The AI’s fixes for a CAD tool's geometry bugs were accepted into the next release
The AI commits fixed SolveSpace NURBS boolean issues; most fixes were accepted after expert review and included toward the 3.3 release.
A random mix from the whole library. Shuffle for a new set.
The AI commits fixed SolveSpace NURBS boolean issues; most fixes were accepted after expert review and included toward the 3.3 release.
A writer had the AI read more than 1,000 of his Apple Notes from 2016 to today — letters, journals and dream logs — and build a private local site mapping the ideas he keeps returning to. It also produced a model of his writing voice and a query tool to ask new questions at lower token cost.
He caught the new supernova SN 2026aaiv in NGC 7331 from his backyard with a Seestar S50, taking 371 ten-second shots. With a lot of help from the AI he measured its brightness for the first time, getting V = 12.5 plus or minus 0.2.
A fan of FF6 and Chrono Trigger spent four days going back and forth with AI to build Crimson Oath, a free SNES-style JRPG that runs in the browser with two chapters, four party members, ATB battles and 31 music tracks in six languages. Every sprite and song lives in code — the game loads no image or audio files.
The AI generated his chess analysis code, annotated PGNs, HTML pages and videos over multiple sessions; he now regularly consumes the generated video.
Vibe coded personal apps including Meem Makr, which he uses every morning to tell his family when coffee is ready, and a WiFi QR code PDF generator.
He ran AI for three days on a headless ThinkCentre Tiny in the corner, driving it from a browser. Out came a learning page that walks through one job of an AI agent from order to approval to publishing, and a playable online photo darkroom where visitors expose their own photo and the file never leaves their browser.
Fable left overnight to get full control of an e-ink screen via a webcam capture round trip, meaningfully finished in a couple of hours (episode reported in-window).
Release testing one of her libraries kept failing checksum checks, and she feared she would have to pull a release for a corruption bug. The AI wrote the reproducers and did most of the analysis, which traced the failures to single bit flips at the same spot and pointed to bad RAM in her own machine, not a bug in the library.
A developer built himself an AI evening edition. It goes through the posts and articles he saved, checks each one against his actual setup, and sorts them into adopt, trial, park or skip. Any change it suggests waits for his yes. The first run cleared his whole backlog of 30 items, and a planted fake post with hidden instructions was flagged and skipped.
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.