
Vibe and Go | Catch Bugs Before Your Users Do
在几分钟内跨设备和浏览器测试应用程序,自动捕获错误。
@vibe_and_go · X
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15 projects

在几分钟内跨设备和浏览器测试应用程序,自动捕获错误。
@vibe_and_go · X

用并行AI智能体构建全栈应用的开发平台
@Ajathinfotech · X
How do Ajath's parallel agents actually build full-stack apps in mins? Let you work with up to 10 specialized AI agents in parallel to eliminate traditional development bottlenecks. Try Ajath for free: #VibeCoding #NoCode #AIAgents

Vibe Coding Plan用AI驱动的规划,为每个任务推荐最经济的AI模型。
@Hanumliahzhra · X
vibecoding free tier Just discovered Vibe Coding Plan - AI-powered project planning that breaks down ideas into actionable tasks! Check it out

粘贴 GitHub 仓库扫描安全漏洞,自动修复代码问题。
u/Still_Amphibian545 · Reddit
almost launched a side project with my api keys sitting in the repo (a week free gpt 5.6 on us) was about a day from launching a small project when i noticed my openai key was just sitting in a committed file. it had been there for weeks. no idea how i missed it. made me wonder what else was wrong that i couldn't see. turns out for vibecoded stuff it's usually the same handful of things. secrets in the repo, endpoints with no auth, a database with no access rules, no limit on the ex

分享软件创意、发现项目、跟踪贡献者的公开待办事项。
u/ramu9703 · Reddit
I built a public ledger that tracks a software idea from "shower thought" to shipped code hey everyone, I spent my weekend building a public backlog called vibehub (thanks 5.6 sol :) ) the main problem i wanted to solve is that too many good micro-ideas die in notes apps, and too many open-source projects launch without anyone knowing why they were built, who had the original spark, or how they evolved vibehub tracks the entire lineage of a project: - public feed of software briefs

存储提示词和背景信息,通过 MCP 让 Claude Code、Cursor 等 AI 工具共享访问。
@vibexp_io · X
Your plan is now code. Claude Code Dynamic Workflows fan out up to 1,000 subagents, 16 at once, each in its own context, verifying until the results converge. Built for big bug hunts, migrations and audits. Source:

为AI应用提供MCP服务器、REST API和行级安全的后端服务平台。
u/bob__io · Reddit
What we learned from trying to turn vibe-coded prototypes into production SaaS applications Founder here. While developing MCPBackend, we noticed a major difference between generating a convincing application demo and building a maintainable SaaS product. AI coding tools are increasingly capable of generating interfaces, routes and even initial application logic. But a production application still needs: a reliable data model authentication and authorization backend validation

从URL或描述生成SaaS启动视频,60秒内完成AI优化编辑。
@VanillaSkyAI · X
is like Lovable for video. Paste a URL, get a launch video, chat to edit, post 🎬 Here's one I made in minutes 👇

由AI驱动的代码审查工具,在microVM中运行代码来捕获更多错误。
u/dumbfoundded · Reddit
Ito, AI Code Review that Runs Code I've been using AI code review tools but none of them actually run code so I built one: https://www.ito.ai/ The way it works is that it uses microVMs to spin up your environment with all of the services running. Then a bunch of AI agents go and test the application to collect runtime evidence. The result is you get test cases along with evidence about whether or not the test cases pass or fail. The runtime evidence can be videos, request/response curls, db

使用AI设计移动应用界面,导出HTML、设计令牌和代码。
@9to5_Dad · X
Ai mobile app ui designer with taste

从App Store和Google Play评论中提取产品洞察、痛点和竞争机遇。
u/Top-Quarter-4281 · Reddit
I made a product for analysing app reviews and get insights Hi folks! I recently made ParseMyApp , it takes any app and turns its reviews into something usable: top complaints with root causes, what users would riot if you removed, feature requests ranked by impact, and where competing apps could win based on analysed app weaknesses. Bonus: No account needed, free and runs entirely in your browser. How does it work: it pulls up to 500 reviews for iOS (Apple's API cap), and up to 1500

提交AI项目获取人工反馈,或测试他人项目赚取Karma。
@socialhighwy · X
Jellar is a place where builders get structured human review on AI-built and vibe-coded products, and testers earn karma reviewing real projects.