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Contenido proporcionado por Charles M Wood. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Charles M Wood o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
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The Truth About AI in Everyday JavaScript Development - JSJ 696

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Manage episode 519431354 series 130015
Contenido proporcionado por Charles M Wood. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Charles M Wood o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
It feels great to finally be back on the mic after a stretch of travel, work, and general chaos, and in this episode we’re diving into a topic that’s been coming up more and more in everyday developer conversations: how to actually use AI in your JavaScript development workflow. This isn’t about adding AI features to your app — it’s about using LLMs and AI-powered tools as part of your day-to-day coding practice.
We talk through the tools we each rely on, how they’ve changed the way we write code, where they fall short, and where they can save hours of work. We also dig into the real differences between “AI-assisted coding” and “vibe coding,” the unexpected pitfalls of having AI write your tests, and the growing concerns juniors are facing in a job market that looks very different than it did just a few years ago. If you’re trying to figure out how to work with AI without losing your sanity (or your code quality), this one’s worth a listen.
Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
  continue reading

743 episodios

Artwork
iconCompartir
 
Manage episode 519431354 series 130015
Contenido proporcionado por Charles M Wood. Todo el contenido del podcast, incluidos episodios, gráficos y descripciones de podcast, lo carga y proporciona directamente Charles M Wood o su socio de plataforma de podcast. Si cree que alguien está utilizando su trabajo protegido por derechos de autor sin su permiso, puede seguir el proceso descrito aquí https://es.player.fm/legal.
It feels great to finally be back on the mic after a stretch of travel, work, and general chaos, and in this episode we’re diving into a topic that’s been coming up more and more in everyday developer conversations: how to actually use AI in your JavaScript development workflow. This isn’t about adding AI features to your app — it’s about using LLMs and AI-powered tools as part of your day-to-day coding practice.
We talk through the tools we each rely on, how they’ve changed the way we write code, where they fall short, and where they can save hours of work. We also dig into the real differences between “AI-assisted coding” and “vibe coding,” the unexpected pitfalls of having AI write your tests, and the growing concerns juniors are facing in a job market that looks very different than it did just a few years ago. If you’re trying to figure out how to work with AI without losing your sanity (or your code quality), this one’s worth a listen.
Become a supporter of this podcast: https://www.spreaker.com/podcast/javascript-jabber--6102064/support.
  continue reading

743 episodios

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