debsouryadatta

I used Codex to turn Olloi, my AI native community platform backend, into a clear system architecture and product engineering story. Olloi is not a simple CRUD backend. It is a serverless, multi tenant backend that powers communities with onboarding, roles, events, amenities, issue escalation, social feeds, surveys, marketplace listings, news, notifications, payments, analytics, and AI workflows.

The session went through the full backend design: Hono and TypeScript APIs running on AWS Lambda, Postgres with Drizzle and pgvector, SQS for async jobs, EventBridge for scheduled workflows, S3 and CloudFront for media, Firebase for push notifications, SES for email, Razorpay for subscriptions, Terraform for infra, and role based access for community scoped data.

The most interesting part was the AI layer. We mapped a router agent pattern where one model classifies user intent and specialized tools handle issues, events, amenities, surveys, goals, marketplace, knowledge base, people search, and user profiles. We al

debsouryadatta

---
name: daily-codex-tweet-ideas
description: Create five simple, casual, high-potential X/Twitter post options from today's Codex work. Use when the user wants tweet ideas based on recent Codex sessions, with current trend research, web/social research, one AI-generated image concept, and one sourced web-image option for each tweet.
---

# Daily Codex Tweet Ideas

Turn the user's Codex work from today into five tweet options that feel current, casual, and likely to travel. The tweet topic should mainly come from the actual work done, not from Codex itself unless the agent workflow is the interesting part.

Default output: five options, each with tweet text, why it may work, an AI image prompt, and a searched web-image option.

debsouryadatta

{
  "domain_map": {
    "AI_Agent_Sandboxing": {
      "hard_won": [
        "The term 'Daytona' was confused with 'Datadog' mid-research (a monitoring platform), meaning multiple follow-up queries were needed just to re-anchor on the right tool name. Once resolved, the E2B vs Daytona distinction itself required another round: E2B is API-first and code-execution-centric, while Daytona is full dev-environment sandboxing with SSH and Docker. The answer: Daytona is the right fit for a multi-agent swarm that needs persistent, isolated shell environments — not E2B's execution sandbox model.",
        "Custom DigitalOcean droplet sandboxing was the original SwarmCo 2.0 architecture. Multiple planning sessions were invested in that path before the time-cost was made explicit: Docker + networking + volume security on a DO droplet in a 2-day build consumes approximately one full day of the two available. This was not obvious until the build timeline was stated explicitly, at which point the third-party sandbox route b

debsouryadatta

-- Vyora - Simple Supabase Schema
-- YouTube Channel Analytics & Sponsorship Platform

-- Enable UUID extension
CREATE EXTENSION IF NOT EXISTS "uuid-ossp";

-- ============================================
-- USERS TABLE
-- ============================================
CREATE TABLE users (

debsouryadatta

// Endpoint
uploadRoutes.post(
  "/csv",
  zValidator("form", createDocumentSchema),
  jwtMiddleware,
  async (c) => {
    const fileData = c.req.valid("form");
    const payload = c.get("jwtPayload");
    console.log(payload.id);

debsouryadatta

{
    "data": {
        "epaperChildEditionByIdDate": [
            {
                "id": "19931976",
                "title": "Rajasthan Jaipur City 10-09-2025",
                "edition_date": "2025-09-10",
                "epaper_master_edition": {
                    "id": 4121001,
                    "name": {