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🔥 Anionex / banana-slides - 一个基于nano banana pro🍌的原生AI PPT生成应用，迈向＂Vibe PPT＂; 支持上传任意模板图片，上

GitHub热门项目 | 一个基于nano banana pro🍌的原生AI PPT生成应用，迈向＂Vibe PPT＂; 支持上传任意模板图片，上传任意素材&智能解析，一句话/大纲/页面描述自动生成PPT，口头修改指定区域、一键导出可编辑ppt - An AI-native slides generator based on nano banana pro🍌 | Stars: 15,301 | 72 stars today | 语言: TypeScript

2026-07-25 原文 →
AI 资讯

Como crear Roles de Usuarios RBAC Plano PHP MySQL

Guía crear Roles de Usuario usando RBAC Plano con PHP MySQL Agustin RamosJul 24, 2026PHP Stuffs El control de acceso basado en roles (RBAC) es utilizado en la mayoría de los sistemas para definir qué puede hacer cada usuario. En su versión más simple, conocida como RBAC plano, no es necesaria una tabla de permisos: cada usuario tiene un único rol, representado por un número, y ese número es el que determina qué se le permite hacer dentro del sistema. En esta guía es construido un módulo de RBAC plano completo, con base de datos, conexión, lógica de validación y ejemplos de uso, usando solo PHP y MySQL. Si necesitas repasar los fundamentos antes de continuar, puedes consultar nuestra guía de PHP y MySQL. Qué es el RBAC plano En este modelo, cada rol es representado por un ID numérico. La regla que se sigue en esta guía es simple: entre más bajo el número, mayor es el nivel de acceso. 1 = admin (mayor nivel de acceso) 2 = subadmin 3 = encargado 4 = empleado (menor nivel de acceso) Con esta lógica, validar “solo administradores o superiores” se reduce a una simple comparación: role_id <= 2. Base de datos Son necesarias únicamente dos tablas: rol y user. La columna role_id, dentro de user, es la que define el nivel de acceso de cada persona. Todo este bloque está guardado en el archivo schema.sql. Cómo ejecutarlo: copia todo el bloque de código y pégalo directamente en tu consola de MySQL (o en phpMyAdmin / MySQL Workbench). Esto crea la base de datos rbac_plano, sus tablas y los datos de ejemplo automáticamente. -- schema.sql CREATE DATABASE rbac_plano; USE rbac_plano; -- Tabla rol. -- El ID es usado como nivel: entre más bajo, más privilegios. CREATE TABLE rol ( id TINYINT UNSIGNED PRIMARY KEY, name VARCHAR(50) NOT NULL UNIQUE ); -- Se insertan los 4 roles base del sistema. INSERT INTO rol (id, name) VALUES (1, 'admin'), (2, 'subadmin'), (3, 'encargado'), (4, 'empleado'); -- Tabla user. -- Cada usuario tiene un único role_id (no hay tabla de permisos). CREATE TABLE us

2026-07-25 原文 →
AI 资讯

Swagger docs from your existing TypeScript types — no framework required

The problem Recently I was looking for an npm package to generate OpenAPI (Swagger) documentation for my existing TypeScript project. My biggest requirement was TypeScript type-to-schema conversion: I already have all my request and response types, so why should I maintain the same schemas again in OpenAPI? Zod support would be a nice bonus. After trying most of the existing solutions, I found they generally fall into two categories: 1. Runtime frameworks The most popular example is tsoa . Honestly, tsoa is one of the best OpenAPI generators available today: it understands TypeScript well, generates schemas automatically and detects status codes. There are also contract-first libraries like ts-rest , Zodios and express-zod-api . However, none of these solutions are agnostic when it comes to how you write your code — they all dictate the shape of your routes. 2. Manual generators The best-known example is swagger-jsdoc. You write raw OpenAPI next to your code in JSDoc comments: /** * @openapi * /users: * post: * ... */ swagger-jsdoc is simple and framework-agnostic, but it's too verbose and knows nothing about your types. Then I found a similar tool that solved the verbosity problem: @visulima/jsdoc-open-api . It parses much more readable JSDoc tags: /** * POST /users * @summary Creates a new user. * @tags Users * @bodyContent {User} application/json - User object to create. * @bodyRequired * @response 201 - User created successfully. * @responseContent {User} 201.application/json - The created user object. */ But it still doesn't care about your types. User here is just the name of a component you have to define elsewhere in your document. Why not parse the actual types at generation time? That question inspired me to create Autoswag . The solution - Autoswag Describe your routes with readable JSDoc, and let the generator convert your TS types along the way. It doesn't affect your runtime code in any way, works with any framework, and even with vanilla JS. This is w

2026-07-25 原文 →
AI 资讯

Has an API ever silently changed its response shape and broken your app before you noticed?

