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Vibe Coding: Building Faster with AI-Powered Development - JSJ 687

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Manage episode 503751319 series 1445914
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode of JavaScript Jabber, we dive deep into the world of vibe coding—what it means, how it works in practice, and why it’s changing the way developers build software. I’m joined by Anthony Campolo, who shares his hands-on experience developing AutoShow, an app that automates podcast show notes, using AI-assisted workflows. We talk about how tools like Claude, ChatGPT, and Gemini accelerate development, the role of rule files, and the balance between automation and manual QA.
Along the way, we explore the impact of LLMs on junior vs. senior developers, how companies are adapting AI-driven coding practices, and whether the future of software development still requires humans in the loop. This conversation blends real-world coding insights, practical tools, and some big-picture questions about where AI is taking the industry.
Check out Anthony Campolo here.
Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
  continue reading

748 episodes

Artwork
iconShare
 
Manage episode 503751319 series 1445914
Content provided by Charles M Wood. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Charles M Wood or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.
In this episode of JavaScript Jabber, we dive deep into the world of vibe coding—what it means, how it works in practice, and why it’s changing the way developers build software. I’m joined by Anthony Campolo, who shares his hands-on experience developing AutoShow, an app that automates podcast show notes, using AI-assisted workflows. We talk about how tools like Claude, ChatGPT, and Gemini accelerate development, the role of rule files, and the balance between automation and manual QA.
Along the way, we explore the impact of LLMs on junior vs. senior developers, how companies are adapting AI-driven coding practices, and whether the future of software development still requires humans in the loop. This conversation blends real-world coding insights, practical tools, and some big-picture questions about where AI is taking the industry.
Check out Anthony Campolo here.
Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
  continue reading

748 episodes

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