- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
A sample app for the Retrieval-Augmented Generation pattern running in Azure, using Azure AI Search for retrieval and Azure OpenAI large language models to power ChatGPT-style and Q&A experiences.
01Result
Azure-Samples/azure-search-openai-demo ↗Azure-Samples/azure-search-openai-demo AI coding statistics: 43.1%
A small group is using agents. Adoption has spread beyond one person but is not project-wide.
02Drivers
What shapes this result
Mode, timing, and detected signatures show whether the result reflects broad adoption or one concentrated workflow.
Assisted or autonomous
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
| Month | Agent share | Considered commits |
|---|---|---|
| 2026-02 | 66.7% | 9 |
| 2026-03 | 33.3% | 3 |
| 2026-04 | 20% | 5 |
| 2026-05 | 50% | 4 |
| 2026-06 | 54.5% | 11 |
| 2026-07 | 31.6% | 19 |
Peak month: 66.7%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| GitHub Copilot | GitHub | 22 | 43.1% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
a14f1edbon GitHubDefault agentic retrieval reasoning effort to minimal (#3167)GitHub Copilotc7e6ca02on GitHubFix azd target environment loading in hooks (#3161)GitHub Copilot138ad3ffon GitHubMigrate to Microsoft Foundry account + project (resolves #3084) (#3158)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 window | 123 |
| Merge commits removed | −0 |
| CI / dependency bots removed | −72 |
| Considered | 51 |
Bots are excluded from the denominator entirely. Agent attribution requires a literal supported signature; no code-style inference is used.
Continue exploring
Related coding-agent evidence
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 Azure-Samples/azure-search-openai-demo