n8n in One Line
n8n connects services and logic into visual automations that can run on events or schedules.
Trigger -> transform -> call service -> decide -> notify / store
n8n Cheat Sheet
A practical reference for building low-code QA and AI workflows in n8n, from triggers and APIs to AI agents and RAG.
Useful Core Nodes
These are the nodes QA teams reach for first.
- Manual Trigger - Webhook - HTTP Request - Set / Edit Fields - IF - Code - Merge - Wait
HTTP Request Node
Most external integrations start here.
Use it for: - Jira API - GitHub API - TestRail API - Slack / Teams - internal app APIs Support: - headers - query params - auth - JSON body
Code Node
Use JavaScript to transform payloads when visual mapping is not enough.
return items.map(item => {
return {
json: {
title: item.json.summary,
priority: item.json.priority?.name ?? 'medium',
},
};
});
AI Agent Pattern
n8n can combine prompts, models, tools, and memory into agent workflows.
Trigger -> AI Agent
-> LLM
-> Tool nodes
-> Memory
-> Output / notification
RAG Pattern
Use vector stores when the agent needs project-specific context.
Documents -> embeddings -> vector store Question -> retriever tool -> AI agent -> answer
QA Workflow Ideas
These are the highest-value automation patterns for QA teams.
- Jira ticket to test cases - CI failure analyzer - bug summary generator - release checklist notifier - AI-powered requirement triage
Credentials and Secrets
Workflow speed is not a reason to lower security hygiene.
- use credential store - avoid hardcoded tokens - keep env-specific secrets separate - audit who can edit workflows
Reliability Tips
Good workflow design keeps failures visible and recoverable.
- add retry logic - branch on failure - keep steps small - inspect execution history - alert on repeated failures