I find Hivel incredibly helpful for tracking code review metrics and understanding the improvement in code quality over time. It offers me insightful dashboards that clearly show which employees are actively participating in code reviews and pushing changes as expected. This feature helps me ensure the team stays engaged and productive. More so, Hivel provides valuable analysis, allowing me to detect if team members are spending too much time on reworks, highlighting areas where code quality may need improvement. The AI-enabled code reviews are particularly impressive; while they may not always be flawless, they have proven to be a standout feature by offering firsthand reviews of PRs. This helps in giving constructive feedback to the team, either to encourage improvement where needed or to acknowledge exemplary performance. The overall setup and navigation of Hivel was also straightforward and intuitive, which made the onboarding process smooth for my team.
I appreciate how Hivel centralizes our data, providing everything in one convenient place, which allows my team to have a real-time view of engineering metrics. What stands out is how it helps us track what is on schedule and what is lagging, along with the reasons behind any delays, enabling us to make smarter, data-informed decisions. I absolutely love the AI features Hivel offers. The detailed data on the volume of AI-generated code we deliver is exceptionally insightful, and it has transformed our understanding of AI's role in our workflow. We initially presumed AI was just accelerating our coding process, but the data revealed the need for additional code quality supervision due to increased rework. Furthermore, Hivel facilitates better usage of AI models across our teams, allowing us to identify which tools fit best. This knowledge-sharing enhancement has driven us to conduct regular sessions where more experienced users elevate the proficiency of others, aiding in skill dissemination greatly. The seamless integration with existing tools like GitHub, JIRA, and Cursor also adds to its utility, streamlining our operations significantly. I find this integration essential because it allows Hivel to fit smoothly into our pre-existing infrastructure, minimizing disruptions as we adopt new insights and functionalities.
Hivel does a great job of extrapolating the DORA metrics, with the ability to really double-click into each of them for deeper insights. I also see strong value in the AI adoption capabilities—especially given that many companies are currently navigating AI transformation. Hivel’s approach can significantly help drive efficiency improvements across the board.
Hivel is a Software Intelligence Platform providing engineering leaders with actionable insights from Dev Tools, empowering them to unlock their organization's full potential. These insights foster high-velocity teams, which in turn significantly boost business impact. Hivel focuses on team-based, outcome-driven metrics by correlating the data across tools engineers use daily - Git (BitBucket, GitHub, GitLab), JIRA, and CI/CD tools, avoiding the need for any manual input by the engineers.