This workflow automates the process of monitoring GitHub commits and integrating AI-powered analysis within Jenkins workflows. Starting with a webhook trigger, the workflow captures commit data, processes it with natural language tools, stores embeddings and logs in a database, and utilizes an AI language model for contextual understanding. It then updates Google Sheets with insights and sends Slack alerts in case of errors, providing a comprehensive automation solution for development teams to track, analyze, and respond to GitHub activity efficiently. Ideal for continuous integration, code review monitoring, and team notifications.
Automated GitHub Commit Monitoring with Jenkins and AI Insights
| Node Count | 11 – 20 Nodes |
|---|---|
| Nodes Used | @n8n/n8n-nodes-langchain.agent, @n8n/n8n-nodes-langchain.embeddingsOpenAi, @n8n/n8n-nodes-langchain.lmChatOpenAi, @n8n/n8n-nodes-langchain.memoryBufferWindow, @n8n/n8n-nodes-langchain.textSplitterCharacterTextSplitter, @n8n/n8n-nodes-langchain.toolVectorStore, @n8n/n8n-nodes-langchain.vectorStoreSupabase, googleSheets, slack, stickyNote, webhook |
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