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Learn about augmented development through a real-world case study of building FastDecimal, a performance-optimized replacement for BigDecimal using AI agents like ChatGPT, Claude Sonnet, Gemini, and Junie. Explore the methodology behind leveraging AI for software development on a focused project designed for financial calculations with a scaling of 4 and Long as the scaledValue. Discover the practical successes, unexpected surprises, and significant pitfalls encountered when using AI agents for code generation, testing, and optimization. Examine how the project's scope was deliberately limited to enable meaningful comparison with BigDecimal through code review, JUnit tests, and JMH benchmarks for performance analysis. Understand the potential for SIMD operations to parallelize computation when using Long/long data types. Gain insights into the effectiveness of different AI agents for various development tasks and learn practical strategies for AI-augmented programming workflows through this 42-minute conference talk that may include live coding demonstrations and audience Q&A.
