Standard tools mislabeled 1 in 5 reviews. By routing tasks to specialized models, the system now delivers trusted, nuanced insights.
A New Zealand-based analytics platform helps engineering leaders improve team performance by integrating data from tools like GitHub, Linear, and Jira.
Customers needed to measure the quality rather than just the quantity of code reviews, but traditional NLP methods failed to capture nuance. These...
“We’ve always measured code review activity by the number of reviews or comments, but our customers wanted insight into the quality of those reviews.”
Engineering intelligence platform for developer productivity and team wellbeing.
Cloud computing platform and on-demand infrastructure services.
Related implementations across industries and use cases
Code reviews delayed releases while early AI hallucinated. Claude now validates logic to catch subtle bugs with one-click fixes.
AI coding tools outpaced manual review. Reasoning models now audit complex logic, cutting pull request cycles by up to 50%.
Manual reviews bottlenecked shipping. Claude now reviews code like a senior dev, cutting false positives and automating fixes.
Engineers manually correlated alerts across systems. AI agents now diagnose issues and suggest fixes, cutting recovery time by 35%.
Minor edits required days of crew coordination. Now, staff use avatars to modify dialogue and translate languages instantly.
Lab supply orders were handwritten in notebooks. Digital ordering now takes seconds, saving 30,000 hours for research annually.
Experts spent 15 minutes pulling data from scattered systems. Natural language prompts now generate detailed reports instantly.