标签：#tools

Automated profanity censoring for video & audio Discussion | Link

Every developer has done it. You hit a README, you see the install command: curl -fsSL https://example.com/install.sh | sh And you run it. Maybe you skim the script first. Maybe you don't. But you run it. I've been doing this for years. And each time, a small voice in the back of my head says: you have no idea what that script actually does. You just piped a stranger's code straight into your shell. Eventually I got tired of ignoring that voice. What the pattern actually is curl | sh is not a bad pattern — it's a fast, convenient pattern with a real trust gap. The script runs with your permissions, in your shell, right now. It can: Install something with sudo Delete files with rm -rf Write to your disk with dd Access your SSH keys or .env files Set up a cron job or a systemd service that runs again next reboot Decode and run a payload with base64 | eval Most install scripts do none of these things maliciously. But many do several of them legitimately — and you wouldn't know which ones until something went wrong. --- ## What I built instead I'm a solo founder based in Ouagadougou, Burkina Faso. I build with heavy AI pairing — I'm not a trained engineer, I work with Claude, review the output, and ship. This tool ( peek ) was AI-paired and reviewed by me before release. peek is a ~130-line POSIX shell script that sits in front of the pattern: # Instead of: curl -fsSL https://example.com/install.sh | sh # Do: peek https://example.com/install.sh Before anything runs, peek: Fetches the script Scans it for risky patterns Prints a risk score and the exact dangerous lines Asks you to confirm — and refuses to auto-run a HIGH-RISK script unless you type RUN You can also pipe into it, or run it in analysis-only mode: curl -fsSL https://example.com/install.sh | peek # analyze from a pipe peek --print ./downloaded.sh # never runs, analysis only What it flags (and what it doesn't) The patterns peek checks: Root escalation — sudo , running as root Destructive file ops — rm -rf , fi

OS runtime unifying GA4, PostHog, + Stripe into a local db Discussion | Link

Powerful computer built into lightweight see-through glasses Discussion | Link

Turn any HTML/CSS design into an editable InDesign file Discussion | Link

AI Drum Machine MPC in your browser Discussion | Link

AI for API Design & Testing in 2026: Speakeasy vs Swagger AI vs Postman AI — I Built 3 APIs with Each API design is one of the most tedious parts of backend development. Writing OpenAPI specs, generating SDKs, testing endpoints, maintaining documentation — it's all hours of work that could be automated. In 2026, three tools are fighting for your API workflow: Speakeasy , Swagger AI , and Postman AI . I spent 4 weeks building the same REST API with each one, tracking time savings, code quality, and actual developer experience. Here's what actually happened. The Test Setup: Building a Real API I built a simple but realistic ecommerce API (GET/POST products, orders, user management) three separate times, measuring: Time to spec — writing the OpenAPI definition Time to SDK generation — generating client libraries Time to testing — setting up test cases and running them Documentation quality — readability, examples, completeness Iteration speed — how fast you can modify the API and regenerate everything All three tools were given the same requirements. Same laptop, same environment, same skill level (senior backend engineer). Speakeasy: The SDK Generation King Setup time: 8 minutes (CLI install, auth, first config) Learning curve: Low — clear docs, straightforward CLI Speakeasy is laser-focused on one problem: turning your API spec into production-ready SDKs. It generates TypeScript, Python, Go, Java, and more from a single OpenAPI definition. The Good SDK quality is exceptional. The generated TypeScript SDK was production-grade immediately — proper error handling, retry logic, request/response typing, retries built in. No cleanup work needed. Multi-language generation is instant. After writing the OpenAPI spec once, I had Python, Go, and TypeScript SDKs in < 2 minutes total. Each one was framework-idiomatic (using popular libraries in each language). Versioning is smart. Speakeasy automatically versioned SDKs and generated changelogs. When I modified the spec, it detect

