ilhamsj

import { jwtDecrypt } from 'jose'
import { hkdf } from '@panva/hkdf'

/**
 * Derive the encryption key the same way NextAuth does
 */
async function getDerivedEncryptionKey(keyMaterial: string | Buffer, salt: string) {
  return await hkdf(
    'sha256',
    keyMaterial,

ilhamsj

Here’s how I’d approach this: think of prompt engineering as building a well-structured pipeline that guides the AI through your product development flow — from PRD to implementation. Right now, you’re imagining:

PRD → Architecture → JTBD → Backend/Frontend Todos

This is a good starting point, but for software teams, there are a few extra layers we should consider to ensure the process produces useful, actionable, and technically consistent outputs.

---

1. Define the End-to-End Flow