Agent Job Specs

C 60 completed
Framework
unknown / markdown · tiny
36
Files
8,359
LOC
0
Frameworks
1
Languages

Pipeline State

completed
Run ID
#344294
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Skipped
Decision
skip_scaffold_dup
Novelty
45.92
Framework unique
Isolation
Last stage change
2026-04-16 18:15:42
Deduplication group #48507
Member of a group with 1 similar repo(s) — canonical #36986 view group →
Top concepts (2)
Project DescriptionDocumentation
Methodology: Repobility · https://repobility.com/research/state-of-ai-code-2026/

AI Prompt

Create a documentation framework that maps traditional company roles to their AI agent equivalents. I need to document the "Natural World" roles, detailing responsibilities and costs, and contrast them with the "Future World" AI agent counterparts, including their capabilities and limitations. The documentation should also cover a go-to-market strategy for launching products from Cape Town, South Africa, and include technical architecture details like threat modeling and server design. Please structure this using markdown files for clarity.
markdown ai-agents documentation framework sa-tech business-plan roles architecture
Generated by gemma4:latest

Catalog Information

A framework that maps traditional company roles to AI agent equivalents, enabling rapid, cost-effective product development.

Description

This framework documents how every role in a conventional software company can be replaced by an AI agent, detailing responsibilities, costs, and constraints. It provides a side‑by‑side comparison of human teams versus autonomous agent teams, including spin‑up times and capability limits. The accompanying book offers a step‑by‑step guide to building and operating an AI‑powered organization. A concrete business plan demonstrates how to launch products from Cape Town, South Africa, using local payment providers and markets. The technical architecture outlines security, authentication, and deployment best practices for a fully automated stack.

الوصف

يُقدِّم هذا الإطار وثائق تفصيلية توضح كيف يمكن استبدال كل دور في شركة برمجيات تقليدية بوكلاء ذكاء اصطناعي، مع توضيح المسؤوليات والتكاليف والقيود. يقدِّم مقارنة جنباً إلى جنب بين الفرق البشرية والفرق القائمة على الوكلاء، مع تفاصيل حول أوقات الإطلاق والقدرات المحدودة. يتضمن الكتاب المصاحب دليلًا خطوة بخطوة لبناء وتشغيل منظمة مدعومة بالذكاء الاصطناعي. يوضح خطة العمل الملموسة كيفية إطلاق منتجات من كيب تاون، جنوب أفريقيا، باستخدام مزودي الدفع المحليين والأسواق. يصف التصميم الفني للمعمارية الأمنية والمصادقة ونُهج النشر لمكدس مؤتمت بالكامل. يركز الإطار على إنشاء دائرة أمل ذاتية الاستدامة، حيث يشارك الأفراد قصصًا مجهولة وتُباع منتجات بأسعار معقولة لدعم المجتمع. يهدف إلى تقليل التكاليف السنوية وتقصير زمن الوصول إلى السوق إلى أسابيع بدلاً من أشهر.

Novelty

8/10

Tags

ai-agents autonomous-teams company-roles product-development business-strategy cost-analysis time-to-market community-platform

Claude Models

claude-opus-4.6

Quality Score

C
60.2/100
Structure
34
Code Quality
100
Documentation
45
Testing
0
Practices
78
Security
100
Dependencies
50

Strengths

  • Low average code complexity \u2014 well-structured code
  • Good security practices \u2014 no major issues detected

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

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 linter configuration to enforce code style consistency
  • Add a LICENSE file (MIT recommended for open source)

Security & Health

4.1h
Tech Debt (B)
A
OWASP (100%)
PASS
Quality Gate
A
Risk (1)
Repobility · severity-and-effort ranking · https://repobility.com
Unknown
License
0.0%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

markdown
100.0%

Frameworks

None detected

Concepts (2)

Repobility analysis · methodology at https://repobility.com/research/
CategoryNameDescriptionConfidence
Citation: Repobility (2026). State of AI-Generated Code. https://repobility.com/research/
auto_descriptionProject Description> A comprehensive framework demonstrating how AI agents can replace traditional company roles to research, create, market, and launch products — with a focus on a South African community platform.80%
auto_categoryDocumentationdocs70%

Quality Timeline

1 quality score recorded.

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