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Gigaversity

Gigaversity.inย โ€ขย 20d

We continuously explore tools that accelerate development and improve efficiency. Like many engineering teams, we adopted GitHub Copilot to assist in generating React components. However, we quickly encountered challenges: ๐Ÿ”น Excessive prop drilling ๐Ÿ”น Unstructured component design ๐Ÿ”น Up to 30% slower rendering performance The issue stemmed from AI-generated code that lacked architectural context, leading to long-term maintainability concerns. To address this, our engineering team implemented a structured solution: โœ”๏ธ Developed custom ESLint rules based on internal code quality standards โœ”๏ธ Created a React Server Component template library using TypeScript for scalable, reusable components โœ”๏ธ Integrated Sourcegraph Cody for context-aware code suggestions aligned with our architecture These steps significantly improved both code maintainability and application performance. As AI continues to shape modern development workflows, itโ€™s essential to pair automation with strong engineering practices and quality controls. Have you faced similar challenges with AI-generated code? Share your thoughts or experiences in the comments below

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