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Dev.Pro contractors share the AI prompts they use to work smarter, challenge ideas and create better results. The right prompt can save time, improve quality and help you think differently. Below, our engineers share their favorite prompts and explain how they integrate them into their daily workflows to increase efficiency.
Code Comparison Across Repositories
Marcio Arakaki, Software Engineer, uses a specific prompt designed to evaluate different implementations. His prompt is: “Compare these files across different projects and point out differences in logic, missing functionality, missing configurations, and possible issues. Suggest the changes needed and generate the code updates where appropriate.”
In practice, Marcio uses this prompt to compare files across multiple repositories without manually jumping between projects. This approach helps the engineering team compare implementations faster, find missing logic and configurations, spot regressions and potential issues and keep repositories aligned across the board.
Challenging Solid Technical Solutions
Ihor Kremenskyi, QA Engineer, approaches AI from a different angle by using it as a critical sounding board. His go-to prompt is: “Pretend you disagree with this implementation. Your goal is to find a better way or explain exactly why one does not exist.”
How it works is quite straightforward because once a solution feels technically solid, Ihor asks AI to challenge it. This technique helps engineering teams fight confirmation bias, explore alternative approaches, understand trade-offs and identify simpler or more scalable solutions before moving forward with final code.
Reviewing Test Scenarios and Requirements
Marcello Mello, Test Engineer Automation, utilizes AI to verify compliance and uncover blind spots in testing logic. His favorite instruction is: “Check if there’s test scenarios missed based on following rules: [rules]”
Through this method, Marcello asks AI to review test scenarios against documented rules and requirements to uncover gaps. This practice helps QA and engineering teams detect missing test cases, validate coverage against requirements, surface edge cases and exceptions and increase confidence before release.
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