Agentic Software Improvement
Let an agent search for a better code change while tests and a skilled operator control what ships.
The business problem
A model can make many code changes quickly. It can also improve the wrong score, miss a user journey, or change more of the system than the task requires.
How the work is handled
- Measure the current state and define what a valid improvement means.
- Limit the files, services, permissions, time, and cost available to the agent.
- Run regression tests plus browser or computer checks for the real user task.
- Keep only the changes that improve the target and pass every required check.
What is included
- Start-state record
- Experiment rules
- Automated checks
- Accepted and rejected result log
- Reviewed code change
What is not promised
- No unattended production release
- No broad credential access
- No single score without regression checks
- No promise that an agent wins every task
Test this on one workflow.
Bring one repeat process. We will map it, build a tested prototype, and show what changed.