This PR has 234 quantified lines of changes. In general, a change size of upto 200 lines is ideal for the best PR experience!
Quantification details
```
Label : Large
Size : +143 -91
Percentile : 63.4%
Total files changed: 3
Change summary by file extension:
.ts : +140 -91
.prisma : +3 -0
```
> Change counts above are quantified counts, based on the [PullRequestQuantifier customizations](https://github.com/microsoft/PullRequestQuantifier/blob/main/docs/prquantifier-yaml.md).
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](https://github.com/microsoft/PullRequestQuantifier/releases)
- 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](./docs/prquantifier-yaml.md) 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.
This PR has
234quantified lines of changes. In general, a change size of upto200lines is ideal for the best PR experience!Quantification details
``` Label : Large Size : +143 -91 Percentile : 63.4% Total files changed: 3 Change summary by file extension: .ts : +140 -91 .prisma : +3 -0 ``` > Change counts above are quantified counts, based on the [PullRequestQuantifier customizations](https://github.com/microsoft/PullRequestQuantifier/blob/main/docs/prquantifier-yaml.md).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](https://github.com/microsoft/PullRequestQuantifier/releases) - 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](./docs/prquantifier-yaml.md) 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.Was this comment helpful? :thumbsup: :ok_hand: :thumbsdown: (Email) Customize PullRequestQuantifier for this repository.