
EdgeX11 — Build Your Digital Engineering Workforce
AI驱动的工程团队,规划、构建、测试和发布代码,具有人类监督。
@edgex11lz · X
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AI驱动的工程团队,规划、构建、测试和发布代码,具有人类监督。
@edgex11lz · X

Ship faster with AI, and know the work is actually done. ShipSure checks every change your coding agent makes against your tests, your build, your types, your scope and your rules
@Webappers_ofc · X

用英文描述想法,QuikRun自动生成代码并提供实时URL。
nparashar150 · HN
Over the weekends, I've been revamping an old side project of mine: https://quik.run/?ref=yc It started as a simple platform for writing and sharing code snippets. Over time, it evolved into a way to run snippets instantly with support for imports and packages, without worrying about setup, deployment, or infrastructure. Think of it as a lightweight AWS Lambda for quick experiments. One thing I've realized is that even though AI has made a lot of older developer tools and ideas feel less relevan

用于与编码代理协作进行规划和原型设计的本地笔记本。
narwhster · HN
A notebook for prototyping with your agent

从产品需求文档和技术规范生成生产就绪的代码。
@codalioinc · X
The vibe-coding loop: "fix it" × 7, 512K tokens, still not shipped. The Codalio loop: PRD → build → deploy. Need a change? Edit the PRD. +1,900 tokens. Stop paying tokens to discover your own requirements.

将创意转化为包含规格、工具和招聘建议的可构建计划。
@moksy_ai · X
That 10% is specs. Knowing your edge cases, user flows, and what ‘done’ actually means before you write a line. Vibe coding with a clear spec produces real products. Without one, you're just building a very fast demo. Moksy handles the spec. Free.

使用 AI 快速创建带有响应规则和变量的模拟 API,用于开发测试。
u/Not_Imagine · Reddit
I built a tool to instantly generate mock APIs instantly with AI Hi everyone, We all run into the same frustrating bottleneck on projects: the UI is ready to go, but the backend API isn’t finished yet and we need to resort to hardcoding mock data. This, however cannot reproduce edge cases like rate-limiting, network latency, or 500 errors. To solve this, I built SynthAPI https://getsynthapi.com/ It's a developer tool that lets you generate live mock API endpoints in se

浏览经过测试的AI提示词目录,快速构建认证、支付等应用组件。
@mannam_11 · X

AIWA is your AI product team: plan, architect, build, test, ship and evolve real full-stack apps. Describe it. Watch it build. Ship it.
@aiwadotcodes · X

与团队和AI代理在一个工作空间中构建、验证和发布软件。
u/OGMYT · Reddit
Validating a micro-SaaS for checking AI-built software before it ships I am building **Flows**, a system that turns an AI software goal into ordered implementation steps, checks, repair prompts, and a build report. The business thesis is not “better prompts.” It is reducing the cost of getting from an AI-generated first draft to a checked, shippable result. Metrics I want to measure: - prompts per completed project - tokens or credits per checked step - first-pass check rate - repair atte

用AI代理自动部署您的代码仓库到生产环境。
salsta1 · HN
Nexlayer – Paste a repo. The agent analyzes, builds and deploys it

SpecKit 根据项目描述自动生成完整的技术规格、架构和开发路线图。
@satulipa_ · X
My workflow: 1. Open Speckit → answer 5 questions 2. Get blueprint (PRD, DB, API, roadmap) 3. Take it to Cursor/Claude Code 4. Vibe code with actual direction Built with Next.js, Vercel, try it on