Hallunot
C+ 79 completedPipeline State
completedPipeline Metadata
AI Prompt
Catalog Information
Hallunot is a tool that helps developers choose library and framework versions that are more likely to be known well by Large Language Models (LLMs), reducing hallucinations when coding with AI.
Description
Hallunot combines library-level and model-level signals into a single heuristic score for every library + version + LLM combination. It evaluates factors such as stability, simplicity, popularity, language affinity, and recency risk to provide a color-coded risk assessment. The tool uses Clean Architecture and Domain-Driven Design principles to ensure maintainability and testability.
الوصف
يُستخدم Hallunot لتحديد إصدارات المكتبات والفرームوركس التي تتمتع بمرونة أكبر مع Large Language Models (LLMs)، مما يقلل من الحلوكات عند كتابة الكود باستخدام الذكاء الاصطناعي. يتضمن Hallunot تراكب signals library-level و model-level في نتيجة تقييمية واحدة لكل kombinasi library + version + LLM. يقيّم العوامل مثل stabilitiy، simplicity، popularity، language affinity، و recency risk لتقديم تقييم خطر ملون.
Novelty
7/10Tags
Technologies
Claude Models
Quality Score
Strengths
- CI/CD pipeline configured (github_actions)
- Code linting configured (eslint)
- Low average code complexity \u2014 well-structured code
- Good security practices \u2014 no major issues detected
- Properly licensed project
Weaknesses
- 2 files with critical complexity need refactoring
- 350 duplicate lines detected \u2014 consider DRY refactoring
Security & Health
Languages
Frameworks
Concepts (2)
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| auto_description | Project Description | Hallunot is a tool that helps developers pick library and framework versions that a given LLM is more likely to know well — reducing hallucinations when coding with AI without extra context (no RAG, no web search, no MCP). | 80% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| auto_category | Web Frontend | web-frontend | 70% | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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