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Currently the GPT Pilot Workflow is linear and does not resemble how a real-world project is run:
I'd like to see integration with issue and project management tools such as Jira and GitHub Issues/Projects.
I'd also like to be able to make simple edits, or add new features. I think the flow would look something like this:
(edit: see updated architectural plan in #91)
The text was updated successfully, but these errors were encountered:
I'd also like to see the interaction between the PO and TechLead be fleshing out BDD scenarios.
The user stories often already follow the "As a {role}, I want {feature} so that {reason}".
If the stories were given BDD scenarios, we could have a Test Automation Engineer run them using Cucumber etc.
Given user with ... And data: {} And environment is set up: {} When something happens Then make assertions
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Note that if we can call the CodeMonkey directly from the first prompt, then Auto-GPT/agbenchmark (#73) can score for Read/WriteFile
WIP - https://github.com/nalbion/gpt-pilot/blob/feature/github_integration/pilot/helpers/story_manager/github_issues.py
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Currently the GPT Pilot Workflow is linear and does not resemble how a real-world project is run:
I'd like to see integration with issue and project management tools such as Jira and GitHub Issues/Projects.
I'd also like to be able to make simple edits, or add new features. I think the flow would look something like this:
(edit: see updated architectural plan in #91)
The text was updated successfully, but these errors were encountered: