DEV BRO
Ready to Master Complex Source Code Like COBOL or Haskell?

Where are the data stored during processing and analysis?

DEV BRO stores data in a secure cloud environment, ensuring confidentiality and data integrity. The data is processed within this secure environment, and the results are then presented to the user.

How is the security of the large language model ensured in the Azure/AWS environment?

Our large language model operates on dedicated Azure/AWS instances, isolated from common public API providers of LLM, which ensures enhanced security. All data processed by the LLM remains confined within this secure environment and is not used for training LLM models, thereby preserving data integrity and confidentiality.

Which LLM models does DEV BRO support?

DEV BRO is currently compatible with Azure OpenAI and AWS Bedrock (Claude).

Which programming languages does DEV BRO support?

DEV BRO uses an LLM language model along with the open-source tool CTAGS for analysis. As a result, it supports virtually all common programming languages such as COBOL, Perl, Java, C, C++, C#, Haskell, Ada, JavaScript, Python, Go, Ruby on Rails, and many others.

How does DEV BRO create documentation and describe functions within the code?

DEV BRO automatically generates documentation and function descriptions based on an analysis of the source code and its structure. It identifies individual logical code blocks using CTAGS, then analyzes and describes them using the LLM.

What types of questions can you ask DEV BRO?

DEV BRO allows you to ask questions about source code, its structure, functions, and logic. You can pose questions in natural language, and DEV BRO will respond based on its analysis of the source code. Additionally, DEV BRO may suggest code changes that can be implemented.