When developing a software project with commercial potential, key considerations include open-source challenges, risks associated with coding co-pilots, and machine learning innovations. The discussion will address:

• Different OSS licenses and their terms
• Considerations when incorporating OSS in projects planned for commercialization
• Considerations when open sourcing your own code
• Risks of using LLMs for generating code for commercialization
• Data providence – collection, storage, and use
• Commercialization strategies in view of publication requirements