Introduction:
To assist programmers in understanding the whole code base within a business, CodeSee was established in 2019. To make the Generative AI to Explore Code Bases and systems and how changes might impact the various links clear, visual maps were intended to be provided. The platform will now allow users to ask queries in natural language about the code base, the business said in an announcement today.
According to Shanea Leven, co-founder, and CEO of the business, Generative AI is ideal for what CodeSee has been attempting to accomplish. She told TechCrunch, “Our ideas, mission, and use cases don’t change with the inclusion of AI, but our knowledge of how people comprehend and understand code strengthens when you layer AI onto it.
The generative AI function allows you to engage with the code in your IDE. CodeSee, for instance, returns with a text-based response and a code map that includes lines that show the connections between various parts of the code base.
So you can delve deep into where those various things are. To help you understand how something truly performs, we draw lines from that query to the locations of those files and functions in your IDE, she added. On top of the features that CodeSee already provided, it becomes an intelligent addition.
Generative AI to Explore Code Bases (Image Source: ts2.space)
Generative AI to Explore Code Bases:
According to Leven, the business collaborated with Microsoft and OpenAI to develop the new generative AI feature. That was beneficial in more ways than one because the company, which only has 11 people, is still lean. Because of the relationship, they could develop the new functionality rapidly without hiring more staff.
Service maps, recently introduced by CodeSee, give organizations visibility across numerous code bases. When you plug that in, you get this complete high-level architecture view that we didn’t have before, which is assisting many enterprise customers in understanding what is happening throughout their code base, according to Leven. It is a full cross-repo visibility view of all your endpoints, message queues, Kafka pipelines, and other things [in your system.
Using an AI-based question engine could become even more beneficial as the company broadens its offerings and gives clients deeper understanding of their code. According to her, the new generative AI function would initially be available in beta upon request. Before making the tool accessible later this year, they aim to collaborate with its enterprise customers to improve it.
Disclaimer – We have collected this information from various trustworthy sources on the Internet, and the facts have been checked manually and verified by our In House team.
