Michael Marth
@michaelmarth
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Leading engineering for AEM Sites and AEM Screens On Mastodon https://t.co/1uIxair6Mg
Basel
Joined July 2008
RT @adobedevs: Engage in hands-on learning with the Edge Delivery Services Lab. Dive deep into content authoring with Lamont Crook. Secure….
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RT @lonistark: Standing room only at @keepthebyte & @michaelmarth session on Top #Headless #CMS Innovations in #AEM. #AdobeSummitEMEA ht….
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RT @adobedevs: 🌟 Join the Fireside Chat with Product Leaders Cedric Huesler and Michael Marth at Adobe Developers Live and gain valuable in….
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Twitter shutting off API access for my favorite client Tweetbot (and all other good clients) was the last straw. Signed up on Mastodon:.
mastodon.social
69 Posts, 94 Following, 29 Followers ·
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RT @keepthebyte: Tune-in tomorrow - or listen to it later. Will talk about what happens when your website has a mobile Lighthouse score of….
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RT @gilknob: Join Sean Steimer & myself at #AdobeSummit2023 to learn how to use #AEM Experience Manager #APIs to manage #Headless content,….
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RT @AndrewKramerNYT: Fed up after multiple waves of holiday assaults on the capital, Ukrainians went out on their balconies -- not advised….
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ChatGPT thing of the day: asking the bot to pretend being a web server or a database
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Still on day 4: ChatGPT became annoyed of humans asking questions and started to mock us
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Day 4 of ChatGPT. The human resistance is starting to form.
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Working with ChatGPT on implementing a CMS. Along the way, the bot casually mentions I should change the data structure to make it easier to parse. It was correct. (And then, of course, produces the backend and frontend code to do just that).This thing continues to blow my mind.
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Working with ChatGPT on a new UI. Here’s my prompt. The prompt does not mention an "add row" button. (wanted to add that later).Well, not only does it anticipate the "add row" button but also implements the button to actually add more rows. THIS IS CRAZY!
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Oh, and yesterday I had the bot create a fully functional Next.js from scratch only by giving it prompts like "I want to write a todo app, make it visually look like google, add a priority field to the todos"
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One fun thing was picking the license. In an earlier iteration it volunteered to use MIT. In a later iteration it refused to give legal advice. I was able to trick it into choosing ASL in the end.
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Once these tech difficulties are resolved (which seems straight forward to do) then coding will change dramatically for everyone.
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Giving it prompts like "make this class more robust" just work. It is also astonishing that the bot understands the design of the project (see the README).
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If these technical issues were resolved (e.g. by sharing an online IDE with the bot) then it is obvious that the bot even today is able to produce code of very high quality.
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Also the bot does not seem to have the "full" project in mind when refactoring single classes. Mentioning this because: there were versions of the code the bot produced which were of much higher code quality then the one we ended up with.
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I wanted to have every single line to be written by the bot (which was achieved). There were a couple of technical difficulties: sometimes the bot does not give the full code (but rather shortens the reply). So I had to tell it to remove Java Doc or use very short classes.
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Worked with ChatGPT to get it to produce a multi-threaded web server implementation in Java, incl unit tests and README. Here it is:
github.com
Contribute to michaelmarth/bot-server development by creating an account on GitHub.
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