Code Intelligence

Connect Product Intent to Code

Understand what has actually been implemented — link features to repositories, pull requests, and commits.

  • Measure implementation coverage against the Product Graph
  • Spot missing functionality before customers do
  • Keep coding agents aligned to product intent

Code exists. Product clarity often doesn't.

After vibe coding or rapid delivery, teams struggle to answer a basic question: which product intent is actually in the codebase?

  • Features live in tickets, not mapped to repos
  • PRs move fast without product-level coverage signals
  • Maturity scores lack implementation evidence
  • Agents generate code without durable product grounding

Code Intelligence

Understand What Has Been Implemented

Connect product intent directly to source code.

Product-to-Code Mapping

How it connects

  1. 1

    Feature

  2. 2

    Repository

  3. 3

    Pull Request

  4. 4

    Commit

Feature implementation status in Kriyastream project summary

What Code Intelligence unlocks

Outcomes

  • 1Connect features to repositories
  • 2Track product implementation through PRs and commits
  • 3Measure coverage and product-code alignment
  • 4Identify missing functionality
  • 5Improve product understanding from real code
  • 6Guide coding agents with structured product context

Built for

  • Vibe coders who need to know what their AI build actually covers
  • Engineering leads aligning code to product outcomes
  • Product managers validating delivery claims
  • Teams running coding agents through MCP with shared context

Prove what the product has become

Join the waitlist to get early access to Kriyastream.