#quality-engineering
GitHub Topic「quality-engineering」がついているAI関連リポジトリの集計。Topicはリポジトリ作者が自己申告するメタタグで、AI関連の文脈で何が「quality-engineering」と分類されているかを可視化します。
REPOS #quality-engineering のRepo (TOP 4 / Stars降順)
A shared knowledge vault + full software-engineering workflow for AI coding agents — run Claude Code and Codex in parallel with one memory, one plan.
prekshajain22/AI-Test-OrchestratorAI Quality Engineering framework for evaluating LLM and RAG applications using automated prompt testing, hallucination detection, and AI evaluation metrics.
nevans-ai-qa-claude/ai-qa-failure-triageOn this task an LLM did not beat free deterministic clustering. Clustering is worth +60.6 macro F1 over the majority floor at zero cost; adding claude-opus-5 cost 11.9 macro F1 and $0.31. Measured against a published corpus. Project 1 of an AI-in-QA portfolio.
anandkrshnn-ai/gcp-incident-analysis-demoRELATED 他のTopicも見る · 全Topicランキング →
#claude-code
2,838#ai-agents
2,208#llm
1,699#claude
1,484#mcp
1,376#python
1,357#developer-tools
1,237#ai
1,038#codex
1,005集計対象: 各Repoの最新contentスナップショットの topics_json に小文字一致でマッチしたもの。 算出方法