Summary
Set up an automated pipeline that generates sample Flow projects using AI tools daily, with manual review to identify tooling gaps and track improvement over time.
Context
To systematically improve AI tooling quality, we need a feedback loop: generate projects automatically, review the output, identify where the tools fall short, and fix the issues. Comparing outputs day-over-day will show whether tooling changes are actually improving results.
Acceptance Criteria
References
- Flow x AI doc: "Setup automation for building simple project and evaluate the output"
- Discussed in AI tooling sync (Mar 25, Apr 1)
- Owners: Jan Bernatik, Navid TehraniFar
Summary
Set up an automated pipeline that generates sample Flow projects using AI tools daily, with manual review to identify tooling gaps and track improvement over time.
Context
To systematically improve AI tooling quality, we need a feedback loop: generate projects automatically, review the output, identify where the tools fall short, and fix the issues. Comparing outputs day-over-day will show whether tooling changes are actually improving results.
Acceptance Criteria
References