How Fable found a reviewer they could trust: consistent, clear, and actually helpful
With Propel’s AI code reviewer, Fable turned noisy reviews into high-signal feedback that keeps quality high and releases on track.
Challenge
Fable’s engineers had tried several automated review tools in search of something that could match their quality bar. Each promised efficiency, but most added noise; they surfaced irrelevant or low-priority comments that distracted from real issues.
The team wanted a reviewer they could actually trust: one that delivered precise, contextual feedback worth reading.
Approach
After trying several tools, Fable’s engineers were cautious about bringing another reviewer into their workflow.
Propel earned their trust quickly. The feedback felt intentional, grounded, and actually helpful. Engineers started treating Propel’s comments as signal, not background noise.
Solution
Propel quickly became part of Fable’s trusted review process. Comments appeared only when relevant and always included clear reasoning that made them easy to act on.
- Comments land automatically in PR threads with rationale and remediation.
- Fewer comments, but each one worth attention
Results
Propel became the reviewer Fable trusted most. Engineers could move faster and think deeper, confident that every comment served a purpose.
It wasn’t just faster review, it was better review.
