How to Write Better PR Descriptions with AI
Stop writing "fixed bug" or "updated code". Learn how AI-powered PR descriptions can transform your code review process and help your team understand changes faster.
Bad PR
"Fixed bug"
- No context
- No explanation
- No impact info
Reviewer confused
Takes hours to review
AI-Powered PR
Comprehensive Story
- Clear intent
- Impact explained
- Timeline included
Reviewer understands
Reviews in minutes
The Problem with Traditional PR Descriptions
We've all seen them—PR descriptions that say "fixed bug" or "updated code" or worse, nothing at all. These descriptions force reviewers to spend hours digging through diffs, trying to understand what changed and why. The result? Slower reviews, missed issues, and frustrated teams.
Common PR Description Mistakes:
Too Vague
"Fixed bug" tells reviewers nothing about what was fixed or why
Missing Context
No explanation of the problem being solved or the approach taken
No Impact Analysis
Reviewers can't tell if this change affects other parts of the system
No Testing Info
Unclear what was tested or how to verify the changes work
How AI Transforms PR Descriptions
Rvue's AI-powered PR story generation analyzes your code changes semantically and automatically generates comprehensive descriptions that explain:
The Why
Understand the intent behind changes. Why was this refactoring necessary? What problem does this feature solve?
The Impact
See how changes affect the codebase. Which files are impacted? Are there breaking changes?
The Timeline
Follow the evolution of the PR through commits. See how the solution developed over time.
The Story
Get a human-readable narrative that anyone on your team can understand, regardless of technical level.
Real Example: Before and After
Before: Traditional PR Description
Title: "Fix authentication bug"
Description: "Fixed bug"
❌ Reviewers have no idea what was fixed, why it broke, or how to verify the fix.
After: AI-Generated PR Story
Title: "Refactor authentication system"
Problem: Session-based authentication was causing memory leaks in high-traffic scenarios.
Solution: Migrated to JWT token-based authentication with automatic token refresh.
Impact: Affects 5 files: auth middleware, session store, login endpoint, token utilities, and migration script.
Testing: Added integration tests for token refresh flow and verified backward compatibility.
✅ Reviewers understand the problem, solution, and impact immediately.
Best Practices for PR Descriptions
Explain the Problem
What issue does this solve?
Describe the Solution
How did you approach it?
Highlight Impact
What files are affected?
Include Testing Info
How was this tested?
Show the Timeline
How did this evolve?
AI Auto-Generates
All of This
How Rvue Generates PR Stories
Semantic Analysis
Rvue's AI analyzes your code changes semantically, understanding the structure, relationships, and intent behind modifications.
Intent Grouping
Related changes across multiple files are grouped together, creating a coherent narrative of what changed and why.
Story Generation
The AI generates a human-readable story that explains the problem, solution, impact, and timeline in clear, understandable language.
Benefits for Your Team
Faster Reviews
Reviewers understand changes immediately, reducing review time by up to 40%.
Better Quality
Clear descriptions help reviewers catch issues they might have missed otherwise.
Improved Collaboration
Everyone understands PRs the same way, leading to better discussions and decisions.
Knowledge Sharing
PR stories serve as documentation, helping new team members understand codebase changes.