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April 16, 2026

From AI-Native Development to AI-Native Measurement

Why developer productivity becomes the key to evaluating process changes

/ AI-native Measurement 2026

Slide contents

  1. 1. From AI-Native Development to AI-Native Measurement

    Why developer productivity becomes the key to evaluating process changes

  2. 2. What This Article Is About

    Measurement stack for transition

    Part 1: local acceleration misleads.

    Part 2: Google research lessons.

    Part 3: no magic metric.

    Parts 4-6: measurement layer.

  3. 3. 01. No Measurement, Only Local Optimization

    Coding speed ≠ delivery improvement

  4. 4. AI-Native Needs Developer Productivity

  5. 5. DORA 2024–2025: AI Adoption ≠ Delivery Improvement

  6. 6. Narrow Metrics: Convenient but Dangerous

  7. 7. 02. Developer Productivity for Humans

    Google Research series — the best framework for evaluating development process changes

  8. 8. Productivity ≠ Conveyor Belt

    Development is complex creative work

    Measuring people: technology + sociology.

    Taylorism fails for knowledge work.

    AI removes routine, leaves risk.

    The human part gets harder.

  9. 9. Measure Developer Goals, Not Tools

  10. 10. Every Data Source Lies Differently

  11. 11. Speed, Ease, Quality and Trust

  12. 12. 03. No Single 'Magic' Metric

    All models are wrong, but some are useful

  13. 13. Measuring Productivity = Building a Model

  14. 14. 04. Measurement Layer for SE 2.0

    Measure effect, not tool adoption

  15. 15. Unit of Analysis: Process Change

  16. 16. Five Principles of the Measurement Layer

  17. 17. Longitudinal Measurement and Trust

  18. 18. 05. What to Measure in Practice

    Four feedback loops for a large company

  19. 19. Four Measurement Loops

  20. 20. 06. Conclusions for a Large Company

    Measurement layer — the mechanism for transferring practices from frontier to core

  21. 21. Without Measurement Frontier Becomes Case Theater

    Transfer proven impact

    Frontier shines: PRs, code, docs.

    Core misses what improves delivery.

    Separate stability damage from noise.

    Measurement turns frontier into capabilities.

  22. 22. AI-Native Without Measurement: Open Loop

  23. 23. References and Materials

    Developer productivity and delivery outcomes

    DORA AI research: dora.dev/research/

    SPACE framework: queue.acm.org/detail.cfm?id=3454124

    DX Core 4: getdx.com/research

    Google Engineering Productivity + Accelerate.

  24. 24. Thank You!

    AI-Native Measurement

    For more materials on this topic, visit the "Book Cube" channel — all links are collected there

    Alexander Polomodov, Technical Director & Fellow, T-Technologies

    @Book_Cube