Vintage Poster Gallery

F 45 completed
Other
web_app / typescript · small
191
Files
46,009
LOC
2
Frameworks
6
Languages

Pipeline State

completed
Run ID
#391669
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
36.80
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #47278
Member of a group with 1 similar repo(s) — canonical #118362 view group →
Top concepts (2)
Project DescriptionWeb Frontend
About: code-quality intelligence by Repobility · https://repobility.com

AI Prompt

Create an intelligent web application for analyzing vintage posters. I need it built using Next.js 14+, TypeScript, and Tailwind CSS. The core functionality must allow users to upload poster images for AI-powered analysis using Claude AI, which should provide details on artist identification, historical context, printing techniques, rarity, and market insights. Additionally, I need features to validate existing poster information, store images in Vercel Blob Storage, and use a PostgreSQL database for results. The application should also support password-protected access for a small team and allow users to export reports as PDF and JSON.
typescript next.js react tailwind ai image-analysis postgres web-app claude vercel
Generated by gemma4:latest

Catalog Information

An intelligent web application for Authentic Vintage Posters that uses Claude AI to analyze and research vintage posters, providing detailed historical, technical, and valuation information.

Description

An intelligent web application for Authentic Vintage Posters that uses Claude AI to analyze and research vintage posters, providing detailed historical, technical, and valuation information.

Novelty

3/10

Tags

typescript next.js react tailwind ai image-analysis postgres web-app claude vercel

Technologies

anthropic nextjs react tailwind

Claude Models

claude-opus-4-6

Quality Score

F
45.0/100
Structure
39
Code Quality
57
Documentation
52
Testing
0
Practices
59
Security
65
Dependencies
60

Strengths

  • Code linting configured (eslint)

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 8 files with critical complexity need refactoring
  • Potential hardcoded secrets in 1 files
  • 9143 duplicate lines detected \u2014 consider DRY refactoring
  • 20 'god files' with >500 LOC need decomposition

Recommendations

  • Add a test suite \u2014 start with critical path integration tests
  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a LICENSE file (MIT recommended for open source)
  • Move hardcoded secrets to environment variables or a secrets manager
  • Address 25 TODO/FIXME items \u2014 consider tracking them as issues

Security & Health

25.3h
Tech Debt (B)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (13)
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/
Unknown
License
16.6%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

typescript
82.0%
json
15.6%
markdown
1.3%
sql
1.0%
css
0.1%
javascript
0.0%

Frameworks

React Next.js

Concepts (2)

Repobility · code-quality intelligence · https://repobility.com
CategoryNameDescriptionConfidence
All rows scored by the Repobility analyzer (https://repobility.com)
auto_descriptionProject DescriptionAn intelligent web application for Authentic Vintage Posters that uses Claude AI to analyze and research vintage posters, providing detailed historical, technical, and valuation information.80%
auto_categoryWeb Frontendweb-frontend70%

Quality Timeline

1 quality score recorded.

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