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New research:Dots vs. Muse for Developers

Agent TrendsPreview

Agent-marked pull requests on public GitHub, tracked daily and weekly.

19.8% of public PRs on 2026-10-31 were Claude-marked·21% of sampled PRs were agent-marked (through 2026-10-31)

Latest Week

Claude Code207K1.6M-16%11.5M
Codex39,152334K+3%n/a
Cursor agents15,407128K+11%376K
Julesexact2,23227,021+5%12,548
Copilot agentexact1,41612,966-8%17,545
Devinexact7838,709+5%12,256

Agent-Marked PRs Over Time

Pick a window and scale, and toggle agents on or off.

Complete weeks through Oct 25; daily through Oct 31

Codex is measured from the pull requests its cloud service opens, an estimate; an earlier signal from before November 2025 tells the same story.

Weekday vs Weekend

Across tracked agents, weekend PR volume runs 2.3% below weekdays, so coding agents are mostly a workday tool. The dip is an enterprise-versus-consumer tell: Copilot agent falls 22% on weekends, while Claude Code barely moves.

AgentWeekday / dayWeekend / dayWeekend change
Copilot agent2,6872,096-22%
Devin1,3571,190-12.3%
Cursor agents10,6749,541-10.6%
Codex28,56626,485-7.3%
Jules5,0434,936-2.1%
Claude Code93,70394,576+0.9%

Average per weekday versus per weekend day, 2026-05-11 to 2026-10-31. Daily series, exact counts and estimates included.

Cumulative PRs: All-Time Totals

Who has shipped the most pull requests in total, and whose lead is about to change hands. Cumulative 2025-02-03 to 2026-10-19.

Language Movers

2026-10 vs 2026-08
C+++309%177K PRs/mo
C+292%94,083 PRs/mo
Scala+254%7,457 PRs/mo
Rust+247%703K PRs/mo
Objective-C+215%2,321 PRs/mo
Kotlin+212%125K PRs/mo

More movers and the full language breakdown on Segments.

Method

Daily points come from one measurement pass per public attribution class per day (created: single-day windows); weekly and monthly points over wider windows. Agents visible through their own bot or workflow (Copilot, Jules, Devin) are exact; agents measured through declared attribution (Claude Code, Cursor, Codex) are estimates that stabilize at daily granularity. Measurement classes are described on the methodology page.