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CLI agents at Microsoft: 24% more merged PRs

+24% is for early active adopters. Who adopts the agents, and how to read the tool gap

/ Research Insights Made Simple · Agent harnesses 15/15 · CLI agents at Microsoft

Slide contents

  1. 1. CLI agents at Microsoft: 24% more merged PRs

    +24% is for early active adopters. Who adopts the agents, and how to read the tool gap

  2. 2. Two studies answer five questions

    Adoption covers Copilot CLI only; outcomes cover both tools

  3. 3. Agents cost millions; output must be measurable

    Per Fortune, quoted in the paper: one Meta user in 30 days, over $1.4M

  4. 4. The window ends before Claude Code's withdrawal

    IDE Copilot had been there for years; the study is about terminal agents

  5. 5. The sample drops everyone with Claude Code

    And anyone who ran Copilot CLI before January 5, 2026

  6. 6. Retention: five of the first fourteen days

    First use is modelled week by week; retention once per adopter

  7. 7. Engineers try more where colleagues already do

    Odds of first use vs. an engineer with no colleague users

  8. 8. Peer influence is not separated from similarity

    Association, not proven influence: similar engineers cluster

  9. 9. IDE Copilot users try more, stay less

    Days of IDE Copilot in the 13 pre-rollout weeks vs. none

  10. 10. Engineers who ship more PRs stay

    Mean weekly PRs before rollout vs. none

  11. 11. Level and tenure barely matter

    Only modest shifts are significant, nearly all in first use

  12. 12. Output: a PR merged within 28 days

    Azure DevOps only, active engineers only, tails beyond P5–P95 trimmed

  13. 13. Ten non-user groups form the control

    CausalImpact estimates what the cohort would have merged without agents

  14. 14. Early adopters merged 24% more PRs

    Week-one cohort, active engineers only; interval +14.5% to +33.7%

  15. 15. The lift held for four months

    February +29.4%, March–April +20.0%: intervals overlap

  16. 16. More agent days, more PRs

    Compared with the engineer's own zero-tool weeks: association, not cause

  17. 17. Copilot CLI: a 2.2× larger lift

    Claude Code +11.4% vs. Copilot CLI +24.9%, single-tool users only

  18. 18. The tool gap is not yet explained

    Two author hypotheses and two caveats on the comparison itself

  19. 19. IC2 and senior managers show larger lifts

    Lift at three days a week; references IC4 (+21%) and 5–15 years' tenure (+22%)

  20. 20. Selection checked; quality and transfer remain open

    One company, early 2026, Azure DevOps only, 16 weeks

  21. 21. Output, time and understanding are different measures

    Microsoft counts PRs, METR task time, Anthropic code understanding

  22. 22. Your rollout needs controls and quality measures

    What to borrow from the paper's design, and what it lacks

  23. 23. Agents move PRs but don't prove value

    First use tracks colleagues

    Heavy coders are the ones who stay

    Early active adopters: +24% PRs, no fade

    The tool gap is still unexplained

    Quality, cost and delivery stay open

    Measure a rollout as an experiment, not a survey