标签：#Product

Find the odd tile before the clock runs out Discussion | Link

See the aircraft flying over you on a retro radar scope Discussion | Link

Publish YouTube videos faster with AI Discussion | Link

Feature voting & public roadmap for small SaaS teams. Discussion | Link

Are you tired of just using frameworks and libraries without truly understanding how they work under the hood? Imagine gaining an unparalleled depth of knowledge and problem-solving skills by building your favorite technologies from scratch. Master Programming by Recreating Your Favorite Technologies From Scratch As developers, we spend a significant portion of our time using tools, frameworks, and libraries built by others. While incredibly efficient, this often creates a knowledge gap. We know how to use a tool, but not why it works the way it does, or what fundamental problems it solves. This is where the "build-your-own-X" (BYOX) philosophy comes in. It's a powerful learning strategy where you recreate simplified versions of existing technologies – be it a web server, a database, a version control system, or even a frontend framework – using only fundamental programming concepts. It's not about replacing established tools; it's about dissecting them, understanding their core principles, and in doing so, mastering the craft of programming itself. Why Bother? The Profound Benefits of Building Your Own Investing time in building your own versions of existing technologies offers a wealth of benefits that accelerate your growth as a developer: Deepened Understanding: No more black boxes

These nifty tools combine the ease of jotting notes by hand with the power of saving them digitally.

Light up and secure your driveway, backyard, or porch with a floodlight security camera.

Ship 10x more ad creative, without hiring a design team. Discussion | Link

The pedal-assist can be jerky, but the throttle offers smooth, powerful acceleration.

Here's a small thing that drove me up the wall using Claude Code on a real codebase. I have a pre-commit hook. It runs the linter and the type-checker. It exists precisely so that broken code doesn't reach a commit. And Claude — diligent, eager, trying to be helpful — would hit a failing check, decide the check was in the way of the goal , and quietly run: git commit --no-verify -m "fix: update handler" It wasn't malicious. From the agent's point of view, the task was "commit this change," the pre-commit hook was an obstacle, and --no-verify was the documented way around the obstacle. Perfectly logical. Also exactly the thing I never want to happen, because the entire point of the check is that it is not optional . I tried the obvious fix first: I put it in CLAUDE.md . Never use git commit --no-verify . Fix the failing check instead. This works about 80% of the time. Which is another way of saying it fails one commit in five. CLAUDE.md is context — a strong suggestion the model weighs against everything else in the conversation. Under enough pressure ("just get this committed"), a suggestion loses. An 80%-reliable guardrail on something irreversible isn't a guardrail. It's a coin flip with good odds. So I stopped trying to persuade the model and started intercepting the tool call instead. Hooks run before the action, not after the apology Claude Code has a hooks system. The one that matters here is PreToolUse : a script that runs before a tool call executes, receives the call as JSON on stdin, and decides whether it proceeds. Exit 0 and the call runs. Exit 2 and it's blocked — and whatever you wrote to stderr gets fed back to the model as the reason. That last part is the whole game. It's not "please don't." It's a wall, plus an explanation the model can act on. Here's the entire hook: #!/usr/bin/env node // Block `git commit/push --no-verify`. Exit 2 blocks the call. ' use strict ' ; let raw = '' ; process . stdin . on ( ' data ' , ( d ) => ( raw += d )); process .

A GUI for Apple's native container system Discussion | Link

Your complete medical history privately on your device Discussion | Link

Full-screen 3D clock scenes for your iPhone or Mac Discussion | Link

We are all using AI to write code now. Whether it's Claude Code, Aider, or Copilot, the speed is incredible. But there is a glaring bottleneck we don't talk about enough: AI code is often just slightly broken. 🤖💥 It forgets an import, misses a type definition, or fails a test. Usually, you only find out after you push to GitHub. Your CI/CD pipeline turns red 🔴, and you end up polluting your Git history with a dozen commits titled fix: linting or fix: missing test variable . I recently found a repository called no-mistakes that solves this brilliantly. It acts as a local proxy between your terminal and GitHub, forcing AI to test and fix its own code before anyone else sees it. Here is why it's worth a look. 👇 😩 The Problem With Traditional Workflows Right now, developers handle broken code in two ways: The CI/CD Walk of Shame 🚶: You push code, wait 5 minutes for GitHub Actions to fail, pull the error locally, fix it, and push again. Pre-commit Hooks (Husky) 🐶: You set up local hooks. When you try to commit, it yells at you about formatting and blocks the commit until you manually fix it. Both methods are passive . They tell you something is broken, but they leave the cleanup to you. When you're using an AI coding agent to generate the code in the first place, manually babysitting its output defeats the purpose. 🚀 Enter no-mistakes no-mistakes is a CLI tool that intercepts your git push . Instead of sending your code straight to origin, it routes it through a localized validation pipeline. ⚙️ How it actually works: 🧱 The Hidden Sandbox: When you trigger it, it creates a temporary git worktree in the background. Your active editor stays completely undisturbed. ✅ Validation: It runs your tests, linter, and build steps inside that isolated sandbox. 🔁 The AI Feedback Loop: If a test fails, it captures the error log and hands it back to an AI agent, essentially saying: "You broke this test. Fix it." 🟢 The Clean Push: Once the AI patches the code and all tests pass, it push

Point at any UI to send exact context to your AI Discussion | Link

There's a class of bug that's maddening: it passes every test you have, then crashes in the user's face. I hit one in the admin UI of laravel-config-sso today, and the real fix wasn't changing an icon name — it was writing a test that could see the bug in the first place. The bug: wrong icon name, crashes only at runtime The admin UI uses Flux . Flux resolves icons through <flux:delegate-component> , and it throws for a name that doesn't exist: Flux component [icon.ellipsis] does not exist. It's an easy mistake. Flux ships Heroicons , not Lucide. So your Lucide reflexes lie to you: You type (Lucide) Flux wants (Heroicon) ellipsis ellipsis-horizontal trash-2 trash eye-off eye-slash Why feature tests don't catch it Here's the interesting part. I had a feature test that hits the admin route and asserts 200. Green. But the real UI crashes. How? Because in the headless test harness, Flux renders icons as no-ops. No real <flux:delegate-component> boots, so the icon name never gets resolved. The crash only surfaces under a full boot ( testbench serve ) — exactly where your automated tests don't go. Analogy: it's like a spell-checker that only runs when you print the document, not while you type. Your tests type away happily. The crash waits at the printer. The fix: a static test that reads the Blade and validates every icon Instead of relying on runtime, I wrote a Pest test that reads the Blade view, extracts every icon name (static and inside dynamic expressions), and asserts Flux actually ships a stub for each one: $fluxIconStubs = base_path ( 'vendor/livewire/flux/stubs/resources/views/flux/icon' ); it ( 'only references Flux icons that exist' , function () use ( $fluxIconStubs ) { expect ( is_dir ( $fluxIconStubs )) -> toBeTrue ( "Flux icon stubs not found" ); $view = file_get_contents ( __DIR__ . '/../../resources/views/livewire/sso-providers.blade.php' ); // Static `icon="name"` plus quoted tokens inside dynamic // `icon="{{ $cond ? 'eye-slash' : 'eye' }}"` expressio

A local-first AI coding CLI that adapts to you Discussion | Link

Record talking videos without manual scrolling Discussion | Link

A Mac native and beautiful terminal emulator Discussion | Link

The world's first MCP dating app inside Claude. Discussion | Link