Generating code is one part of an AI coding task. Preparing context, reviewing instructions, checking the result, and updating the original issue are part of the work too.
I’m building Coreaven to keep those steps connected for .NET projects.
The workflow
- Create a task or import an issue/card from Jira or Trello.
- Generate a prompt using repository context from Codebase Brain, Coreaven’s Roslyn-based .NET code index.
- Review and edit the prompt and acceptance criteria before starting execution.
- Run your coding agent through a Windows Runner in your environment, using your own agent account. Coding happens in an isolated Git worktree.
- Follow live execution progress.
- Inspect the diff, restore/build/test results, and evidence associated with the acceptance criteria.
- Review the resulting GitHub PR before deciding whether to merge.
- Send the result summary and PR link back to the original Jira issue or Trello card.
Importing an issue does not automatically start coding. You review the prompt and choose when to run the agent.
Try a small task
Setup currently requires connecting GitHub, installing the Windows Runner, and authenticating your coding agent. I’m happy to help developers through setup and a first task.
Have a small task in an existing .NET repository? Let’s try the workflow together.
What information do you need alongside an AI-generated PR to make reviewing it easier?
Disclosure: I’m the developer behind Coreaven. This article was drafted with AI assistance.
Top comments (0)