Switchup Contract Processing

C+ 76 completed
Ai Ml
containerized / json · small
102
Files
14,956
LOC
3
Frameworks
5
Languages

Pipeline State

completed
Run ID
#305523
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
83.47
Framework unique
Isolation
Last stage change
2026-05-10 03:34:14
Deduplication group #64399
Member of a group with 1 similar repo(s) — this repo is canonical view group →
Top concepts (12)
RepositoryProject DescriptionMiddleware/PipelineWeb BackendLayered Architectureapibusiness_logicdata_accessinfrastructuretestingConfigurationDatabase
Source: Repobility analyzer · https://repobility.com

AI Prompt

Create an AI-powered contract processing system that can handle multiple industries. The system should support ingesting PDFs, extracting structured data using an LLM, and validating the extracted information against provider-specific rules. I need a workflow orchestration layer, an Express service for the API, and a database layer using Drizzle ORM. The process must include a human-in-the-loop review step for low-confidence extractions. Please structure the project to be provider-agnostic and use TypeScript.
typescript express drizzle ai workflow contract-processing llm api docker
Generated by gemma4:latest

Catalog Information

This project is an AI-powered contract processing system designed to support multiple industries.

Description

The switchup-contract-processing system leverages artificial intelligence to streamline contract management across various sectors. It provides a robust and efficient solution for organizations to process contracts, ensuring compliance with industry-specific regulations. With its multi-vertical support, this system can be adapted to meet the unique needs of different industries.

الوصف

يستخدم نظام switchup-contract-processing الذكاء الاصطناعي لتحسين إدارة العقود عبر مختلف القطاعات. يوفّر هذا النظام حلًا قويًا وموثوقًا للتنفيذ لإدارة العقود، مما يضمن الامتثال للمعايير التنظيمية المحددة لكل قطاع. مع دعمه متعدد القطاعات، يمكن أن يكون هذا النظام قابلًا للتكيف لاحتياجات كل قطاع بشكل فريد.

Novelty

7/10

Tags

contract-management multi-vertical-support industry-specific-regulations compliance artificial-intelligence

Technologies

drizzle express vitest zod

Claude Models

claude-opus-4.5

Quality Score

C+
75.8/100
Structure
63
Code Quality
100
Documentation
51
Testing
50
Practices
87
Security
100
Dependencies
80

Strengths

  • Consistent naming conventions (snake_case)
  • Low average code complexity \u2014 well-structured code
  • Good security practices \u2014 no major issues detected
  • Containerized deployment (Docker)

Weaknesses

  • No LICENSE file \u2014 legal ambiguity for contributors
  • No CI/CD configuration \u2014 manual testing and deployment
  • 483 duplicate lines detected \u2014 consider DRY refactoring

Recommendations

  • Set up CI/CD (GitHub Actions recommended) to automate testing and deployment
  • Add a linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

6.8h
Tech Debt (B)
Medium
DORA Rating
A
OWASP (100%)
Repobility · code-quality intelligence platform · https://repobility.com
PASS
Quality Gate
A
Risk (1)
MIT
License
0.6%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

json
52.4%
typescript
24.4%
markdown
17.2%
yaml
5.3%
sql
0.6%

Frameworks

Express Vitest Drizzle

Symbols

variable264
function93
interface36
constant20
method12
type_alias9
class2

API Endpoints (9)

Findings curated by Repobility · https://repobility.com
MethodPathHandlerFramework
Powered by Repobility — scan your code at https://repobility.com
GET/healthapp.getExpress/Koa
GET/openapi.jsonapp.getExpress/Koa
GET/reviews/pendingrouter.getExpress
GET/workflows/:idrouter.getExpress
POST/workflows/:id/comparerouter.postExpress
POST/workflows/:id/extractrouter.postExpress
POST/workflows/:id/retryrouter.postExpress
POST/workflows/:id/reviewrouter.postExpress
POST/workflows/ingestrouter.postExpress

Concepts (16)

Repobility (https://repobility.com) — every score reproducible
CategoryNameDescriptionConfidence
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
design_patternRepositoryFound repository-named files80%
auto_descriptionProject DescriptionAI-powered contract processing pipeline with multi-vertical support, human-in-the-loop review, and workflow orchestration.80%
design_patternMiddleware/PipelineFound middleware-named files80%
auto_categoryWeb Backendweb-backend70%
arch_patternLayered ArchitectureFound API/routes, service, and data layers70%
arch_layerapiDetected api layer70%
arch_layerbusiness_logicDetected business_logic layer70%
arch_layerdata_accessDetected data_access layer70%
arch_layerinfrastructureDetected infrastructure layer70%
arch_layertestingDetected testing layer70%
business_logicConfigurationDetected from 4 related files50%
business_logicDatabaseDetected from 13 related files50%
business_logicLoggingDetected from 3 related files50%
business_logicSearchDetected from 10 related files50%
business_logicTestingDetected from 12 related files50%
business_logicAPI GatewayDetected from 2 related files50%
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/

Quality Timeline

1 quality score recorded.

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