Hyper-Personal Software with Python - Talk Python to Me Ep. 558
Every company has one. The little internal tool that Jane built back in 2021, and then Jane left. Nobody understands it, nobody will touch it. There are two unwritten rules around it: don't change it, it's working. And if you break it, you bought it. That's dark-matter enterprise software. For every app you can actually see, there are ten of these sitting in the shadows, frozen. Michael Booth thinks that just changed. He read my article on hyper-personal software and ran with it, writing about hyper-team software: small teams inside big companies finally building the tools that were never going to get built. We cover where this works, where it quietly goes wrong, and the guardrails that keep it from turning into a mess. Let's get into it. ▬▬▬▬ About the podcast ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ This video is the uncut, live recording of the Talk Python To Me podcast ( https://talkpython.fm ). We cover Python-focused topics every week and publish the edited and polished version in audio form. Subscribe in your podcast player of choice (100% free) at https://talkpython.fm/subscribe. ▬▬▬▬ Guests ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Michael Booth ▬▬▬▬ Links and resources from the show ▬▬▬▬▬▬▬▬▬▬▬▬ Talk Python AI Integrations: https://talkpython.fm/blog/posts/announcing-talk-python-ai-integrations/ From Hyper-Personal to Hyper-Team Software: Small Team-Built, AI-Assisted Tools Inside the Enterprise: https://www.databooth.com.au/posts/hyper-team-software/ What hyper-personal software looks like (MK's article): https://mkennedy.codes/posts/what-hyper-personal-software-looks-like/ Databooth Site: https://www.databooth.com.au Wall Street just lost $285 billion because of 13 markdown files: https://martinalderson.com/posts/wall-street-lost-285-billion-because-of-13-markdown-files/ SaaSpocalypse is real but everyone is panicking about the wrong thing: https://www.reddit.com/r/SaaS/comments/1rtszfp/saaspocalypse_is_real_but_everyone_is_panicking/ Warp Terminal: https://www.warp.dev ▬▬▬▬ Dive deeper ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Listen to the Talk Python To Me podcast at https://talkpython.fm and explore over 275 hours of Python courses at https://training.talkpython.fm/courses. ▬▬▬▬ Follow us on Social ▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬▬ Mastodon: Michael - https://fosstodon.org/@mkennedy & Talk Python - https://fosstodon.org/@talkpython Bluesky: Michael - https://bsky.app/profile/mkennedy.codes & Talk Python - https://bsky.app/profile/talkpython.fm X: Michael - https://x.com/mkennedy & Talk Python - https://x.com/talkpython