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iftrue

iftrue measures AI impact, efficiency, and governance for engineering teams, unifying AI code attribution, DORA metrics, and team health.

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Jul 11 2025

About iftrue

iftrue is an AI governance and engineering intelligence platform that unifies AI code attribution, DORA metrics, and team health into one signal for engineering leaders. It aims to help CTOs and VPs of Engineering make data-driven decisions about AI adoption, delivery velocity, and team well-being within a single platform that tracks signals from AI tools, code, and people.

The platform connects AI adoption signals with delivery and people data, providing a comprehensive view of how AI tooling affects software delivery. It emphasizes measurement across multiple dimensions, blending hard data with qualitative context to support leadership decisions in the AI era.

It focuses on measuring AI adoption, developer experience, and delivery velocity in one view to help teams remove friction and build better software.

Three principles guide its approach: support rather than surveil, pair numbers with sentiment, and ship the boring discipline. These principles shape how metrics are shipped and how teams are guided to improve weekly without adding unnecessary burden.

Use cases

  • CTOs and VPs of Engineering defend AI spend during budget reviews and report AI ROI to the board with data.
  • Platform and DevEx leads spot low-adoption teams and design enablement programs to move AI tools higher in the stack.
  • Engineering managers coach individuals by identifying high-rework AI code and monitoring team health with data-backed 1:1s.

Key features

  • AI Impact: Prove the ROI of every AI coding tool with code-level precision.
  • AI Efficiency Analytics: Analyze how AI tools translate into velocity and where rework erodes gains.
  • AI Governance: Enforce policies, generate AIBOM reports, and map to EU AI Act requirements.
  • Delivery & DORA metrics: End-to-end delivery metrics tied to AI usage.
  • Platform-wide tool-agnostic ingestion: Ingest data from multiple AI tools and code sources into a single dashboard.
  • Integration-ready, no code changes: Plug into existing tools and surface insights without impacting developers.

Pros and cons

Pros

Provides a single signal combining AI tooling, delivery metrics, and team health.
Interfaces with common developer tools and chat, enabling quick access to insights.

Reviews

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Frequently asked questions

What is AI impact measurement?
AI impact measurement is the practice of quantifying how AI coding tools like Copilot, Cursor, and Claude Code affect software delivery outcomes. It spans adoption, efficiency, quality, and cost, and connects AI usage to business results like cycle time and change failure rate.
Does iftrue require access to our source code?
No. iftrue measures AI impact through metadata: PR events, commit metadata, tool admin APIs, and Git logs. We never ingest your codebase.
Which AI coding tools does iftrue support?
GitHub Copilot, Cursor, Claude Code, Sourcegraph Cody, Tabnine, Windsurf, Amazon Q Developer, and JetBrains AI. Custom LLM pipelines are supported via webhook. New enterprise tools are added within 30 days of launch.
How long does implementation take?
Typical setup is 30 minutes for Git and one AI tool. Full multi-tool deployment and baseline data collection takes 7–14 days. Useful insights appear in the first weekly review.
Is iftrue secure and compliant?
GDPR-compliant. Self-hosted deployment is available for financial services, healthcare, and government customers. iftrue never ingests source code.

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