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Large Language Models

SSPai Editors Share Practical 'Vibe Coding' Projects for Everyday Needs

SSPai editors share how they used AI-assisted 'vibe coding' to build small personal tools, from weather dashboards to Windows update disablers.

AI News Feed · 2026-08-26 19:54

One editor, going by PlatyHsu, built a weather dashboard that combines forecasts from the Shenzhen Weather Bureau and the Hong Kong Observatory. He prefers the Hong Kong Observatory's forecasts because they describe weather systems and processes, not just conclusions, but found both official websites cumbersome to browse. After inspecting the backend data sources with browser developer tools, he chose Cloudflare Workers and KV for hosting and asked Claude Opus 4.6 to generate the page with a minimal, text-first design. The first output was already usable, and after minor adjustments the whole tool was completed within an hour. PlatyHsu also said he created RSS feeds for websites lacking official ones by using AI to periodically check page content.

Another editor, Zhang Yiyuan Nick, used AI to write two Chrome extensions for Weibo and X that save bookmarked posts — including text, images and videos — to a local folder. When needed, the extensions compile all saved posts into ENEX files for Evernote. He described giving the AI a clear goal at the start, then iterating on details like button positions and tag mechanisms. He also asked ChatGPT to stop Windows from automatically updating and restarting overnight. The AI disabled the update service and added a watchdog script that checks and re-disables updates after every restart, with the frequency adjusted from hourly to once per boot. Zhang noted that Evernote restricts imported notes to separate notebooks, so he has to clean up after each import.

A third editor, Guangling Xizhi, discussed the complexity of ffmpeg, a powerful multimedia tool, noting that AI can help users write the necessary commands without deep research, making custom batch transcoding more accessible.

The report also highlights prompt-design insights, such as researching data sources and specifying deployment and design requirements in advance to save time and tokens. Throughout, the editors show that even rough and small helpers can make daily digital routines easier.