Run your AI agents over any app, even games. Discussion | Link

Transform songs into retro Gameboy-style game console music Discussion | Link

Multiplayer mode for humans and AI Discussion | Link

Turn ideas into powerful apps within seconds Discussion | Link

TL;DR — A few weeks ago I tested four AI tools on a build job: a website for my son's cricket academy. This time the job had nothing to do with code. The coach just wanted a banner he could post. Same four tools, totally different result. ChatGPT made the best image, Grok made the best video, Gemini wouldn't make anything, and Claude tried to solve a graphics problem by writing HTML. If you read the last post , you've met my son's cricket coach. He runs MMCA — Maverick Master's Cricket Academy. Started in 2020, based in Bengaluru, genuinely good with the kids. The website is live now and parents have started messaging him on WhatsApp. So last weekend he came back with the next thing he needed, which is the thing every small academy actually runs on: "Can you make me a weekend batch banner? Something I can post in the parent groups." Now, this is a completely different job from the last one. That first experiment was design and development — agents writing real code, running tests, deploying to Cloudflare. This one is just graphics. No repo, no deploy, nobody reviewing a pull request. Just: here's my logo, here's a sample I like, make me something I'd be happy to send out. So I figured I'd run the same four tools again and see what happened. Same brief, same logo, everything on the default model with no special settings : ChatGPT, Claude, Gemini, Grok. Here's roughly what I typed, the way a normal client would brief you: Similar to this banner, make one for MMCA Academy (since 2020, logo attached). Weekend batch Sat 4:30—7, Sun 7—9:30pm. Add a small phrase like the sample. Be creative, keep it simple, but don't copy the sample exactly. The whole test really came down to one instruction: be creative, but don't copy. Whatever each tool did with that told me everything. Round 1: the static banner ChatGPT got it on the first go. "WEEKEND BATCH. TRAIN. PLAY. GROW." Logo top-left, the "Since 2020" bit kept, timings in clean little cards, an enrol number, three badges acros

Free Figma agent + Import anything to Figma Discussion | Link

AI coworker in Slack that builds reports, work tools, + more Discussion | Link

Turn any photo into a beautiful wallpaper Discussion | Link

Originally published on rikuq.com . Republished here for Dev.to's readers. I dropped my $100/month Claude Max subscription and migrated entirely back to Antigravity. If you want the verdict upfront: Claude Desktop is still the best tool for beginners who need the AI to guess their intent from clumsy prompts. But if you have solid documentation discipline and cost efficiency is a serious factor for your SaaS, Antigravity is now the clear winner. I'm a Chartered Accountant by trade with zero formal coding experience. I’ve shipped three production AI SaaS— Prism , Citare , and BatchWise —relying entirely on AI tools. I started with VSCode, moved to Antigravity (when it was just an IDE), and eventually landed on the Claude Desktop App. Claude was incredible; it operated in the background, handled my stack, and I didn't need to know what was happening under the hood. But the bills started stacking up. When my Claude usage consistently hit $100 a month, efficiency became a priority. I fired up the new version of Antigravity and found the recent updates had completely transformed it. It is no longer just an IDE—it is a full agentic desktop experience that mirrors what made Claude so good. TL;DR — The 2026 Reality Feature Claude Desktop App Antigravity (New Update) Best for Beginners, unlimited budgets, "pure performance" Experienced AI directors, cost-conscious solo founders Pricing $100+/mo (Claude Max) $20/mo (Gemini Advanced) Agentic Workflow Exceptional. The benchmark. Identical. Background execution, zero friction. Context Handling Better at anticipating intent from messy prompts Huge total memory, but requires tighter prompting MCP Support Native Native (handles them just as well) Verdict Keep it if cost doesn't matter Switch to it if efficiency is the goal The Catalyst for Switching My path to Antigravity wasn't a calculated feature comparison. It was pure economics combined with a pleasant surprise. I had previously dropped Antigravity when it was just an IDE. When

Ship AI agents like web apps, in minutes. Discussion | Link

Turn your rambling thoughts into coherent notes Discussion | Link

With Agents, Branching, Community, and an all-new design Discussion | Link

Send, sign & manage documents easily Discussion | Link