71–80 of 128 posts
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Surprisingly GoLand has this build in. Just copy Json into a .go file and it'll prompt you if it should convert it to a struct.
... and there is no need for AI. You can also check out the awesome work Tom did: https://github.com/twpayne/go-jsonstruct
We have had strict instructions not to put any code/email/text into ChatGPT, just use it as a virtual person to talk to and get ideas from.
But: the moment ChatGPT v4 can run on-prem in my private cloud things will be going to be wild. One advantage of working in a large multinational is that for everything there is a procedure or a standard. I have 25 years of design documents, source code, test documents, user documents, and a ticket system with 25 years of problems & answers how each ticket was resolved. The moment I can feed that into my local ChatGPT instance the whole helpdesk/support system will dramatically change. I'm optimistic on the timeline: I think that within the next 2 to 3 years all commercial ticket tracking systems will have their own ChatGPT-like back-end.
I’m a company of one, and I use it every day, multiple times a day as a coding assistant. I’m using the excellent Code Genie (sp?) plug-in to VSC which puts a chat window directly in VSC and does cool things like allow you to highlight blocks of code and ask contextual questions / refactors / bug checks, etc. I would say my efficiency is up ~20% since starting to use it, and my Google searches & StackOverflow visits…
Just curious how the data flow works. Are you sending information to both places, CGenie and OpenAI? Full disclosure, I have never used CGenie. I know you can turn off data collection at OpenAI, can you do the same with them?
I don't use it, it returns mostly incorrect code that makes me realize it's not worth it. I'm more productive and write better code ignoring ChatGPT 95% of the time.
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my comment will probably get flagged or downvoted or whatever, but yeah agreed. I literally cannot understand how people code that need gpt as an assistant for writing code. If I can reason about it, I can write it faster then the feedback loop takes for prompting.
It's for new things: new languages, frameworks, libraries. When you're not fluent, it can be a helpful hand for a beginner, or someone who has to do a lot things that they are not expert in, like a one man band in a sole enterprise or corner of a startup. It can increase efficiency for generalists. For deep work, it's less useful.
Working for a large international company I use ChatGPT mostly as a code generator for one time tools (for a variety of languages and shells) and also to generate boilerplate text for email answers and document templates. I'm looking at this form a technical perspective and anything that can help my creative side be a bit better is good. A 2023 way of the rubber duck method of debugging, or a 2023 method of generatin…
Our boss uses it to formulate emails better
It’s not that it’s particularly amazing, more that the google hits I get when searching for my problems are littered with SO mirrors and low effort blogspam. If this was ~7 years ago I think the search results could have gotten me just as far.
I'm wearing a lot of hats at the moment since we're still in startup mode so the list is pretty varied: - I ask it to create list of questions that different personas might want to answer with our reports section. I then ask it to categorize those questions & to then provide suggestions for graphs & dynamic filters that would help answer those questions. - I ask it for help translating emails and documents for intern…
I was asking chatGPT give me boilerplate for Fabricjs Object today and it added a random object property which was nowhere to be found on official docs. At first I thought it was amazing to get a real looking code but upon testing I was confused how to take this.
I’m a company of one, and I use it every day, multiple times a day as a coding assistant. I’m using the excellent Code Genie (sp?) plug-in to VSC which puts a chat window directly in VSC and does cool things like allow you to highlight blocks of code and ask contextual questions / refactors / bug checks, etc. I would say my efficiency is up ~20% since starting to use it, and my Google searches & StackOverflow visits…