One of the simplest engineering habits that dramatically improves team productivity is to

Keep the pull requests small.

It sounds obvious. Yet in many teams, pull (merge) requests regularly contain hundreds or even thousands of changed lines.

Large PRs slow down reviews, introduce more bugs, and create unnecessary friction in the development process.

Small pull requests solve most of these problems.

Let's look at why.

The Problem With Large Pull Requests

A typical large PR looks like this:

Changes:
- 2k lines modified
- 25 files changed
- feature implementation
- refactoring
- small bug fixes

When reviewers open such a PR, several things happen immediately:

• it takes a long time to understand the context (even if there's a comprehensive description)

• the reviewer gets tired halfway through

• parts of the change are reviewed superficially

• bugs slip through

Even worse, large PRs often mix multiple types of changes:

• feature implementation

• refactoring

• formatting

• dependency updates

This makes the review provess significantly harder.

What a Good Pull Request Looks Like

For example:

Changes:
- 120 lines modified
- 3 files changed
- one clearly defined change

The intention should be obvious from the title:

Add retry mechanism for payment API client

Or

Fix race condition in inventory cache refresh

A reviewer should be able to quickly answer:

• What problem does this solve?

• What changed in the code?

• Could this introduce side effects?

If the answer to these questions is clear, the PR is well srtructured.

Why Small PRs Are Better

Small pull requests bring several benefits.

Faster Reviews

Small PRs are easier to revierw, which means they get merged faster! (Time to market!)

A useful rule of thumb:

A pull request should not take more than 10-15 minutes to review.

If it does, it's probably too large ¯\_(ツ)_/¯

Better Code Quality

When changes are small:

• reviewers pay more attention

• discussions are more focused

• issues are caught earlier

Large PRs often lead to "rubber-stamp approvals" ("LGTM").

Easier Debugging

When a bug appears after deployment, smaller PRs make it mych easier to locate the cause.

Instead of searching through a massive change set, you can quickly narrow it down.

Lower Risk Deployments

Small changes mean smaller risk.

If something goes wrong:

• the rollback is easier

• the impact is limited

• the root cause is easier to identify

This is one the reasons high-performing teams deploy frequently.

Practical Tips for Keeping PRs Small

Here are a few simple habits that help.

Separate Refactoring From Features

Do not mix refactoring and features developmnet in the same PR.

Bad:

Changes:
- Add new API endpoint
- Refactor service layer

Better:

PR #1
Changes:
- Refactor service layer

PR #2
Changes:
- Add new API endpoint

Commit Early and Often

Instead of building a huge branch over several days, open PRs earlier.

Even partial work can be reviewed it it's structured well.

Read more on Release Early, Release Often in my previous article.

Split Large Changes

If a change becomes too big, split it into logical steps.

Example:

PR #1
Changes: 
- Introduce new repository interface

PR #2
Changes:
- Implement PGSQL adapter

PR #3
Changes:
- Update service to use new repository

Each step is easier to understand and review. It's atomic. The discussions are stritly focused on a subject.

A Simple Rule I Follow

If a pull request feels difficult to review, it's probably too big.

In practice, I try to keep PRs:

• up to 500 lines (under 200-300 lines is a sweet spot; the <100 is a perfect PR)

• focused on one logical change

• reviewable in under 15 minutes

• clearly described

This keeps the development flow smooth and predictable.

Article Takeaway

Small pull requests are one of the easiest improvements a team can make.

They lead to:

• faster reviews

• better feedback

• fewer bugs

• smoother deployments

And the best part is that this habit requires no new tools or processes.

Just small changes.

Sources:

• LGTM memes: https://programmerhumor.io/memes/lgtm

• Code review paradox meme: https://programmerhumor.io/git-memes/looks-good-to-me-2w1a

Cheers!