Code generation through Large Language Models (LLMs) is revolutionizing software development by allowing developers to create code from simple language prompts, thereby improving efficiency and reducing the barriers for non-experts. LLMs, such as Code-Llama, are pre-trained on diverse datasets to understand coding patterns and provide real-time suggestions and completions through AI-assisted tools known as "copilots," which integrate with developers' existing tools. These models also serve as standalone code generators, facilitating rapid prototyping and code scaffolding. Popular open-source LLMs like OpenCodeInterpreter, DeepseekCoder, and Starcoder are being leveraged for their ability to handle complex prompts and generate high-quality code. However, challenges such as ensuring millisecond response times, managing the total cost of offering due to token-heavy processes, and achieving model customizability remain. Fireworks AI offers an enterprise-scale inference engine that supports these AI-driven processes with low latency and high throughput, enabling developers to build scalable applications efficiently.