Software Development
From instructions to pull request—automatically
How we built an autonomous development workflow that plans, builds, and submits features for review with a single prompt.
The Context
We built this for ourselves first
Utah Website Pros is a web development agency we operate. Before offering AI-accelerated development to clients, we implemented the workflow on our own codebase.
This case study documents that implementation—what we built, how it works, and the results we're seeing. We believe in using the tools we sell.
The Challenge
- Already using AI coding assistants, but still manually orchestrating the planning, implementation, and PR creation steps
- Quick wins and polish items rarely made it to the top of the priority list
- Wanted to maintain quality through review while increasing development velocity
The Workflow
How it
works
Provide instructions
Describe the feature, fix, or improvement needed. Natural language, no technical specification required.
AI plans and builds
The system analyzes the codebase, creates an implementation plan, writes the code, and runs tests.
Review and merge
A pull request appears with all changes. Review the code, provide feedback, or merge when ready.
In Practice
What this looks like
The instruction
"Review the website for accessibility best practices and suggest any changes that might be needed."
The result
- Added skip navigation links for keyboard users
- Improved semantic landmark structure for screen readers
- Enhanced focus indicators for keyboard visibility
- Hid decorative elements from screen readers
- Fixed color contrast issues for visual accessibility
- Pull request ready for review and merge
The Results
What we're
seeing
1
Prompt to PR
Features go from instruction to pull request with a single prompt
100%
Human Review
Every change goes through PR review before merging
Continuous
Delivery
Ship features as fast as they can be reviewed
The Insight
"The value isn't replacing developers—it's removing the friction between deciding what to build and having it ready for review."
Human oversight remains essential. The PR review step catches issues, ensures quality, and maintains control. AI handles the implementation work; humans make the decisions.
Want this for your business?
We can implement the same workflow for your codebase. Let's discuss whether it's the right fit.