Engineering leaders face increasing pressure to integrate AI into software development while balancing model selection, performance optimization, security and cost efficiency. Traditional fine-tuning approaches demand significant resources and struggle to keep pace with evolving enterprise codebases. Meanwhile, intelligent routing systems and expert models introduce complexity and scalability concerns.
The challenge lies in deploying AI solutions that provide accurate, context-aware recommendations while maintaining flexibility and efficiency…
