Awesome!. I like the focus on a specific part instead of the whole file. This is built to address a very clear set of human problem: Working memory and distraction due to clutter. In general, using a machine to work with the human to solve a problem: Understanding and editing a code base that is formidable.
Use case 1, which you solve, is traversing your own - rather large - code base to do editing, but then there is also the usecase of traversing a new code base base and understanding it by reading/writing a unit test. And also the case of a person who is new to a language but is trying to understand a project. All while that memory pressure is causing him to forget/tire.
In general, I feel one comprehensive way to solve this is using the Theory Of Mind idea from AI-Planning:
1. Set the goal and subgoal of what you are trying to do: Typically these are: Edit code base to add feature, Edit, the code base to add tests, Understand code base by reading/executing a test. But there could be more based on goals and intentions of the person reading the code. These goals come with a set of Actions the system is capable of.
2. Your system can generate/propose a set of actions to meet that goal. Starting with the basics. LLMs could be used to generate "ideas" based on the goals which could be converted to a formal plan which could then be presented to a human in NL [1]. These plans could be just steps based on call graphs at first(very deterministic). But it could also mean that changes could affect other functionalities that you previously understood and now the understanding is obsolete because of those changes. Implementing an Agent that knows what you know and doing it well is a Theory of Min(ToM) implementation that is the holy grail of AI.
Use case 1, which you solve, is traversing your own - rather large - code base to do editing, but then there is also the usecase of traversing a new code base base and understanding it by reading/writing a unit test. And also the case of a person who is new to a language but is trying to understand a project. All while that memory pressure is causing him to forget/tire.
In general, I feel one comprehensive way to solve this is using the Theory Of Mind idea from AI-Planning:
1. Set the goal and subgoal of what you are trying to do: Typically these are: Edit code base to add feature, Edit, the code base to add tests, Understand code base by reading/executing a test. But there could be more based on goals and intentions of the person reading the code. These goals come with a set of Actions the system is capable of.
2. Your system can generate/propose a set of actions to meet that goal. Starting with the basics. LLMs could be used to generate "ideas" based on the goals which could be converted to a formal plan which could then be presented to a human in NL [1]. These plans could be just steps based on call graphs at first(very deterministic). But it could also mean that changes could affect other functionalities that you previously understood and now the understanding is obsolete because of those changes. Implementing an Agent that knows what you know and doing it well is a Theory of Min(ToM) implementation that is the holy grail of AI.
[1] https://openreview.net/pdf?id=Th8JPEmH4z