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Add /refresh command and handle command typo more smartly #101

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merged 2 commits into from
Mar 27, 2024

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@daxian-dbw daxian-dbw commented Mar 27, 2024

PR Summary

  1. Add the /refresh command to start a new chat session. The command will call the interface method RefreshChat on the active agent. From the user's view, they will see the screen buffer is cleared, and the landing page shows up again. This is to mimic the "new chat" behavior in Edge Copilot and Windows Copilot -- when clicking "new chat", it goes back to landing page and waits for input.

  2. It's more than often for a user to type a command without the / prefix (typo by mistake). Made some changes to capture that and ask if the user actually meant to run the command. If the user confirms, then we run the command, otherwise, continue to chat with AI with that input.

This PR has 87 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!


Quantification details

Label      : Small
Size       : +65 -22
Percentile : 34.8%

Total files changed: 13

Change summary by file extension:
.cs : +62 -19
.csproj : +3 -3

Change counts above are quantified counts, based on the PullRequestQuantifier customizations.

Why proper sizing of changes matters

Optimal pull request sizes drive a better predictable PR flow as they strike a
balance between between PR complexity and PR review overhead. PRs within the
optimal size (typical small, or medium sized PRs) mean:

  • Fast and predictable releases to production:
    • Optimal size changes are more likely to be reviewed faster with fewer
      iterations.
    • Similarity in low PR complexity drives similar review times.
  • Review quality is likely higher as complexity is lower:
    • Bugs are more likely to be detected.
    • Code inconsistencies are more likely to be detected.
  • Knowledge sharing is improved within the participants:
    • Small portions can be assimilated better.
  • Better engineering practices are exercised:
    • Solving big problems by dividing them in well contained, smaller problems.
    • Exercising separation of concerns within the code changes.

What can I do to optimize my changes

  • Use the PullRequestQuantifier to quantify your PR accurately
    • Create a context profile for your repo using the context generator
    • Exclude files that are not necessary to be reviewed or do not increase the review complexity. Example: Autogenerated code, docs, project IDE setting files, binaries, etc. Check out the Excluded section from your prquantifier.yaml context profile.
    • Understand your typical change complexity, drive towards the desired complexity by adjusting the label mapping in your prquantifier.yaml context profile.
    • Only use the labels that matter to you, see context specification to customize your prquantifier.yaml context profile.
  • Change your engineering behaviors
    • For PRs that fall outside of the desired spectrum, review the details and check if:
      • Your PR could be split in smaller, self-contained PRs instead
      • Your PR only solves one particular issue. (For example, don't refactor and code new features in the same PR).

How to interpret the change counts in git diff output

  • One line was added: +1 -0
  • One line was deleted: +0 -1
  • One line was modified: +1 -1 (git diff doesn't know about modified, it will
    interpret that line like one addition plus one deletion)
  • Change percentiles: Change characteristics (addition, deletion, modification)
    of this PR in relation to all other PRs within the repository.


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@daxian-dbw daxian-dbw merged commit 2eeb211 into PowerShell:main Mar 27, 2024
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@daxian-dbw daxian-dbw deleted the refresh branch March 27, 2024 05:27
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