI Works with HTML, CSS, Tailwind, SwiftUI, Flutter, etc. This is production level code and you can enter custom prompts like "make it functional" or "add hover states". Oh and it's free. You can use your api keys.

Meng To

220,472 görüntüleme • 1 yıl önce

Secure your code—the easy way. ✨ Find out how you can use GitHub's free security offerings like Dependabot, code scanning, and secret scanning for public repos. Plus, get AI-suggested fixes via GitHub Copilot Autofix. 🤖 Enhance your security in just a few steps. 🔐

Secure your code—the easy way. ✨ Find out how you can use GitHub's free security offerings like Dependabot, code scanning, and secret scanning for public repos. Plus, get AI-suggested fixes via GitHub Copilot Autofix. 🤖 Enhance your security in just a few steps. 🔐

GitHub

33,162 görüntüleme • 1 yıl önce

Claude Code tip: create an agent that specialises in code review and security. Then add a new memory entry with a nickname for it so you can call it anytime. My code review and security agent is called Big Tony.

Claude Code tip: create an agent that specialises in code review and security. Then add a new memory entry with a nickname for it so you can call it anytime. My code review and security agent is called Big Tony.

Richie - oss/acc

134,422 görüntüleme • 5 ay önce

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.

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

64,392 görüntüleme • 6 ay önce