Pros:
1. Early detection of regressions and linter errors: Increasing CI time allows for more comprehensive testing, leading to the early identification of potential issues in the codebase.
2. Improved code quality: By running CI frequently and for longer durations, developers have more opportunities to address any issues, resulting in cleaner and higher-quality code.
3. Reduced time-to-merge: Catching and resolving problems early in the development process helps to minimize delays and speed up the merging of code into the main branch.
4. Increased developer productivity: CI enables engineers to devote less time to manual testing and error detection, allowing them to focus on higher-level tasks, such as code review and adding new features.
Cons:
1. Longer feedback loop for developers: Increasing CI time may lead to a longer wait for feedback on their code changes, potentially slowing down development cycles.
2. Increased resource requirements: Longer CI times may place additional strain on infrastructure and resources, especially in larger development teams or complex projects.
3. Delayed detection of critical issues: If the CI process takes too long, critical bugs or regressions might go unnoticed until later stages, jeopardizing stability and impacting overall project timelines.
4. Potential for false positives: Extending CI time could increase the likelihood of false positives or irrelevant warnings, leading to wasted time and effort spent on addressing non-existent issues.
context: https://graphite.dev/blog/how-long-should-ci-take
Continuous Integration (CI) is a vital aspect of modern software development. It automates the process of detecting regressions and linter errors on each Pull Request, allowing engineers to concentrate on qualitative aspects of code review.
