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Draft:Code velocity

From Wikipedia, the free encyclopedia

"Code Velocity" is the label given to describe the rate at which Software code is written. Most often.[1], it is expressed as one of the conventional git metrics provided by Github:

  1. Commit Count[2]
  2. Pull Request Count[3]
  3. Lines of Code Changed[4]

Other metrics frequently used to approximate Code Velocity are Story Points[5] and Deployment Frequency[6]

Interest in the benchmarks that define Code Velocity has increased alongside the rise of effective coding agents. Google's 2025 DORA report found that "90% of software development professionals are now using AI at work." As AI writes more software, researchers have begun efforts to quantify "how does Code Velocity change with increased AI use?"

One such analysis looked at GitHub.com, finding that Code Velocity, as measured by monthly commit volume, had more than doubled between April 2026 and August 2026. Another study, from Shakil, Braband, and Denny, found that "Commit frequency also increases. The median number of commits per active day rises from 3.3 in 2021 to 5.4 in 2025[7]."

References

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  1. ↑ Noda, Abi (2021-03-30). "The 'flawed five' engineering productivity metrics". LeadDev. Retrieved 2026-11-10.
  2. ↑ Forsgren, Nicole; Storey, Margaret-Anne; Maddila, Chandra; Zimmermann, Thomas; Houck, Brian; Butler, Jenna (2021-02-28). "The SPACE of Developer Productivity". Queue. 19 (1): 20–48. doi:10.1145/3454122.3454124. ISSN 1542-7730.
  3. ↑ Forsgren, Nicole; Storey, Margaret-Anne; Maddila, Chandra; Zimmermann, Thomas; Houck, Brian; Butler, Jenna (2021-02-28). "The SPACE of Developer Productivity". Queue. 19 (1): 20–48. doi:10.1145/3454122.3454124. ISSN 1542-7730.
  4. ↑ Noda, Abi (2021-03-30). "The 'flawed five' engineering productivity metrics". LeadDev. Retrieved 2026-11-10.
  5. ↑ ForouzeshNejad, Ali Akbar; Anwar, Aamir; Allinson, Mark E.; Williams, Nigel L. (2026-12-01). "Rethinking agile metrics: Story points, flow, and operational reliability in a fintech teaching case". Journal of Systems and Software. 242: 113019. doi:10.1016/j.jss.2026.113019. ISSN 0164-1212.{{cite journal}}: CS1 maint: article number as page number (link)
  6. ↑ "Use Four Keys metrics like change failure rate to measure your DevOps performance". Google Cloud Blog. Retrieved 2026-11-10.
  7. ↑ "Code, Commits, and Complexity in the GenAI Era: A Longitudinal Study of Team-Based Capstone Projects". arxiv.org. Retrieved 2026-11-10.