Developer describes implementing an app for Hypersistence Optimizer in two days with GitHub Copilot
Developer @vladmihalcea says he implemented an event history application for Hypersistence Optimizer in two days with GitHub Copilot. He estimated that the work would take weeks without AI. He plans to include the application in the next release.
In an interview with GitHub Blog, developer @vladmihalcea described implementing a web application intended to display the history of events in Hypersistence Optimizer. Its purpose is to track how optimization work affects application performance. According to the developer, implementation with GitHub Copilot took two days; he estimated that the work would take weeks without AI. This is his own assessment, not an independently verified comparison.
He uses GitHub Copilot in IntelliJ IDEA to analyze, design and implement features. He reviews both the plans and the generated code, intervening as needed when the results are unsatisfactory. He also described custom skills-style instructions that guide AI to follow established practices in the existing code, with an emphasis on maintainability and stability.
The event history application is intended to be part of the next release of Hypersistence Optimizer. The implementation described therefore does not, by itself, mean that the feature is already available to users.
Why it matters
The case illustrates a specific use of AI to implement a long-postponed feature: the developer used assistance directly within his development environment while retaining oversight of both design and code. The reported two days may encourage others to test a similar workflow for themselves, but they cannot establish a general time saving against an estimate measured in weeks.
Two audiences, two different impacts
What this means
For individuals
A developer can use the described workflow as a template for working with GitHub Copilot in IntelliJ IDEA, supplementing assistance with design and implementation with their own review of plans and code.
For a business
For development planning, the distinction between the reported two days of implementation and the merely estimated weeks without AI is important. This case alone is not sufficient grounds for shortening timelines or cutting budgets across the board.
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