The Truth About AI in Everyday JavaScript Development - JSJ 696

JavaScript Jabber

Το περιεχόμενο παρέχεται από το Charles M Wood. Όλο το περιεχόμενο podcast, συμπεριλαμβανομένων των επεισοδίων, των γραφικών και των περιγραφών podcast, μεταφορτώνεται και παρέχεται απευθείας από τον Charles M Wood ή τον συνεργάτη της πλατφόρμας podcast. Εάν πιστεύετε ότι κάποιος χρησιμοποιεί το έργο σας που προστατεύεται από πνευματικά δικαιώματα χωρίς την άδειά σας, μπορείτε να ακολουθήσετε τη διαδικασία που περιγράφεται εδώ https://el.player.fm/legal.

21d ago 1:15:07

MP3•Αρχική οθόνη επεισοδίου

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.
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