What should a code review focus on?

Human reviewers should look at business logic, potential edge cases, and high risk areas like authentication or payments. Style nitpicking and bikeshedding are better left to automated linters and static analysis.

How can we speed up code reviews?

You can make pull requests smaller so reviewers do not have to look through dozens of files at once. Making reviews a daily habit rather than a massive block session at the end of a sprint also keeps developers unblocked.

How can AI help with code reviews?

AI tools are useful for an initial first pass to catch obvious errors and summarize changes before a human ever looks at the code. This allows your team to spend their time on higher level concerns and complex issues.

How do you handle a team that views code reviews as a chore?

You need to build a culture of quality where development is treated as a team activity. Use reviews as a path for mentorship for new developers to help them see the value in preventing bugs and maintaining code health.

How to Improve Your Team Code Review Process

According to users, you can fix your team code review process by making pull requests smaller and focusing on daily habits instead of batch sessions. Automated tools and linters should handle style rules while humans focus on business logic.

Changing the culture from viewing reviews as a chore to an opportunity for mentorship will improve overall code health.

high risk review areas

Authentication Give these areas deep human review.
Payments Mistakes here are costly so look closely.
State transitions Check for nuanced logic issues.
Concurrency Look for potential bugs automated tools might miss.

How to Improve Your Team Code Review Process — infographic

Improving your team's code review process involves addressing bottlenecks, fostering a culture of quality, and leveraging tools effectively. Prioritize smaller, more frequent pull requests (PRs) and clearly define review scope to streamline the process.

Streamline Review Process

Keep PRs small and focused: Break down large tasks into smaller, manageable PRs to make reviews quicker and more effective. "Make your PRs smaller. Nobody wants to look through dozens of files of changes."

Define clear review guidelines: Establish what aspects reviewers should focus on (e.g., business logic, architecture, security) to avoid nitpicking and ensure consistency. "Nitpicking and bikeshedding should be done by static analysis and linters. Only review business logic and potential edgecase bugs."

Set review SLAs: Implement service level agreements for review times to prevent PRs from sitting unreviewed for extended periods and unblock developers. "The bigger lever is making it a daily habit rather than a block review session at the end of a sprint."

Leverage Automation and AI

Utilize AI for initial passes: Employ AI tools to handle initial code analysis, catch obvious errors, and summarize changes, allowing human reviewers to focus on higher-level concerns. "CI runs, an AI bot does a first pass comment dump, then a human approval is required..."

Automate style and basic checks: Use linters and static analysis tools to enforce coding standards and catch common mistakes, reducing the need for human reviewers to address these issues. "Nitpicking and bikeshedding should be done by static analysis and linters."

Focus human review on critical areas: Direct human attention to high-risk areas like authentication, data handling, and concurrency, where AI might miss nuanced issues. "Authentication, payments, state transitions, concurrency get deep review."

Foster a Culture of Quality and Collaboration

Promote shared ownership: Encourage all team members to take responsibility for code quality and actively participate in reviews. "As developers , we love to be productive... Development is a team activity."

Encourage learning and mentorship: View code reviews as opportunities for knowledge sharing and skill development, especially for less experienced developers. "Code reviews are also one path for mentorship of new or young devs."

Address cultural resistance: If code reviews are seen as a chore, work to change this perception by highlighting their value in preventing bugs and maintaining code health. "It sounds like there is no culture of quality, like people consider reviews a chore to rush through so they can get back to the "real work"."

Are you looking to implement AI tools specifically to assist with your code review process?