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logging to /home/runner/.local/share/goose/sessions/20250921_100001.jsonl
working directory: /home/runner/work/tech-stack-advisor/tech-stack-advisor

docker-compose.yaml

  • Removed an empty line at the end of the file
  • Added an empty line at the end of the file

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logging to /home/runner/.local/share/goose/sessions/20250921_100311.jsonl
working directory: /home/runner/work/tech-stack-advisor/tech-stack-advisor

```.github/workflows/ci.yml`

  • Removed pull request branch trigger
    ```docker-compose.yaml`
  • Removed an empty line at the end of the file

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🤖 AI Code Review

Automated review by Goose + Google Gemini

logging to /home/runner/.local/share/goose/sessions/20250921_100937.jsonl
working directory: /home/runner/work/tech-stack-advisor/tech-stack-advisor

Okay, I will review the changes with a focus on the areas you specified.

.github/workflows/ci.yml

  • Summary of changes: Removed the pull request trigger for the main branch.
  • Key observations: This change means that the CI pipeline will no longer run automatically on pull requests targeting the main branch.
  • Recommendations for improvement: Consider whether this was intentional. If PR checks are desired, re-add the pull_request trigger. It's generally good practice to run CI on all PRs.
  • Security or performance notes: N/A

.github/workflows/goose-pr-review.yml

  • Summary of changes: Modified the Goose PR review workflow to use a dedicated instructions file and improve the output formatting of the AI review comment.
  • Key observations: The workflow now reads instructions from .goose/instructions.txt, which allows for easier modification and maintenance of the review criteria. The output formatting is improved for better readability in the PR comment.
  • Recommendations for improvement: Consider adding error handling in case changes.txt is empty.
  • Security or performance notes: Ensure that the GOOGLE_API_KEY secret is properly secured.

.goose/instructions.txt

  • Summary of changes: Added a new file containing detailed instructions for the Goose AI code review process.
  • Key observations: This file provides a structured and comprehensive guide for the AI review, covering various aspects of the codebase and desired review format.
  • Recommendations for improvement: Ensure the instructions are kept up-to-date with the evolving project requirements.
  • Security or performance notes: N/A

docker-compose.yaml

  • Summary of changes: Added Redis and Nginx services to the Docker Compose configuration.
  • Key observations: The docker-compose.yaml file now includes services for Redis (for data persistence) and Nginx (for reverse proxy and load balancing). A volume is created for Redis data.
  • Recommendations for improvement: Consider using environment variables for configurable settings like Redis port. The Nginx configuration should ideally support HTTPS.
  • Security or performance notes: Ensure appropriate resource limits are set for each service in production.

nginx.conf

  • Summary of changes: Added a new Nginx configuration file to handle reverse proxying and load balancing for the tech-stack-advisor service.
  • Key observations: The Nginx configuration file sets up a reverse proxy to the tech-stack-advisor service, forwarding requests and setting appropriate headers. A health check endpoint is also defined.
  • Recommendations for improvement: Add TLS/SSL configuration for HTTPS support. Consider adding rate limiting and other security measures.
  • Security or performance notes: Ensure that the Nginx configuration is properly secured and optimized for production use.

Overall Assessment:

  • Rate: Good
  • Main strengths:
    • The introduction of .goose/instructions.txt for the AI review workflow makes it easier to customize and maintain the review process.
    • The addition of Redis and Nginx services to the Docker Compose configuration enhances the application's scalability and data persistence capabilities.
  • Priority improvements:
    • Add HTTPS support to the Nginx configuration.
    • Re-evaluate the removal of the pull request trigger from the CI pipeline and consider re-adding it.
  • Production readiness assessment:
    • The changes improve the application's architecture and CI/CD process but require additional security hardening and optimization before being deployed to production. Specifically, HTTPS should be enabled, and resource limits should be configured for the services.

I also noticed that you are trying to use Goose in your CI/CD workflow. I would suggest you enable the search_available_extensions to explore options. You may find tools to make the integration with GitHub actions easier, and to use the LLM more effectively.


This review was automatically generated. Use human judgment for final decisions.

@gouravjshah gouravjshah deleted the add-docker-compose branch September 21, 2025 10:22
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2 participants