开发者工具3 weeks ago
testmagic.link — let your coding agent test magic-link sign-in
用一次性邮箱测试 magic-link 登录，无需账户。
lobovkin · HN
testmagic.link – Zero-setup magic link testing for coding agents
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用一次性邮箱测试 magic-link 登录，无需账户。
lobovkin · HN
testmagic.link – Zero-setup magic link testing for coding agents
Give AI agents YouTube answers they can cite. Search, ask, and verify claims with source quotes and exact timestamps via REST API or MCP.
@JanGrafX · X
通过 Python SDK、CLI 或 MCP 草稿、发布和排期 Substack 文章，无需浏览器。
bigmuzzy · HN
The Posting Substack API
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
一个提供认证、存储和LLM集成的Backend平台，无需服务器或配置。
ent101 · HN
The Safe, Production-Ready Backend for AI-Generated Apps
为Shopify店铺生成AI商品效果图、海报和挂画。
@ebuka_buddy · X
Check out what I just built with Lovable! Turn your Shopify product ideas into stunning, professional mockups in minutes with AI. No design skills, no complicated tools—just create, customize, and showcase products that are ready to impress and sell.
检测API中转站输出是否与官方100%一致
@nodeloc_cc · X
🌈 7月，你好，MODELOC上线算力池。 MODELOC自上线以来，已检测2000余次，覆盖600+中转站，为众多AI用户提供的使用参考。 MODELOC近期进行了改版，上线了算力池及市场。 加入算力池 查看帖子： 用 MODELOC 便宜地调各家大模型：一次讲清它的价格体系
按需进行来源支撑的研究，生成定期报告或通过API集成。
@Robhay3s · X
从代码问题自动生成并测试拉取请求。
@jakemoshel · X
Turn issues into sandbox tested PR’s from your current stack
Free mock deposition simulator for personal injury chiropractors. Answer opposing counsel out loud and get scored against the defensible standard.
@chirosystems · X
Let me try mine: My Rough draft: The chirosystems mock deposition simulator put personal injury chiropractor’s defensible documentation skills to the test. With help from 🤖: The ChiroSystems Mock Deposition Simulator tests personal injury chiropractors on their ability to create bulletproof, defensible documentation.
与AI渗透测试代理聊天扫描Web应用和API的安全漏洞。
@SableOffensive · X
Building Sable. An AaaS where specialized AI security agents perform penetration testing for web apps and APIs, helping teams find vulnerabilities before they reach production.
为技术文档创建 AI 助手，立即回答用户问题。
@emilsnotes · X
Our customers using Claude Code move faster than we can ship features. So we stopped fighting it and leaned in. Here's why it's paying off: 👇️ Some context: powers AI agents that answer millions of technical questions per month. Those conversations are a goldmine - they tell you exactly what users struggle with and where your docs fall short. We've built a lot of analytics on top of this (Coverage Gaps, Top Questions, and more), and teams love them. But here's the honest truth: no dashboard covers every edge case for every company. Meanwhile, our sharpest customers were already exporting kapa data and throwing their coding agents at it in ways we never designed for. So instead of chasing every workflow with a UI, we took the best practices we've seen actually work and packaged them as Kapa Skills - installable in Claude Code, Cursor, or Codex: 1/ Analyze Coverage Gaps: your agent works through the topics kapa couldn't answer and writes the missing content straig