collaborators

10 papers

cs.SE2026

Agents That Teach: Towards Designing Incidental Learning Back into AI-Assisted Software Development

Rohit Mehra, Samdyuti Suri, Prithviraj K Tagadinamani +3

AI coding agents are rapidly reshaping how software is built, with developers increasingly delegating substantial coding tasks to autonomous agents in pursuit of higher productivit…

cs.SE2026

Prompt Coach: An Empirical Evaluation of an Agentic Tutor for Learning Prompt Engineering in Software Development

Rohit Mehra, Kapil Singi, Vikrant Kaulgud +5

Prompt engineering has emerged as a critical yet undertaught skill for software developers, one that traditional learning approaches are ill-equipped to support given its evolving,…

cs.SE2026

Rethinking Build vs. Buy Decisions in Enterprise Software: Navigating Trade-offs through a Structured Decision-Support Approach

Janardan Misra, Vikrant Kaulgud, Adam Burden +1

Build-versus-buy decisions remain a persistent challenge in enterprise software development, shaped by competing strategic, technical, cost, and risk considerations. The increasing…

cs.SE2026

SEALing the Gap: A Reference Framework for LLM Inference Carbon Estimation via Multi-Benchmark Driven Embodiment

Priyavanshi Pathania, Rohit Mehra, Vibhu Saujanya Sharma +4

Large Language Models are rapidly gaining traction in software engineering, yet their growing carbon footprint raises pressing sustainability concerns. While training emissions are…

cs.SE2025

Who Wins the Race? (R Vs Python) - An Exploratory Study on Energy Consumption of Machine Learning Algorithms

Rajrupa Chattaraj, Sridhar Chimalakonda, Vibhu Saujanya Sharma +1

The utilization of Machine Learning (ML) in contemporary software systems is extensive and continually expanding. However, its usage is energy-intensive, contributing to increased…

cs.SE2025

Calculating Software's Energy Use and Carbon Emissions: A Survey of the State of Art, Challenges, and the Way Ahead

Priyavanshi Pathania, Nikhil Bamby, Rohit Mehra +5

The proliferation of software and AI comes with a hidden risk: its growing energy and carbon footprint. As concerns regarding environmental sustainability come to the forefront, un…