How to Write the Perfect Pull Request (based on thousands of PRs analyzed)

Sergio Rivadeneira — Fri, 25 Apr 2025 19:49:15 +0000

Discover the best practices for crafting a clear, efficient, and easy-to-review Pull Request. Learn from thousands of PRs processed by artificial intelligence and level up your code-review workflow.

The Art of a Great Pull Request A Pull Request (PR) is more than a technical step—it’s a communication channel between developers. A well-structured PR can speed up the development cycle, boost software quality, and cut production bugs and technical debt. At Blar we’ve analyzed 10,000+ PRs with AI-powered review agents and identified the patterns that turn an average PR into an exceptional one.

1. Review It Yourself First 🔍
Sounds obvious, right? Yet most people skip this step!

Before asking teammates for feedback, spend a few minutes reading your own PR with a critical eye:

• Confirm the changes do exactly what the title/description claim.

• Remove dead code, outdated comments, and stray files.

• Ensure the description and commits tell a coherent story. Any issue you catch now saves time for your reviewer (and your ego 😅).

2. Size Matters: Less Is More
One of the most overlooked rules is keeping PRs small and focused. PRs that lump unrelated changes together:

• Are harder to review.

• Carry a higher risk of bugs.

• Trigger confusing discussions.

Blar Tip: Use Blar’s impact-and-size labels to encourage small, low-impact PRs.

3. Your PR Description Is Your Business Card ✈️
A solid description answers four questions:

1.What problem does it solve?

2.How is it solved?

3.What risks does it introduce?

4.How can it be tested?

Teams that excel with Blar rely on automated templates validated at PR creation—clarity upfront, faster reviews later.

Blar Tip: Blar also scans your migration files so nasty surprises never sneak in.

4. Explain What Isn’t Obvious (but Not Everything)
Code should be self-explanatory… until it isn’t. When you make a decision another dev might question, leave a brief comment explaining why.

For example: “This pattern looks odd, but it prevents a bug we saw in production.”

The Blar Learning System ingests these notes and applies them to future suggestions.

5. Don’t Break the Build: Add Tests
A PR that fails tests wastes everyone’s time.

Make sure to:

• Include relevant unit tests.

• Check the build in your CI.

• Consider E2E tests for critical changes.

Blar Tip: When our agents detect new functions without tests, they fire an automatic alert.

6. Review Is a Team Sport
A great PR isn’t just clean code—it’s mindset:

• Welcome feedback openly.

• Engage in the technical conversation.

• Don’t take comments personally.

With a healthy review culture, teams grow in both quality and speed.

What We Learned After Reviewing 10,000+ PRs Our AI spotted patterns that impact PR quality:
• Large PRs take 4–5× longer to merge.

• Incomplete descriptions raise post-merge bug rates.

• PRs with well-contextualized comments get accepted faster.

These insights are already baked into Blar, so continuous improvement happens by default.

Ready to Level Up Your Pull Requests Effortlessly?

With Blar you can:

• Auto-detect issues in every PR.

• Teach the AI how your team thinks.

• Cut review time without sacrificing quality.

Start your 14-day free trial today. Your team (and your CI) will thank you! 😉

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DEV Community: Sergio Rivadeneira

How to Write the Perfect Pull Request (based on thousands of PRs analyzed)