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title: Building a YouTube to SRT Converter | ||
description: 'My adventure with Cursor AI: Building a YouTube to SRT Converter' | ||
tags: [ai, youtube, srt, python] | ||
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(_This post was written by AI, using the transcript from [my YouTube video on building a python script with Cursor](https://youtu.be/74c2tAKXJ9M?si=XC-Hnh-tQoRvY0ow)._) | ||
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<div data-responsive-youtube-container> | ||
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<iframe width="560" height="315" src="https://www.youtube.com/embed/74c2tAKXJ9M?si=aT22CH8JnJvn1UIt" title="YouTube video player" frameborder="0" allow="accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share" referrerpolicy="strict-origin-when-cross-origin" allowfullscreen></iframe> | ||
</div> | ||
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# Building a YouTube to SRT Converter | ||
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As a developer always on the lookout for new tools to enhance productivity, I recently took Cursor AI for a spin. This AI-powered code editor promised to streamline the coding process, so I decided to put it to the test by building a Python script to convert YouTube videos to SRT transcripts. | ||
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## The Good | ||
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Cursor AI impressed me with its ability to generate code based on natural language prompts. With a simple description of my project goals, it produced a basic script structure that I could build upon. The AI assistant was particularly helpful in providing explanations and suggestions throughout the development process. | ||
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## The Challenges | ||
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However, the journey wasn't without its hurdles. The initial setup and navigation of Cursor AI's interface took some getting used to. I found myself occasionally confused by certain features and had to experiment to understand how to effectively use commands like `Command K` for prompting and editing, and `Command Shift L` for focusing the AI on specific code snippets. | ||
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## The Learning Curve | ||
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As I progressed, I tackled tasks like setting up a virtual environment, managing dependencies, and initializing version control. While Cursor AI provided guidance, I still needed to apply my developer knowledge to ensure best practices were followed. | ||
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## The Outcome | ||
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By the end of my session, I had a functional Python script that could take a YouTube URL and generate an SRT transcript. More importantly, I had gained valuable insights into how AI can be integrated into the coding workflow. | ||
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## Final Thoughts | ||
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While Cursor AI streamlined parts of the development process, it's clear that it's not a magic solution. It's a powerful tool that, when used effectively, can enhance a developer's capabilities. However, it still requires a solid understanding of programming concepts and best practices. | ||
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As I continue to explore AI-assisted coding throughout September, I'm excited to see how tools like Cursor AI will shape the future of software development. Stay tuned for more adventures in AI-powered coding! | ||
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This blog post captures the essence of your experience, highlighting both the benefits and challenges you encountered while using Cursor AI to build your YouTube to SRT converter script. |