🛠**Step-by-Step Guide to Automated Workflows for Software Code Reviews using n8n:**
🔹 Start with a GitHub Trigger node…
🔹 Utilize the GitHub API node to check the PR details…
🔹 Use a Shell Executor node to run a linting script…
🔹 Use an HTTP Request node to trigger a code quality scan…
🔹 Use a Shell Executor node to run tests in the codebase…
🔹 Use an HTTP Request node to collect code coverage metrics…
🔹 Prepare an LLM request with PR diff, linting results…
🔹 With AI’s response, compile a report of potential issues…
🔹 Use a Switch node to route the PR based on the confidence score…
🔹 Use a GitHub API node to assign reviewers from a predefined list…
🔹 Notify team leads or repository maintainers about Red AI score issues…
🔹 Gather reviewer comments with a GitHub API node…
🔹 Combine feedback from multiple PRs using a Merge node…
🔹 Use a PostgreSQL node to store the AI analysis and review metrics…
🔹 Use a GitHub API node to decide on merging the PR…
🔹 Use the Slack API node to notify key stakeholders…
🔹 Schedule weekly performance reports using a Cron node…
🔹 Use an HTTP Request node to update the GitHub repository…
🔹 Set up a Grafana node to fetch stored data…
🔹 Use a Webhook node to gather feedback from the developers…
📊 **Summary of APIs, Scripts, and Tools:**
– GitHub Trigger node
– GitHub API node
– Shell Executor node
– HTTP Request node
– SonarCloud API
– Codecov or Coveralls
– OpenAI’s Codex API
– Slack API node
– PostgreSQL node
– Cron node
– Grafana node
