Guide

How do I know what features my AI-generated app is missing?

You cannot see missing features by scrolling code alone. You need a structured product model, then a deliberate gap check against what similar products include.

Code shows presence, not absence

Repositories answer “what exists.” They rarely answer “what should exist for this kind of product.” AI-generated apps are especially sparse in auth, billing, admin, edge cases, and post-purchase or post-onboarding flows.

Use structure + benchmarks

In Kriyastream, a Product Map organizes features under domains and jobs. Product map score and priority improvements highlight structural gaps. Industry context on curated maps shows where similar products invest.

Browse public Product Maps for products like yours — e-commerce, CMS, admin templates — to compare coverage, then map your own codebase and run the same lens.

  • List domains you expect for the category
  • Mark features present, partial, or missing
  • Prioritize high-impact gaps before cosmetic polish

How to do it

  1. 1Open a comparable Product Map in the public directory for your category.
  2. 2Generate or import a Product Map for your own app from code.
  3. 3Review score, gaps, and priority improvements on your map.
  4. 4Turn priority gaps into work packages with Project Intelligence.

FAQ

Can an LLM just list missing features?

It can brainstorm, but without a durable Product Map the list is not grounded in your code or comparable structure. Agents do better when gaps are computed against a shared product model.

Where do I see example maps?

The Product Maps directory at /product-maps lists curated maps from real open-source products, including commerce, CMS, and developer tools.