ChatGPT for Coding: A Love-Hate Relationship with Our AI Assistant

Are you tired of struggling through coding challenges alone? Enter ChatGPT, the AI assistant here to lend a virtual hand! But before you get your hopes up, let’s set the record straight: ChatGPT is far from perfect. In fact, it’s more like that quirky sidekick who occasionally messes up and leaves you scratching your head. So, grab your debugging tools and brace yourself for a wild ride!

When it comes to using ChatGPT for coding, be prepared for some bumpy interactions. Giving the right instructions can feel like trying to explain complex algorithms to a mischievous monkey with a typewriter. Sometimes, it just doesn’t quite get what you’re asking for, resulting in responses that are more “404” than “A-OK.” But hey, we can’t blame it entirely; teaching AI to code is like trying to train a cat to play fetch. It’s a work in progress, and we’re all in it together.

Mistakes? Oh boy, there will be plenty! ChatGPT may have its moments of brilliance, but it’s also prone to some epic fails. Getting the right answer often requires multiple attempts, like trying to fit a square peg into a round hole. But fear not, fellow programmers, because while the AI revolution might be on the horizon, SkyNet isn’t coming to claim our jobs just yet. So, embrace the quirks, have a laugh, and keep sharpening your own coding skills. ChatGPT is here to help, but it’s still a long way from taking over the world – let alone your favorite coding editor.

In conclusion, using ChatGPT for coding is like embarking on a thrilling roller coaster ride. It’s an experience filled with both frustration and amusement. While our AI assistant is far from perfect and can stumble over instructions like a toddler learning to walk, it offers a glimpse into the potential of AI in supporting our coding endeavors. So, fasten your seatbelts, keep your expectations in check, and enjoy the wild journey of coding with ChatGPT by your side. After all, we’re still firmly in control of our keyboards, and SkyNet can wait for another day.

The instructions appeared to be simple enough but it took my quirky assistant more than 20 attempts to get it right. Coding, breaking, recoding and so on.

provide a Bootstrap5.2 template for a live search. Add a script that calls a json library located ‘assets/movies.json’. the json structure is this: { “ImdbId”: “tt2093185”, “_id”: “tt2093185”, “name”: “Mogudu”, “poster_url”: “”, “year”: “2011”, “certificate”: “”, “runtime”: “159 min”, “genre”: [ “Drama” ], “ratingValue”: “3.7”, “summary_text”: “A couple truly in love get married. On the day of marriage just after the ritual due to a stupid reason an argument sparks, egoes crash which turns into violence. The couple separates. How they finally unite is rest of the movie.”, “ratingCount”: “255”, “director”: { “name”: “Krishna Vamsi”, “name_id”: “nm0885537” }, “cast”: [ { “name”: “Gopichand”, “name_id”: “nm1385228” }, { “name”: “Taapsee Pannu”, “name_id”: “nm3966456” }, { “name”: “Rajendra Prasad”, “name_id”: “nm0707399” }, { “name”: “Shraddha Das”, “name_id”: “nm3642275” } ] }, I want to be able to search by year, name, cast and genre

We got there in the end: