morehosseini/AI-Integration-in-Construction-Education

• Repository: https://github.com/morehosseini/AI-Integration-in-Construction-Education
• Commit: c938f6966a2d486b0d486c184c879765d03e28ef
• Generated: 2026-11-14T14:52:06+00:00
• Scorer 0.1.0, scoring prov-5+qual-2+sec-2, report schema v2

Scores

AI provenance

Weak signals consistent with AI-assisted development. Comments and strings use phrasing typical of LLM-written code (see the coding style evidence).

• Explicitly attributed share (lower bound): 0.0%

• Unattributed share in AI-consistent velocity bursts: 100.0%

• Estimated AI-generated share: 0.0%

• Stylometry index: 4.07 per 1,000 lines (narrated steps 0, placeholders 0, assistant phrasing 0, emoji 40). Reported as a signal, not scored.

Evidence

• 4,917 lines of first-party code in ~4.0h (1,229 lines/hour, 1 commit session) (64f80aec4f93)

AI provenance describes how code was produced; it is not a quality judgment. Unless attribution is explicit, these are signals consistent with AI generation, not proof. Squash/rebase workflows, imported code, and rewritten history reduce accuracy.

Code quality

Code quality is poor: test-to-source ratio 0.00, no CI test run detected; 31% of function code in complex or long functions; 3% duplicated lines. Weakest area: testing.

• Functions: 134; mean complexity 5.9, 90th percentile 13; 11 complex and 4 long functions
• Duplicated lines: 2.7% of 3,774 compared
• Tests: 0 test lines for 4,917 source lines (ratio 0.00); CI test commands: none detected; 0% of recent source commits also change tests
• Docs missing or thin: changelog

Most complex functions:

• validate_project in chapters/Chapter_12_Hosseini_AI-Assisted-Programming/code/construction-planning-app/app/core/validation_engine.py: complexity 34, 87 lines
• _clean_narrative_response in chapters/Chapter_12_Hosseini_AI-Assisted-Programming/code/construction-planning-app/app/core/llm_service.py: complexity 28, 53 lines
• _repair_schedule_logic in chapters/Chapter_12_Hosseini_AI-Assisted-Programming/code/construction-planning-app/app/pages/page_04_schedule.py: complexity 27, 50 lines
• _normalise_project_classification in chapters/Chapter_12_Hosseini_AI-Assisted-Programming/code/construction-planning-app/app/core/llm_service.py: complexity 26, 53 lines
• render in chapters/Chapter_12_Hosseini_AI-Assisted-Programming/code/construction-planning-app/app/pages/page_04_schedule.py: complexity 23, 146 lines

Security

Security posture is adequate: 4 known vulnerabilities in 3 dependencies. Weakest area: posture.

• Known vulnerabilities: 4 in 3 packages (critical 0, high 0, medium 4, low 0)

• Posture checks passed: lockfiles; missing: security policy, dependency updates, signed commits

Top findings

Static signals only: the scorer never runs the project's code. Secret findings are pattern matches that were not verified, and secret values are never stored.

Repository profile

• Source lines: 4,917; test lines: 0