AI-Powered Code Generation and Testing in .NET:

AI-Powered Code Generation and Testing in .NET: A Staff Engineer’s Guide to Modernizing Development Workflows This guide reflects patterns and practices from production .NET deployments integrating...

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AI-Powered Code Generation and Testing in .NET:

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AI-Powered Code Generation and Testing in .NET: A Staff Engineer’s Guide to Modernizing Development Workflows This guide reflects patterns and practices from production .NET deployments integrating OpenAI APIs. Code examples target .NET 9 and Azure OpenAI SDK. Model pricing and API specifications should be verified against current OpenAI and Azure documentation, as these change frequently. Executive Summary The integration of artificial intelligence into software development represents one of the most profound shifts in our industry since the advent of high-level programming languages. Large Language Models (LLMs), particularly those from OpenAI, have moved from experimental novelties to production-critical components in many organizations’ development pipelines. Teams that successfully integrate AI assistants are reporting 30–55% productivity gains in specific development tasks, while those that fail to adapt are accumulating technical debt at an alarming rate. What makes this transit

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