Cursor Adoption

You've paid for Cursor licenses. Are they delivering ROI?

Cursor reports seats and prompts. Hivel measures whether those licenses ship code, accelerate delivery, and earn the spend. Adoption depth, code impact, and engineering outcomes in one view.

From license spend to engineering outcome, in one view.

See real Cursor usage, not just licenses

Every Cursor user segmented into Power, Regular, Occasional, and Inactive cohorts. Spot adoption gaps that signal trust, complexity, or onboarding issues. Take targeted action where it moves the rollout.

Measure AI code shipped, not just code suggested

Compare AI-generated and human-written code from merged PRs. See whether Cursor is accelerating delivery or just filling minor gaps. The production-level signal Cursor's vendor dashboard cannot give you.

Know which models work, and where AI helps most

See which Cursor models your developers actually choose and which languages benefit most from AI assistance. Align spend with what your team uses, not what the contract listed.

Connect Cursor adoption to engineering outcomes

Correlate Cursor adoption with deployment frequency, MTTR, and cycle time. See whether AI usage improves velocity and resilience for the teams that adopt it. The proof your board is waiting for.

Four tabs. Every angle on engineering effort.

Cohort drill-down

Click any cohort to see exactly who's in it: developer name, team, and Cursor usage percentage.

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AI champions and gaps

Surface power users to share best practices. Identify developers needing training. Build adoption culture with data, not anecdote.

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Team comparison

AI Code % per team alongside cycle time and hotfix rate. Sort to prioritize where enablement investment goes next.

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Adoption over time

Track whether your power-user cohort is growing or inactive seats are holding steady. Renewal readiness signal in one chart.

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Hivel × Freshworks Case Study Card
Freshworks NASDAQ: FRSH

How Freshworks measured AI impact across 1,500 engineers — in real time

The Challenge

No standard way to measure AI adoption across 1,500 engineers
Couldn't tell which AI tools were helping vs just running
Surveys were the only answer — slow, expensive, inaccurate
1,500+ Engineers · AI ROI Measurement · NASDAQ: FRSH
40% Increase in engineering throughput
50% Reduction in rework and maintenance
25% More features released in key business units
10% Improvement in time-to-market
Hivel × Freshworks Case Study Card
Freshworks NASDAQ: FRSH

How Freshworks measured AI impact across 1,500 engineers — in real time

The Challenge

No standard way to measure AI adoption across 1,500 engineers
Couldn't tell which AI tools were helping vs just running
Surveys were the only answer — slow, expensive, inaccurate
1,500+ Engineers · AI ROI Measurement · NASDAQ: FRSH
40% Increase in engineering throughput
50% Reduction in rework and maintenance
25% More features released in key business units
10% Improvement in time-to-market

Frequently asked questions

How is Hivel different from Cursor's built-in analytics dashboard?

Cursor reports IDE activity: sessions, prompts, tab acceptances. Hivel connects that to merged code, delivery metrics, and engineering outcomes. The link from license usage to production impact is what your renewal conversation actually needs.

How does Hivel measure AI-generated vs human-written code?

Code Telemetry classifies AI-generated vs human-written code from merged PR diffs. Tool-agnostic, with no IDE log dependency. Whether the code came from Cursor, Copilot, or Claude, Hivel captures the AI contribution at the production level.

Why might Hivel show lower Cursor usage than the Cursor dashboard?

Cursor counts suggestions accepted and prompts sent. Hivel counts AI code that merged to production. Suggestions accepted in the IDE but rewritten before merge don't appear in Hivel's production figure.

