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How we accelerated Python builds by 20x

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How we accelerated Python builds by 20x

The Amvera development team faced the need to drastically accelerate the Python build process while working on their AI assistant for writing and executing code. Long build times became a critical bottleneck for system efficiency. In their article, the authors detail the technical solutions and optimizations that allowed them to reduce build times by 20 times. The focus is on practical methods for environment configuration and infrastructure changes that can be useful for other developers facing similar performance issues in CI/CD pipelines. The article offers an in-depth look at internal build processes and demonstrates how the right approach to tool architecture can significantly improve development speed and user experience in services based on programming automation.

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