Trusted Feedback, Real Engagement: How Pine scaled and strengthened their review culture
Propel’s high-signal feedback earned trust across Pine’s fast-growing engineering org, driving 85% positive reactions and better reviews.
Challenge
As Canada’s #1 online mortgage platform, Pine powers over $1B in mortgages and serves 100,000+ clients with an uncompromising focus on trust and reliability. To support that scale, Pine’s engineering team needed review feedback that matched their standards: precise, consistent, and dependable. They wanted an AI reviewer their engineers could actually trust
Approach
As engineers used it, Propel naturally learned Pine’s review culture: the tone, level of depth, and patterns the team valued most. Feedback quickly started to feel less like automation and more like collaboration: concise, relevant, and always backed by reasoning that aligned with Pine’s own engineering standards.
Propel didn’t just add another review layer; it enhanced how engineers engaged with one another,
Solution
Propel became a trusted presence in Pine’s code review process. Comments appeared only when meaningful, written with the clarity and tone engineers already used internally. Rather than ignoring automated feedback, Pine’s team started engaging with it:reacting, discussing, and implementing suggestions directly in PR threads.
This shift wasn’t about more feedback. It was about better feedback that engineers valued enough to respond to.
Results
That engagement translated into faster, cleaner reviews and higher confidence in every release. The results spoke for themselves: 85% of comments received positive reactions.
For Pine, that wasn’t just a metric, it was proof that AI code review could earn trust at scale.
