Selecting the right Large Language Model (LLM) is crucial for organizations looking to integrate AI into their operations, as it can significantly influence project success. Key considerations when choosing an LLM include defining business goals and specific use cases, expertise and setup, budget, time to market, control over model quality and customization, data privacy, inference speed, cost efficiency at scale, size of LLM, supported programming languages, code quality, accuracy, and integration capabilities. Popular LLMs for AI code generation include OpenAI Codex, GitHub Copilot, TabNine, Code LLaMA, GPT-J, and StarCoder. Ensuring the quality and security of AI-generated code is essential, which can be achieved through thorough code reviews using specialized tools like SonarQube and SonarCloud.