High Intensity Dev

F 43 completed
Framework
unknown / python · tiny
9
Files
1,975
LOC
0
Frameworks
2
Languages

Pipeline State

completed
Run ID
#343456
Phase
done
Progress
1%
Started
Finished
2026-04-13 01:31:02
LLM tokens
0

Pipeline Metadata

Stage
Cataloged
Decision
proceed
Novelty
44.92
Framework unique
Isolation
Last stage change
2026-05-10 03:35:31
Deduplication group #51189
Member of a group with 16 similar repo(s) — canonical #25995 view group →
Top concepts (1)
Template/Starter
Repobility — the code-quality scanner for AI-generated software · https://repobility.com

AI Prompt

Create a Python-based framework designed to help developers maintain high-intensity work sustainability while using AI coding assistants. I need it to include a local web server, specifically the `workstate-dashboard.py` tool, which aggregates status from multiple AI coding sessions. The framework should also incorporate principles like defining "done for today" and tracking workstate using patterns. Please structure the project using the provided `guide.md` and `patterns/` directories.
python ai-assistant sustainability developer-tools web-server framework productivity
Generated by gemma4:latest

Catalog Information

A framework that helps developers using AI coding assistants sustain high‑intensity work without burnout.

Description

This framework offers a structured approach for developers who pair with AI agents for extended periods. It presents five core rules—setting daily limits, capping deep work, visible shutdowns, mandatory sleep, and maintaining personal identity—to prevent burnout. The guide delves into the neurochemistry of flow, the pitfalls of instant feedback loops, and practical recovery protocols. Complementary patterns and tools, such as a work‑state dashboard and integration snippets for popular AI assistants, enable real‑time tracking of parallel workstreams. Targeted at solo developers, team leads, and anyone working long hours with AI, it addresses the infinite backlog problem and promotes sustainable productivity.

الوصف

يقدم هذا الإطار نهجاً منظمًا للمطورين الذين يعملون مع وكلاء الذكاء الاصطناعي لساعات طويلة. يضع خمسة قواعد أساسية—تحديد حدود يومية، تحديد ساعات العمل العميق، إيقاف واضح، النوم الإلزامي، والحفاظ على الهوية الشخصية—لتجنب الإرهاق. يتعمق الدليل في علم الأعصاب للتيار، ومخاطر الحلقات الفورية للتغذية الراجعة، وبروتوكولات التعافي العملية. تشمل الأنماط العملية والأدوات، مثل لوحة عرض حالة العمل وقطع دمج للذكاء الاصطناعي الشائعة، تتبعًا في الوقت الحقيقي لسلاسل العمل المتوازية. يستهدف المطورين الفرديين، وقادة الفرق، وأي شخص يعمل لساعات طويلة مع الذكاء الاصطناعي، ويعالج مشكلة قائمة المهام غير المحدودة ويعزز الإنتاجية المستدامة.

Novelty

8/10

Tags

sustainability developer-well‑being ai‑assisted-development burnout-prevention productivity-management work‑life-balance time-management

Claude Models

claude-opus-4.6

Quality Score

F
43.0/100
Structure
46
Code Quality
25
Documentation
67
Testing
0
Practices
55
Security
92
Dependencies
50

Strengths

  • Consistent naming conventions (kebab-case)
  • Good security practices \u2014 no major issues detected
  • Properly licensed project

Weaknesses

  • No tests found \u2014 high risk of regressions
  • No CI/CD configuration \u2014 manual testing and deployment
  • 271 duplicate lines detected \u2014 consider DRY refactoring
  • 1 '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 linter configuration to enforce code style consistency

Security & Health

6.3h
Tech Debt (D)
A
OWASP (100%)
FAIL
Quality Gate
A
Risk (20)
Repobility — same analyzer, your code, free for public repos · /scan/
MIT
License
3.2%
Duplication
Full Security Report AI Fix Prompts SARIF SBOM

Languages

python
80.7%
markdown
19.3%

Frameworks

None detected

Concepts (1)

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