I finished an English series on the way I think ordinary people can start using AI for real work. The point is not to become an AI expert first. The point is to have one place where you can say what you want, give the tool access to the right folder, and check the result. Anything important still needs a human pause: publishing, deleting, paying, or authorizing. My preferred starting point is simp
If this is useful, a ❤️ helps others find it. All tests run on an 8-year-old MacBook Air. HiyokoLogcat supports Japanese and English. The AI diagnosis needed to respond in whichever language the user chose. The simplest solution: write the system prompt in the target language. Gemini follows it reliably. // Don't do this let prompt = format!("Analyze this log: {}\nRespond in Japanese.", context);
Imagine you have a Nodejs server with endpoint that performs heavy CPU operations. By default your server runs on a single thread. This means it will freeze depending on the CPU load. If your server has other asynchronous endpoints, for example, to execute database operations, those endpoints would become unresponsive while the heavy load endpoint is processing. Our first idea is to create more th
37 days. That's how long the main and submain branches diverged before the big merge today. It wasn't just about closing this gap; it was about making the biggest forward leap we've seen in weeks. The test matrix exploded from 78 to 117 tests, and we dropped an 11-commit sprint into IR lowering that hammered out essential struct and array support. That alone makes you want to take a closer look at
When building modern applications, one problem shows up everywhere: How do I uniquely identify data across systems? That’s where UUIDs (Universally Unique Identifiers) come in. A UUID is a 128-bit unique identifier used to identify information in distributed systems. Example: 550e8400-e29b-41d4-a716-446655440000 It looks random - and that’s the point. Traditional IDs (like auto-increment integers
If this is useful, a ❤️ helps others find it. All tests run on an 8-year-old MacBook Air. If a user closes the AI diagnosis overlay and reopens it, should you call Gemini again? No. Cache the result. Same input → same output. No reason to burn rate limit quota. Here's the caching layer I built into HiyokoLogcat. Without caching: User clicks diagnose on error line 847 Gemini responds in 3 seconds U
It happened to me. My site — bashsnippets.xyz — had been down for six hours before I knew That's the kind of thing that sits with you. The fix took 20 minutes to build. Here's exactly what I wrote and why The natural instinct is to just open a browser and load the page. You only check when you remember to You don't check at 2am when it actually goes down What you want is automated, logged, and
Every dev team has lost hours to .env problems. A missing variable breaks a deploy. I built Razify to make all of that stop happening. Razify is a single binary CLI tool for .env file management. No cloud account No tracking No Go installation required Works with Node.js, Python, Ruby, Laravel, Rails — anything that uses .env files. razify scan .env Detects leaked secrets using 80+ regex patte