Challenges in integrating LLMs into coding workflows

First, we should look at what the challenges are with LLM-generated code and workflows. Here are some of them:

• Code quality and reliability, security risks, and dependency management have already been mentioned.
• Explainability: Understanding the logic behind LLM-generated code can be difficult, making debugging and maintenance challenging
• Contextual understanding: The LLM understands a small context but not the whole code base or project, so its use may lead to incompatibility with the other code or not generate code that’s in the same style
• Code snippet length: LLMs may struggle to understand and process long code snippets, leading to incomplete or inaccurate responses
• Specialized domains: LLMs trained on general-purpose datasets might lack the deep domain-specific knowledge required for certain coding tasks, such as medical imaging or financial modeling
• Fixing complex errors: While good at finding...