@VeganVegan75738 · X

做了一个免费的 JSON 格式化工具。 支持： ✅ JSON 格式化 ✅ JSON 校验 ✅ 在线使用 ✅ 无需安装，数据不上传 开发者日常调试 JSON 可以直接用： #开发者 #前端开发 #工具

@bhushankuma491 · X

@SupportFixzi · X

Building an API monitoring tools which allows you to know when your AI breaks, before your users do. It has an API monitoring tool and an AI schema validator in it. This is a solution that can ensure your customers trust your app.

@kitbasedev · X

We just launched, check us out at

@WebWrightAI · X

@im_pradee_p · X

Backend as a service

@jitendraballa · X

@NateDenisal · X

Working on a competitor intelligence platform,

AI Codereview for Gitlab — 基于大模型(DeepSeek,OpenAI等)的 GitLab 自动代码审查工具；支持钉钉/企业微信/飞书推送消息和生成日报；支持Docker部署；可视化 Dashboard - [查看仓库](https://github.com/sunmh207/AI-Codereview-Gitlab)

u/Prestige_pvp · Reddit

Simple AI Token Profiler / Debugger We made a simple profiler to help optimize AI token spend. Generally speaking anytime you want to optimize your app, whether it's for memory or otherwise you typically start with a profiler. There are a ton of MiTM Gateways but there aren't many true profilers, so I thought I'd make one. https://profiler.getrekon.com/ Let me know what you think :) submitted by /u/Prestige_pvp to r/SideProject [link] [comments]

@to_excel71850 · X

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