Pulse
2026-09-18-v3.0
Dataset
2026-10-27-catalog-ai-v2
Ruleset
b2e8889c66f7
Scanned
2026-10-27
Window
February–September 15, 2026
Catalog tracking observation. This repository is measured with the same fixed window and ruleset, but it is not part of the published benchmark or its aggregate claims.

Amazon Bedrock Agentcore accelerates AI agents into production with the scale, reliability, and security, critical to real-world deployment.

01Result

awslabs/agentcore-samples ↗

awslabs/agentcore-samples AI coding statistics: 8.1%

of 298 commits in February–September 15, 2026 were committed by an AI agent — a floor, not an estimate
8.1% agent · top contributor 16.7%15 contributors
org-wide

Adoption is broad. Many contributors are committing agent-authored work, which is what a real organisational rollout looks like.

24
agent commits
274
other considered commits
15
agent contributors
16.7%
largest contributor

02Drivers

What shapes this result

Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.

Assisted or autonomous

24assisted
0autonomous

Assisted — a developer’s identity authored the commit and the agent added itself as co-author. Autonomous — a bot identity authored the commit without a human identity attached.

Agent share by month

Agent-attributed commit share by month
MonthAgent shareConsidered commits
2026-026.3%32
2026-031.7%60
2026-048.5%47
2026-053%33
2026-0614.7%34
2026-0710.7%28
2026-0814.5%55
2026-090%9

Peak month: 14.7%. Bars are scaled to that peak, not to 100%.

Which agents

AgentVendorCommitsShare
Claude CodeAnthropic186%
GitHub CopilotGitHub93%

03Evidence

Inspect the matches

Public commit samples let you inspect the signatures behind the aggregate result.

Matched commit samples

  • 19bba049 on GitHubfeat(memory): add json payload types (#1994)Claude Code
  • 3220d74c on GitHubdocs: fix broken links in 02-use-cases README (#1960)Claude Code
  • 76e23273 on GitHubdocs(gateway): append /mcp to gateway URL capture commands and fix typo (#Claude Code
  • 69fb6dd6 on GitHubEnhance event-driven-claims-agent: cost routing, deterministic execution, GitHub Copilot
  • 97e89df7 on GitHubfeat(it-incident-response-agent): production-ready IT incident response agGitHub Copilot
  • 49bcbada on GitHubfeat(usecases): Event-Driven Claims Processing Agent (#1719)GitHub Copilot

04Method

What entered the denominator

The result begins with commit history, removes merges and routine automation, and reports literal agent signatures as a lower bound.

Exclusion ledger

Commits in window299
Merge commits removed−0
CI / dependency bots removed−1
Considered298

Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.

Continue exploring

Claude Code commitsBrowse repositories with detected Claude Code signatures →GitHub Copilot commitsBrowse repositories with detected GitHub Copilot signatures →Python AI coding statisticsCompare evidence across Python repositories →GitHub AI commit analyzerInspect another repository with the same evidence model →
Reproduce this observation

Run the same detector locally.

Deterministic signature matching; no code-style inference. Squash merges can remove trailers, so this result remains a measured floor.

npx qmmit-cli awslabs/agentcore-samples

Scan another repository

Try