- Dataset
- 2026-10-27-catalog-ai-v2
- Ruleset
- b2e8889c66f7
- Scanned
- 2026-10-27
- Window
- February–September 15, 2026
SecScan Ai is a ready-to-deploy, cloud-first AI platform that helps corporate security teams run penetration tests. It brings together modern AI and ML, a microservices stack, and full security toolkits to produce enterprise-level cybersecurity evaluations.
01Result
najafdev/secscan_ai ↗najafdev/secscan_ai AI coding statistics: 16.7%
One person is driving this. The headline number reflects a single contributor's workflow, not a project-wide shift.
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 | 0% | 1 |
| 2026-07 | 19% | 21 |
| 2026-08 | 0% | 2 |
Peak month: 19%. Bars are scaled to that peak, not to 100%.
Which agents
| Agent | Vendor | Commits | Share |
|---|---|---|---|
| Cursor Agent | Anysphere | 3 | 12.5% |
| Claude Code | Anthropic | 1 | 4.2% |
03Evidence
Inspect the matches
Public commit samples let you inspect the signatures behind the aggregate result.
Matched commit samples
86689b04on GitHubci: wire pytest suite into CI and enterprise workflowsCursor Agente3d3b354on GitHubdocs: add AGENTS.md repository guidelinesCursor Agent727dc4e3on GitHubfeat: add test suite, infra configs, and harden security defaultsCursor Agentff7ee522on GitHubfix: harden pipeline parsing, require Grafana password, add Prometheus metClaude Code
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 | 27 |
| Merge commits removed | −3 |
| CI / dependency bots removed | −0 |
| Considered | 24 |
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 najafdev/secscan_ai