AI BriefingAutomating UX Issue Detection: A Continuous AI Workflow for PostHog Session Analysis
Key point
This introduces a Continuous AI workflow that uses the Continue CLI to analyze PostHog session data and automatically create GitHub issues.
Details
User behavior data (button click errors, long-form abandonment, etc.) provides important UX insights, but the process of manually reviewing this data and creating tickets is slow and inefficient.
By leveraging the Continue CLI, you can automate this process by building a Continuous AI workflow based on natural language prompts instead of complex Bash scripts. The workflow operates as follows:
- Fetches recent session recordings via the PostHog API.
- Uses the AI capabilities of the Continue CLI to analyze patterns based on console errors, session duration, drop-off rates, and more.
- Creates prioritized issues via the GitHub API based on the analysis.
- Runs automatically on a regular daily basis via GitHub Actions.
This approach goes beyond simple code completion, functioning as a CLI as infrastructure that handles everything from API authentication to data processing and issue creation. This allows developers to automatically receive reports on the latest UX issues every morning without any intervention.
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