Modern teams can resolve production issues faster by connecting Xperience by Kentico with n8n and AI coding agents. The goal is simple: capture errors, route them to an orchestrated workflow, classify root causes, and draft fixes as governed pull requests. Keep humans in control, protect secrets, and maintain a complete audit trail. 💡🛠️🔒
This post lays out a practical architecture for software engineers, DevOps practitioners, and solutions architects. It covers event collection, scheduled forwarding, n8n orchestration, AI triage, GitHub automation, and governance. The design emphasizes human-in-the-loop, security, and observability at every step. Why this matters, you get speed without losing control. 🙂📈
Architecture at a Glance
- Event capture in Xperience by Kentico via the built-in event log. ✅
- Scheduled task pushes errors to n8n over HTTP or webhooks. 🔗
- n8n workflow transforms data, classifies issues, and opens tickets or PRs. 🛠️
- AI coding agents propose changes and draft pull requests. 🤖
- Protected branches and CI enforce standards before merge. ✅
- Audit trails and observability monitor each transition. 📊
Capture and Configure Events in Xperience
Xperience records significant events, errors, and application behaviors in its event log. You can access it in the admin UI and via APIs. Log levels and filters are configured with .NET logging in appsettings.json. See the official guidance in the Kentico Event Log docs. 📚
Keep logging concise and actionable. In practice, use Information, Warning, and Critical levels consistently. Apply filtering to reduce noise and avoid false positives. Treat log configuration as a first-class control for reliability and signal quality. Why this matters, strong signals help teams act fast. ✅💡
Forwarding with Scheduled Tasks
Create a scheduled forwarder that scans recent errors and posts them to n8n. Implement it by using the IScheduledTask interface. Configure intervals and execution parameters in the Scheduled Tasks application. Assign distinct identifiers to prevent conflicts across projects. For implementation details, refer to the Scheduled Tasks docs. 🧭🛠️
Forward data using HTTP clients or webhooks. Include secure authentication and API keys. Record each outbound event for auditing. The task should batch or rate limit as needed and avoid duplicate sends. Capture request and response metadata for traceability. What would I do next, start small and validate forwarding in a test environment. 🔐📈
Orchestrate with n8n
Use n8n workflows to receive, enrich, and route issues. Workflows are built from nodes and start with triggers. The Webhook and HTTP nodes accept events from Xperience and forward them to downstream systems. Manage credentials centrally to protect secrets. Explore concepts and guidance on the n8n blog. 🧩🔑
Normalize incoming data with mapping nodes. Include request ID, source system, severity, and timestamp. Use branching to separate Critical from Warning flows. Integrate an LLM or AI agent node to classify root causes and suggest remediation steps. Connect GitHub nodes to open issues for tracking and to initiate PR automation. Are our jobs at risk or just changing, keep humans in the loop. 😉🤖
Focus on reliability with error handling, retries, logging, and secure secrets management. ✅🧪
Handle transient failures with retries and backoff. Log workflow state at each node. Use dead-letter queues or alternate paths for repeated failures. Make workflows idempotent to avoid duplicate issues or PRs. Store sensitive tokens in n8n credentials, not in node parameters. Why this matters, resilient workflows prevent alert fatigue and duplicate work. 📊🛡️
AI Coding Agents for Triage and Draft Fixes
AI coding agents can classify errors, automate routine coding tasks, and draft suggested fixes. They can generate PRs that reference the detected root cause and proposed changes. This accelerates resolution while keeping reviewers in control. Learn more in the GitHub Copilot coding agents. 🤖🛠️
Set clear boundaries for agent actions. Use agents to prepare diagnostics, candidate patches, and PR descriptions. Avoid direct merges. Always require human review before code enters protected branches. Keep agent access limited to specific repositories and scopes. Why this matters, guardrails ensure quality and accountability. 🔒✅
GitHub Issues, PRs, and Guardrails
From n8n, open a GitHub issue when an error arrives and lacks a known fix. Attach summarized context from the event and LLM classification. When the agent proposes changes, draft a PR into a protected branch. Require approvals, testing, and CI policies before merge. Use PR templates to enforce compliance, risk assessments, and testing notes. 🧩📄
Enable automated checks in the PR workflow. Run unit tests, integration tests, and policy checks. Block merges on failures. Maintain a clear approval gate for production deploys. All actions should be logged to preserve an audit trail from error to merge. Why this matters, governance keeps production stable. ✅🛡️
Observability and Auditability
Design for transparency. Keep audit trails in Xperience, n8n, and GitHub. Track every transition with timestamps and identifiers. Use observability dashboards to monitor workflow execution and data integrity. Build alerts for stuck tasks, repeated failures, and unusual patterns. 📈🔎
Record why a PR was opened, who approved it, and what checks passed. Ensure that secrets never appear in logs. Enforce access controls in each system. Regularly review logs for drift or misconfigurations. What would I do next, review dashboards weekly and tune alerts. 🔐✅
Security and Governance
Security must be embedded end to end. Authenticate HTTP and webhook calls from Xperience to n8n. Protect secrets with credential stores. Limit agent permissions to least privilege. Validate inputs before invoking agents or creating PRs. 🔒🧪
Governance moderates automation with human approval. Keep manual checkpoints for critical stages, such as production deployment. Use risk controls to mitigate unauthorized merges and noncompliant changes. Blend automation with manual oversight to enhance reliability and compliance. Why this matters, balanced control prevents costly mistakes. ✅📋
Putting It All Together
Here is a practical flow: 🧭
- Xperience logs an error and filters it for forwarding. ✅
- A scheduled task posts the error to an n8n webhook with authentication. 🔐
- n8n normalizes the payload and classifies root cause with an AI agent. 🤖
- The workflow opens a GitHub issue and drafts a PR with suggested fixes. 🛠️
- CI runs tests and policy checks on the PR. 🧪
- A human reviews the PR and approves or requests changes. 👀
- Merge occurs only after all checks pass, then deployment proceeds. 🚀
Each step generates audit data. Errors and state changes are logged. Secrets remain protected. Failures trigger retries and fallbacks. The system balances speed with control. Why this matters, traceability builds trust across teams. 📊🔒
Implementation Notes and Pitfalls
- Scope logs to reduce noise. Use filters to avoid alert fatigue. 🔎
- Assign unique identifiers to scheduled tasks to prevent conflicts. 🧭
- Use Webhook credentials and token rotation in n8n. 🔐
- Keep agent prompts grounded in structured event data. 📄
- Enforce protected branches and CI across all repositories. ✅
- Monitor for workflow loops and duplicate PR creation. 🔁
- Review audit logs to validate end-to-end traceability. 📜
Conclusion
Automated issue resolution does not mean removing humans. It means elevating them. Xperience captures events, n8n orchestrates reliable workflows, and AI agents accelerate routine fixes. With protected branches, CI policies, and end-to-end auditability, teams can improve mean time to resolution without sacrificing security or governance. 🤝📈
Start by tuning the event log and scheduling a secure forwarder. Build a minimal n8n workflow with robust retries and logging. Then add AI classification and PR draft generation behind human review gates. With this architecture, you get speed, safety, and transparency in one pipeline. ✅🔒
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