I keep running into (and hearing about) a specific kind of bug that never throws an error — an API you depend on quietly changes its response shape. A field disappears. A number becomes a string. Something that was always present is suddenly null. Nothing crashes immediately. It just produces wrong or missing data somewhere downstream, and you find out from a bug report, not a log. I'm curious how common this actually is outside my own experience, so — genuine question, not a pitch: Has this happened to you, with a third-party API or even an internal one your own team owns? How did you find out it happened — a user report, a stack trace somewhere unrelated, manual debugging? Do you currently do anything to catch this kind of thing before it bites you (contract tests, monitoring, or just... hoping)? If you don't do anything about it today, is that because it's not painful enough to bother, or because you just haven't found a lightweight way to? Not selling anything here, just trying to understand how real and how painful this actually is for people building on top of APIs day to day. Would genuinely appreciate hearing your experience, even a one-line "yeah this happened to me once, wasn't a big deal" is useful data.

2026-07-25 原文 →
AI 资讯

How I compile React-shaped TSX without React or hydration

I started building Kudzu while making static websites with AI. AI coding tools have become very good at producing React-shaped TSX, and I have become used to reviewing code in that form. Function components, props, JSX, and event handlers are often easier for me to understand and verify than scattered DOM queries and imperative JavaScript mutations. But I was still building static pages. I wanted to keep TSX as the authoring and code-review format without automatically shipping React, a virtual DOM, hydration, or a browser-side component tree. Kudzu grew from that idea: Write familiar TSX, execute components during the build, and ship ordinary HTML with only the JavaScript each route actually needs. Kudzu is an experimental, HTML-first TSX framework. Website: kudzujs.cloud GitHub: github.com/kudzujs/kudzu The problem I wanted to solve Consider a blog, documentation site, newsletter, or product landing page. Most of the page is already known during the build: headings; navigation; articles; images; metadata; product descriptions; documentation content. TSX is a convenient way to author and review that structure. function PostCard ({ title , description , href }: { title : string description : string href : string }) { return ( < article > < h2 >< a href = { href } > { title } </ a ></ h2 > < p > { description } </ p > </ article > ) } The component model is useful for authoring, but that does not necessarily mean the browser needs a component runtime. For a static page, I wanted the output to remain ordinary HTML. <article> <h2><a href= "/posts/hello" > Hello </a></h2> <p> My first article. </p> </article> I also wanted interactive pages to receive only the JavaScript required for their actual behavior. Kudzu's model Kudzu treats components as build-time authoring units. React-shaped TSX ↓ Kudzu compiler ↓ Static HTML + CSS + capability-specific ESM Function components execute during the build. The browser does not receive: the component functions; React; a virtual D

2026-07-25 原文 →
AI 资讯

Subscription Goldmine: SaaS Models and Startup Cash Flow

Subscription Goldmine: SaaS Models and Startup Cash Flow Here's the brutal truth: nothing brings a tech solopreneur closer to existential dread than staring down a dried-up cash runway in the office at midnight. This concern is universal for founders, whether you're nestled in a cozy Davao home office or grinding away in a bustling city. The rise of subscription-based Software as a Service (SaaS) models is shifting this narrative, offering both solutions and new challenges. The stakes are high, but so are the potential rewards. The Core Problem & Why This Matters Startups live and die by their cash flow. Managing liquidity is crucial for keeping the lights on and securing future growth. Traditional software sales were typically characterized by large, one-time purchases. This model, while sometimes lucrative, posed significant challenges for startups that needed a steady influx of cash. The subscription model flips this on its head by transforming how revenue is recognized, providing a more predictable income stream. The consistent monthly inflows from subscriptions give startups the cushion they need to weather the ups and downs of growth periods. But here's the catch: converting users into paying subscribers isn’t a cakewalk. It requires upfront investments in product development, marketing, and customer support. Yet, this model becomes a vital lifeline, especially when venture capital isn't an option. Subscription models necessitate long-term engagement strategies, but they offer a recurring revenue stream that can stabilize an otherwise volatile cash flow. The Systems Engineering Approach Developing a subscription-based SaaS model requires a meticulous systems approach. The first step involves designing a seamless user experience . Every touchpoint must be optimized to retain users and convert trial customers into paid subscribers. From initial sign-up to daily usage, every feature should scream value. Next, focus on robust backend systems. These systems are the

2026-07-25 原文 →
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