Automating Real Product Improvements with AI
fatih_koc · reddit · 2026-07-14
The author built a nearly unattended system for real-world products:
- Automatically generates work tasks;
- Performs quality checks using predefined rubrics;
- Automatically creates pull requests for every change;
- Auto-deploys after merging;
- Reads analytics data to suggest improvements to the workflow itself;
- Processes its own code modifications using the same pipeline.
The author points out that the main challenge isn't whether the model can write code, but how to make autonomy trustworthy:
- Runs must never silently hang waiting for human intervention;
- Every run must explicitly report success or failure;
- High-risk changes must have a rollback mechanism.
They believe the true output of such projects isn't a single product, but a reusable "observe-decide-execute-verify" machine.
Related event: Developer Creates Self-Improving AI Agent System(2 posts)→
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