Trusted by 1000+ Engineering Teams

Vaibhav Bansal
V.P. Engineering
"Hivel has been phenomenal in helping us present our progress to leadership. Its insights into leading indicators have empowered our team leads to enhance review efficiency and ship features faster. Now, we are able to show the impact of our process changes, clearly identify areas of opportunity, and bring in a data-driven culture without spending time pulling manual reports."
Murali Swaminathan
Chief Technology Officer
"We were looking for a unique solution to understand engineering productivity and efficiency, with a single tool that could give leaders complete visibility. We evaluated other comparable tools, but none were comprehensive enough. When we came across Hivel, it checked all the boxes for measuring developer productivity across both AI and non-AI workflows."
Derek Mackie
Director of Engineering
"Using Hivel shone a light on the non-standard aspects of our work, emphasizing the need for crucial adjustments. The insights from Hivel helped us recognize areas for improvement, particularly in managing cycle times and streamlining development workflows. This guidance has been instrumental in our efforts to enhance operational efficiency and productivity."
Leonardo Pinheiro Ferrari
Chief Technology Officer
"Thanks to Hivel, we've seen a staggering 157% improvement in our deployment frequency. By identifying and addressing inefficiencies, and adopting best practices, we've significantly accelerated our progress. Hivel has been instrumental in our journey to operational excellence."
Chris Callander
Senior Engineering Manager
"Hivel has been instrumental in identifying areas for enhancement and guiding our strategic improvements. It has significantly contributed to our journey toward greater operational efficiency. The Activity and Dev360 features in Hivel have been particularly valuable for providing feedback to engineers during 1-1's, enhancing our communication and development practices."
Shiro Theuri
Chief Technology Officer
"Before Hivel, understanding our engineering team's dynamics was a game of guesswork. Now, with Hivel's clear dashboards and insights, our leaders have the clarity and time-saving tools they need to excel. It's been transformative in streamlining our operations."
Koti Reddy
Chief Technology Officer
"Incorporating Hivel into our daily operations has been a game-changer. It's not just a tool; it's a part of our strategic decision-making process, trusted by our leaders at every level. The impact on our engineering efficiency is undeniable and deeply valued."
Manoj Awasthi
Chief Technology Officer
"It has been great to partner with Hivel to get access to insights that help leaders at all levels gain visibility into bottlenecks and challenges that the teams face, build actionable plan to resolve them and track the progress over time. And thanks for the fantastic support!"
Ameen M
Engineering Manager
"Hivel has made a huge difference to how I manage my teams. Before every one-on-one or appraisal, I rely on it to dive into developer metrics and drive truly meaningful conversations. It helps me spot rework patterns, reward high performers, and benchmark our teams even against our US counterparts. The dashboards are intuitive, insightful, and honestly far more actionable than anything we get from Jira."
Paras Sood
Associate Director
"Hivel's insights have been pivotal in refining our engineering processes, elevating both efficiency and the developer experience. We're now making smarter decisions, faster, thanks to Hivel."
Vaibhav Bansal
V.P. Engineering
"Hivel has been phenomenal in helping us present our progress to leadership. Its insights into leading indicators have empowered our team leads to enhance review efficiency and ship features faster. Now, we are able to show the impact of our process changes, clearly identify areas of opportunity, and bring in a data-driven culture without spending time pulling manual reports."
Murali Swaminathan
Chief Technology Officer
“We were looking for a unique solution to understand engineering productivity and efficiency, with a single tool that could give leaders complete visibility. We evaluated other comparable tools, but none were comprehensive enough. When we came across Hivel, it checked all the boxes for measuring developer productivity across both AI and non-AI workflows.”
Vaibhav Bansal
V.P. Engineering
"Hivel has been phenomenal in helping us present our progress to leadership. Its insights into leading indicators have empowered our team leads to enhance review efficiency and ship features faster. Now, we are able to show the impact of our process changes, clearly identify areas of opportunity, and bring in a data-driven culture without spending time pulling manual reports."
Derek Mackie
Director of Engineering
"Using Hivel shone a light on the non-standard aspects of our work, emphasizing the need for crucial adjustments. The insights from Hivel helped us recognize areas for improvement, particularly in managing cycle times and streamlining development workflows. This guidance has been instrumental in our efforts to enhance operational efficiency and productivity."
Leonardo Pinheiro Ferrari
Chief Technology Officer
"Thanks to Hivel, we've seen a staggering 157% improvement in our deployment frequency. By identifying and addressing inefficiencies, and adopting best practices, we've significantly accelerated our progress. Hivel has been instrumental in our journey to operational excellence."

"The only tool our entire leadership team actually trusts"

- CTO, Enterprise
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