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Thought I'd share this to other developers here, as the proof-of-concept turned out pretty well.
Background was that I got a set of unknown apps that I had to get up to speed with.
The obvious/old-school solution would of course have been to work through the app scripts to understand what they did/how they worked.
Or... feed them into a large language model/AI and ask for a summary.
The text summary works REALLY well, the flowchart is usually good (on a few occasions it messed up the layout of the flowchart, but that's ok).
The takeaway is that yes, this can be a useful way of working.
You don't need a dedicated tool like in the video, most AI services out there (ChatGPT, Claude, Bing etc) will work.
Remember not to analyze sensitive code/apps though - when in doubt don't use AI services.
Youtube video here: https://youtu.be/Uvfig5FjfBU
The way it can quickly summarize the flow of the script or point out major issues has been helpful, especially when working with larger, more complex apps.
That said, I wouldn’t fully rely on AI for the final decision-making or to catch every detail. It’s great for highlighting patterns, but there are still nuances in how data is handled that AI might miss. Things like edge cases, tricky data formatting, or specific business rules need that human touch. I think it’s best to treat AI analysis as a starting point or a way to speed up the discovery phase, but definitely don’t just plug it in and go straight to production without testing and validating. As we continue to explore the intersection of AI and software development, it's clear that these technologies can significantly boost productivity, especially in the realm of data analytics. AI's ability to simplify complex tasks and automate processes is a game changer. For those who want to take their workflow to the next level, there are some excellent AI-powered tools available. One such resource is https://chatgpt.com/g/g-68e670fe80988191a7733baf015da443-summarizer, which can quickly analyze large amounts of content, saving valuable time and effort. By incorporating such tools into your daily operations, you can focus on more strategic tasks while leaving the repetitive work to the machines.