Code reviews are rarely slowed down by code.

They're slowed down by missing context.

Reviewers often spend more time figuring out what changed and why than actually reviewing the implementation itself.

That's why many engineering teams have started using pull request walkthrough videos. As AI adoption grows, many teams are also exploring AI pull request walkthroughs that generate these explanations automatically.

Instead of forcing reviewers to reconstruct intent from commits, diffs, and comments, the author provides a short explanation before the review begins.

In this guide, you'll learn how to create effective pull request walkthrough videos and how AI is making the process easier than ever.

1. What Is a Pull Request Walkthrough Video?

A pull request walkthrough video is a short explanation of a pull request that helps reviewers understand:

• What changed
• Why it changed
• Which areas deserve attention
• What business problem is being solved

The goal isn't to review the code.

The goal is to provide context.

Think of it as the introduction to the review process.

If you're new to the concept, start with our guide explaining what a pull request walkthrough is and why more teams are adopting them.

2. Why Create Pull Request Walkthrough Videos?

Most pull request reviews start with confusion.

Reviewers ask questions like:

• What problem is this solving?
• Which files matter most?
• What should I focus on?
• What changed for users?

A walkthrough answers these questions immediately. Walkthroughs are particularly effective in async pull request reviews, where reviewers need context without scheduling meetings.

Benefits include:

• Faster reviews
• Fewer clarification comments
• Better Product and Engineering alignment
• More useful documentation
• Reduced review fatigue

3. What to Include in a Pull Request Walkthrough Video

A good walkthrough focuses on context rather than implementation details.

Start With the Problem

Begin by explaining why the pull request exists.

For example:

"This pull request introduces a new onboarding flow to reduce drop-off during account creation."

Reviewers immediately understand the objective.

Explain the Solution

Describe how the problem was solved.

Focus on major decisions rather than every file that changed.

For example:

"We moved email verification into a separate service and simplified the registration workflow."

Show User-Facing Changes

If the pull request affects users, demonstrate the experience.

This is particularly valuable for:

• Product Managers
• Designers
• Stakeholders
• QA teams

For many organizations, walkthroughs are the easiest way for Product stakeholders to validate implementation before code is merged. Learn how Product Managers can review pull requests without reading code.

Highlight Important Review Areas

Help reviewers prioritize.

For example:

"Please pay special attention to the authentication logic because we modified the existing token flow."

This reduces review time significantly.

Mention Tradeoffs and Risks

Explain any important decisions.

Examples:

• Performance tradeoffs
• Architectural decisions
• Known limitations
• Areas planned for future improvement

Reviewers appreciate transparency.

4. Keep Walkthrough Videos Short

One of the biggest mistakes teams make is creating lengthy walkthroughs.

Most pull request walkthrough videos should be between:

• 2–3 minutes for smaller changes
• 3–5 minutes for larger features

Longer videos often become difficult to consume and review.

The goal is clarity, not completeness.

5. Pull Request Walkthrough Example

Imagine a pull request introducing a new billing dashboard.

A strong walkthrough might follow this structure:

Problem

Customers struggle to understand subscription usage.

Solution

A new dashboard was created showing usage metrics and billing forecasts.

User Impact

Customers can now see projected costs before invoices are generated.

Review Focus

Reviewers should focus on billing calculations and permissions.

The entire explanation can often be delivered in less than three minutes.

6. Common Mistakes to Avoid

Explaining Every Line of Code

Reviewers can read code themselves.

Focus on context.

Many teams attempt to solve this problem using lengthy PR descriptions, but written summaries often struggle to communicate intent. See our comparison of pull request walkthroughs vs PR descriptions.

Ignoring Business Impact

Always explain why the change matters.

Making Videos Too Long

Long walkthroughs are rarely watched completely.

Keep them concise.

Forgetting Non-Technical Stakeholders

Many pull requests involve Product Managers, QA, and designers.

Explain changes in language they can understand.

7. Manual vs AI-Generated Pull Request Walkthroughs

Traditionally, engineers recorded walkthroughs themselves.

While effective, manual walkthroughs create extra work and are often skipped when deadlines are tight.

AI-generated walkthroughs automate the process.

An AI agent can:

1. Read the pull request
2. Understand the code changes
3. Generate a narrative
4. Create a walkthrough video
5. Share it with reviewers automatically

This makes walkthroughs scalable without increasing engineering workload.

8. When Should You Create a Walkthrough Video?

Walkthroughs provide the most value when:

• The pull request is large
• Multiple teams are involved
• Product stakeholders need visibility
• Significant user-facing functionality changes
• Architectural decisions require explanation

Small bug fixes may not need a walkthrough. Major features almost always benefit from one.

The added benefit is that walkthroughs can later become reusable knowledge assets. Many teams use them to turn pull requests into video documentation for onboarding and knowledge sharing.

9. The Future of Pull Request Communication

Engineering teams are producing more code than ever before.

AI-assisted development is increasing pull request volume, while reviewer capacity remains limited.

The teams that communicate changes effectively will review and ship faster than those relying solely on descriptions and comments.

Pull request walkthrough videos help bridge that gap.

And as AI agents continue to improve, generating walkthroughs automatically is likely to become a standard part of modern development workflows.

Conclusion

Creating pull request walkthrough videos is one of the simplest ways to improve review quality and reduce review cycles.

A great walkthrough:

• Explains the problem
• Shows the solution
• Highlights key decisions
• Helps reviewers focus on what matters

Whether recorded manually or generated automatically by AI, walkthroughs provide the context reviewers need to move faster.

For teams looking to scale communication without adding more meetings, they're quickly becoming an essential part of the development workflow.