Software development is undergoing a fundamental shift. Teams are now building faster by utilizing AI assistants like Cursor and Claude Code to write, debug, and refactor code. This has evolved into "Vibe Coding," where founders can describe an idea in plain language and go from a concept to a working prototype in under an hour without writing a single line of code themselves.

Generic AI models don't know your business. Retrieval-Augmented Generation (RAG) solves this by feeding the AI your specific documents and product data to ensure accurate, relevant responses. By choosing the right approach—whether it’s RAG, fine-tuning, or structured knowledge graphs—you can ensure your AI understands the unique relationships within your company's data.

Startups can now eliminate "boring" manual labor through Document and Voice AI. This includes building automated pipelines to extract data from invoices and contracts, or deploying real-time voice assistants to handle customer support conversations.

A great AI strategy is only as good as its foundation. Mastering Prompt Engineering is the key to getting production-quality results and structured data from LLMs. However, moving from a demo to a real-world product requires rigorous testing, cost management, and the implementation of safety guardrails to prevent hallucinations.

By focusing on these practical workflows and emerging standards, the Corda Incubator ensures startups don't just experiment with AI—they build the future with it.