Let's let ChatGPT generate Documentation for our LeadMagnet Django code. How good is it? How Fun, Exciting and Romantic is it? Usability? Is it as smart as all claims? We summarize the findings in recommendations for efficient use of ChatGPT for Django Documentation generation.
This is a free part of the series of implementing an email-harvesting function using a Lead Magnet in Django. Get your own email-list by trading an asset for emails. By using a targeted asset, you get the right type of potential customers to your following. This function can be bought as a service, but this is a DIY approach if you are into using Python and DJANGO. Part 7 of 4.
Part 1-3 sets up the Django code, that we will compare ChatGpt against here.
Part 4 sets up a SMAF analysis to decide if we can use it as a SaaS.
We can also see this as the third part looking into the usage of ChatGPT to generate Code, UnitTests and Documentation. Part 3 of 3.
00:00 ChatGPT generating DocStrings, How boring is this?!
00:14 Generating DocString for Magnet. How Powerful is this?
01:53 Generating DocString for Serializer. How Impossible is this?
03:07 Generating DocString for View. How Romantic is this?
04:00 The Wrap