AI Code Telemetry (ACT)

See how much AI code you really ship.

Vendor dashboards inflate adoption numbers with activity that never reaches production. ACT measures AI-generated code that survives review and merges, so you can prove real adoption, impact, and ROI.

From activity to shipped code to financial impact.

Measure AI code that survives review and reaches merge

ACT tracks AI-generated code from merged PRs, not IDE acceptance. It captures contributions from Copilot, Cursor, Claude, ChatGPT, Gemini, and any pasted code, so adoption reflects what shipped, not what was clicked.

Catch AI code from chat tools, plugins, and pastes

Code pasted from ChatGPT or Claude rarely shows up in vendor adoption reports. ACT identifies AI-pasted code regardless of source. The complete picture, including the tools you didn't even know your teams were using.

Tie AI usage to speed, quality, and throughput

Connect merged AI code to cycle time, deployment frequency, and rework. See where AI accelerates delivery and where the rework load slows it. Surface power-user patterns to coach the rest of the org.

Quantify delivered value, not activity volume

ACT translates merged AI code into dollar value: cost reduced, velocity gained, productivity lifted. Plan AI budget on outcomes your finance team can audit, not on adoption counters that don't survive scrutiny.

Four tabs. Every angle on engineering effort.

Tool-agnostic detection

Catches AI code from any source: Copilot, Cursor, Claude, ChatGPT, Gemini, plus code pasted from chat or generated externally.

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Confidence scoring

Every AI classification carries a confidence score. Finance and engineering know the strength of the signal behind every reported number.

Power-user patterns

Identify developers extracting the most value from AI. Surface their patterns and languages so the rest of the org can replicate.

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Adoption baseline

A one-time ACT Adoption Report gives finance, engineering, and procurement a shared, defensible starting point for every renewal conversation.

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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 does ACT detect AI code from chat tools?

ACT analyzes merged PR diffs for signals that distinguish AI-generated code from human-written code. These signals are independent of IDE plugins, so code pasted from ChatGPT, Claude, or Gemini gets classified the same way as code from Copilot or Cursor.

Why does ACT report lower AI usage than my Copilot or Cursor dashboard?

Vendor dashboards count IDE-level acceptance. ACT counts code that survived review and merged. Code accepted but later rewritten, deleted, or rejected in review never reaches the ACT number. The result reflects what shipped, not what was clicked.

How does ACT calculate financial impact?

ACT combines merged AI code volume with your team's fully-loaded engineering cost to estimate value delivered. Assumptions are transparent and configurable, so finance and engineering can agree on the methodology before the number reaches a budget conversation.

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."

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