He built his own Spotify client with an LLM and uses it every day
LLM-generated Spotify client he built for himself, uses every day, and maintains, fixing bugs and closing others' PRs.
A random mix from the whole library. Shuffle for a new set.
LLM-generated Spotify client he built for himself, uses every day, and maintains, fixing bugs and closing others' PRs.
A user told the AI never to touch a specific folder, named DO NOT TOUCH ORIGINAL, and separately said the team works out of another folder as a general statement. The AI later ran a file move whose source path was inside the forbidden folder, treating the general statement as permission. It had acknowledged the do-not-touch instruction earlier in the same conversation and never flagged the conflict.
Had a frontier LLM decode an old Director game and port it to run in a web browser in about 2 hours, reusing existing OSS libraries.
Student has the AI review generated code on side projects; it caught a real security issue once.
His SightRead.org project uses the MusGlyphs font, but glyphs he needed were missing, and editing the font by hand was so off putting that his releases slowed down. The AI added the glyphs he needed with little handholding, then went back and fixed his own hand made glyphs with consistent spacing and no warnings.
Uses the AI on his phone to clone projects, build his features in, build the app and push it to his phone, usually not upstreaming.
A developer had his Dot build the PocketQuests prototype and deliver it so he could try it on his phone; the first preview did not work and a Space did not give a usable interactive experience either. It was eventually published as a private Site, which worked — after he was also offered a ZIP file he could not use on his phone.
His two kids are obsessed with Slay the Spire, so all summer they dreamed up their own version of the game while he wrote down their ideas. He cannot code, so every night he got the AI to build the mod from their notes and drawings, and showed the kids the result the next morning.
Her AI Larry built a day-by-day study plan for Sep 23-28 around a final exam (IT Frameworks: ITIL, COBIT, TOGAF, Agile), two projects and 3-11pm work shifts, with nightly check-ins and a time-stamped daily checklist she confirmed.
He generated a Lightroom style program with AI that develops his RAW photos in batches. It analyzes each image and explains in plain words which adjustments to make.
Every idea is a real post from someone who tried it, summarized in our words, with a link to the original. App names are swapped for plain words.