开发者工具3 weeks ago
VibeCop — AI Code Review & Architecture Integrity
VibeCop 审查AI生成代码，检测架构漂移和质量问题。
@Sakthi_in · X
- Ship AI written code confidently. Catch drift before it compounds.
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VibeCop 审查AI生成代码，检测架构漂移和质量问题。
@Sakthi_in · X
- Ship AI written code confidently. Catch drift before it compounds.
VibeLint 为 AI 代理提供代码检查、权限控制和审批工作流。
@RElharrak39428 · X
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
从原始想法生成生产就绪的 Vibe Coding 提示。
@itskalenai · X
stop writing bad prompts. #ai #claudecode #vibecoding
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
Vibe开发者讨论LSP和智能合约代码审查的社交网络
@atenyun · X
Hi everyone! If you're getting into vibe coding and have questions about LSPs or need a hand with reviewing your smart contract, feel free to post on Hup. We're here to help you out! Creator: 0x20e229667Cec8A0e9D3C6Fb89693B2a44ec2C50e via @hupsocial
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 Video — 将图像和文本转化为电影级视频的 AI 生成器。
Vibe Video — 面向普通用户的 AI 视频生成网站，支持文生视频、图生视频、参考图生视频和电影化镜头控制，适合创作者和营销团队快速产出视频
扫描 GitHub 仓库检查生产就绪度、安全性和可扩展性。
@nathanghart · X
Submitting for approval. I built a free tool for anyone about to ship a vibecoded app. It scans your repo for what bites you in prod (leaked keys, no auth, no error handling). I ran it on 1,868 AI-built apps and even caught my own scanner being ~42% wrong.
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
扫描GitHub代码库查找安全漏洞，AI提供修复建议。
u/uwais_ish · Reddit
Three weeks to build an AI security scanner. The scanner was the easy part. Shipped RedFlag this month. Breakdown of where the time actually went, because it was nothing like I estimated. Stack: Next.js 16, Auth.js v5, MongoDB, Stripe, OpenAI. Deployed on Vercel. What I thought would be hard: getting an LLM to find real vulnerabilities. What was actually hard: getting it to stop finding fake ones. First working version flagged 200+ issues on a clean repo. Every one plausible, most of th
