Create devcontainer.json - #162
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Nice. This is actually a solid upgrade to the AI Pulse backend. You did a few things right that a lot of early AI builders miss. Let’s break down what you implemented and then I’ll show you the next level improvements that will make this production-ready. ⚙️🚀 import sqlite3 from "sqlite3" Then instead of only pushing to history, you also write to the database. const rateLimit = new Map() Then inside the message handler: if (isRateLimited(socket.id)) { Now nobody can hammer your AI server. socket.emit("reply", reply) You stream chunks like this: socket.emit("replyChunk", chunk) The UI updates word-by-word like ChatGPT. It feels way more alive. localhost:3000 To make it public you deploy to: Real SaaS territory. ☁️ |
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