Slack's AI-Powered, Hybrid Approach for Large-Scale Migration from Enzyme to React Testing Library
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Slack's AI-Powered, Hybrid Approach for Large-Scale Migration from Enzyme to React Testing Library
"On this one, we see a manual toothbrush on the left side and an electric automatic one on the right. This image on the left is the vacuum cleaner that you hold in your hands. You have to walk around the apartment and vacuum it and do the job yourself. On the right side, we have a robot vacuum. This might be a little bit more confusing."
"On the left, you have a plate in a sink, and on the right, you have a dishwasher. I have a question for you, what do you think these three images have in common? You might have guessed correctly that the objects on the right side perform their corresponding chores in a more autonomous, effective, and efficient way because they reduce effort, they save time, and they ensure better outcomes. To maintain good health, we need to perform these tasks consistently."
"Things like code reviews, writing documentation, refactoring code, writing tests, dealing with security, accessibility. One chore that stands out due to its frequency and impact is code migration, which is what I'll focus on. It's a robotic arm that takes one type of file from one pile and puts it in another pile, and it does it efficiently and systematically instead of us doing it manually."
Manual tools require direct human effort while automated tools perform chores more autonomously, reducing effort, saving time, and improving outcomes. Consistent execution of routine tasks is important to maintain overall system health. Developers face recurring maintenance chores—code reviews, documentation, refactoring, tests, security, and accessibility—that preserve a healthy codebase and workloads. Code migration is a frequent, high-impact maintenance task that is often tedious but essential. Treating migration like an automated, systematic operation—analogous to a robotic arm moving files between piles—improves efficiency and reliability compared with manual, ad hoc conversions.
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