DeputyDev -- AI Powered Developer Assistant: Breaking the Code Review Logjam through Contextual AI to Boost Developer Productivity
Vishal Khare, Vijay Saini, Deepak Sharma, Anand Kumar, Ankit Rana, and Anshul Yadav

TL;DR
DeputyDev is an AI-powered code review assistant that significantly reduces review times by providing automated, contextual feedback, thereby improving developer productivity and streamlining the software development process.
Contribution
This paper introduces DeputyDev, a novel AI-driven tool for automated, contextual code reviews, demonstrating its effectiveness through controlled experiments and large-scale deployment.
Findings
23.09% reduction in per PR review time
40.13% reduction in per-line review duration
Effective deployment across organizations and as SaaS
Abstract
This study investigates the implementation and efficacy of DeputyDev, an AI-powered code review assistant developed to address inefficiencies in the software development process. The process of code review is highly inefficient for several reasons, such as it being a time-consuming process, inconsistent feedback, and review quality not being at par most of the time. Using our telemetry data, we observed that at TATA 1mg, pull request (PR) processing exhibits significant inefficiencies, with average pick-up and review times of 73 and 82 hours, respectively, resulting in a 6.2 day closure cycle. The review cycle was marked by prolonged iterative communication between the reviewing and submitting parties. Research from the University of California, Irvine indicates that interruptions can lead to an average of 23 minutes of lost focus, critically affecting code quality and timely delivery.…
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