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FlutterGPT currently passes contextual code of all classes/methods referred in the current file by fetching it with Dart Analysis Server.
However, for optimisation reasons, we just limit ourselves to the code inside the current project. This could be a problem when users are using submodules or are using new versions of packages or unpopular packages not understood by the default model.****
Describe the solution that you'd like
We need a smart algorithm to figure out what context to include and not include and also assign weightage to each of them so we can shortlist or filter when running short on token limit.
Let's think of all possible cases, - including when using stateful widgets, variables, generated code, packages code etc. and how to include them.
Describe alternatives that you have considered
No response
Additional Information
No response
Acceptance Criteria
After thorough discussion and once approved by everyone in the team, then only we will start to implement.
The text was updated successfully, but these errors were encountered:
Is your feature request related to a problem?
FlutterGPT currently passes contextual code of all classes/methods referred in the current file by fetching it with Dart Analysis Server.
However, for optimisation reasons, we just limit ourselves to the code inside the current project. This could be a problem when users are using submodules or are using new versions of packages or unpopular packages not understood by the default model.****
Describe the solution that you'd like
We need a smart algorithm to figure out what context to include and not include and also assign weightage to each of them so we can shortlist or filter when running short on token limit.
Let's think of all possible cases, - including when using stateful widgets, variables, generated code, packages code etc. and how to include them.
Describe alternatives that you have considered
No response
Additional Information
No response
Acceptance Criteria
After thorough discussion and once approved by everyone in the team, then only we will start to implement.
The text was updated successfully, but these errors were encountered: