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Discover how to leverage Large Language Models to dramatically enhance your software development productivity in this hands-on workshop led by a principal engineer with three years of intensive LLM experience. Learn practical techniques that extend far beyond basic prompts and standard tools, drawing from real-world insights gained through over 6,000 GitHub contributions made using LLMs in a single year. Explore how to combine classic design patterns like domain-specific languages and declarative programming with transformer-based models to create more effective development workflows. Master the art of identifying optimal use cases for LLMs in software development that go beyond simple code generation, and understand how to build systems where LLMs write software that instructs other LLMs to write additional software. Gain immediately applicable insights and techniques suitable for any expertise level with LLMs, whether you're working on new projects, maintaining legacy code, or learning new frameworks and technologies. The workshop includes interactive exercises and real-world examples designed specifically for engineers and software professionals seeking concrete solutions to improve their development processes, with preparation recommendations including access to LLMs like GPT-4o and Claude 3.5 Sonnet, plus a list of programming topics or projects you'd like to work on during the session.
