Get the full picture on your AI adoption and impact.

We'll show you exactly how AI is impacting your speed and code quality.

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AI Adoption

You rolled out AI. Now prove it's working.

Vendor dashboards report IDE activity. Hivel shows which AI tools are genuinely embedded in your engineering org, where licenses sit idle, and how much AI code reaches production.

The data your AI investment decisions should be based on.

See who's in, who's idle, and where the gaps are

Segment every developer by real usage depth — power users, occasional users, inactive seats — filterable by team and AI tool. One view, every cohort, every vendor.

Measure AI code that shipped, not suggestions that appeared

Code Telemetry classifies AI vs human-written code from merged PRs — tool-agnostic, independent of IDE logs. The only adoption signal vendor dashboards cannot give you.

Identify which teams need enablement, which are leading

AI Code % per team, paired with cycle time, release frequency, and hotfix rate. Sort by adoption to prioritize where enablement investment goes next.

Compare Copilot, Cursor, and Claude before your next renewal

Switch the same view across every AI vendor to compare depth of adoption. Decide which to expand, renegotiate, or cut — backed by your data.

Four tabs. Every angle on engineering effort.

Developer cohort drill-down

Drill into any cohort to see exactly who's in it — name, team, and AI usage percentage.

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Adoption distribution over time

Track whether power users are growing or inactive seats holding steady — week over week, month over month.

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Per-developer usage breakdown

Total LOC, AI LOC, manual LOC, and AI percentage for every developer — sortable, searchable, fully exportable.

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Tool-specific adoption depth

Dedicated screens for Copilot, Cursor, and Claude — with tool-specific signals beyond what any vendor reports.

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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

Frequently asked questions

How is the AI Impact screen different from the tool-specific Copilot or Cursor view?

Tool-specific screens pull each vendor's own IDE data — sessions, suggestion acceptance, token usage. The AI Impact screen uses Code Telemetry, which is tool-agnostic and measures AI code that actually merged. You need both for a complete picture.

What is Code Telemetry, and how does it differ from vendor metrics?

Code Telemetry classifies AI-generated vs human-written code from merged PR diffs — regardless of which tool produced it. It doesn't rely on IDE logs, so it captures AI contribution at the production level across every vendor.

Why does Hivel sometimes show lower AI usage than Copilot or Cursor dashboards?

Vendor dashboards count suggestions generated. Hivel only counts AI-written code that merged to production. Code accepted in the IDE but rewritten before merge, or unmerged PRs, won't appear in production figures.

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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