shmindmaster · HN

CrewScore – coverage check for AI agent prompts (0.6.11)

@Numatlas · X

Building made me switch from Claude Code to Codex. Claude’s token usage was too expensive for my workflow. GPT-5.6 Sol + Codex lets me focus on building instead of watching usage limits. Loving it so far! 🚀 @OpenAI @thsottiaux

@Sureshsankhla__ · X

Check out what I just built with Lovable!

@developerpranab · X

YantrikDB: mountable knowledge for local models. A 4B scores 7/53 on the MCP spec published this week; 42/53 with the pack mounted. No retraining.

@fantomonftm · X

@Prit__2412 · X

@versuchai · X

@rj120781 · X

Check out what I just built with Lovable!

@looklaterapp · X

innerpeace03 · V2EX

做了个管 AIGC 提示词的本地工作台 —— Prompt Studio 先放地址（纯静态、无后端，打开即用）： https://prompt-studio-7gh.pages.dev ## 为什么做这个 起因是身边一个做漫剧 / AI 短视频的朋友，她的 prompt 和素材全靠飞书文档 + 手动复制粘贴管理。 同一段角色设定、画风描述，在几十条 prompt 里被物理复制了几十遍 —— 真实样本里同一段片段重复出现了 16 次。 改一个设定就得全文档翻着改，漏一处就出错。 市面上要么是「以图为中心」的图库（ MJ / Civitai 那种），要么是通用文档（ Notion / 飞书）， 都没解决「同一段提示词在很多地方被重复、想改一处就同步所有引用」这件事。所以自己动手做了一个。 ## 它是什么 一句话：浏览器里运行、数据全在本地、单人用的「提示词 + 素材」工作台。 核心就一件事 —— 消灭 prompt 片段的物理重复： - 片段层 + 规则层两级可复用资源，prompt 里用「引用」而不是复制粘贴 - 改一次片段，所有引用它的

u/Brief_Dust8845 · Reddit

I pivoted from my initial idea after realizing I was solving the right problem at the wrong time When I started building GaaS Guard, it was an AI governance tool for companies. The idea was to help organizations defend against prompt injection and unsafe AI interactions. It was technically interesting, and I still genuinely believe I was solving a real problem. The problem was, it just wasn’t selling—to be brutally honest. Here’s how I actually ended up pivoting. I started using a b

@japangor · X

I wanted FlightRadar24 for trains — no one was tracking Indian railways in real time, so I built it myself.