Our Blog

Insights, research findings, and thoughts from the SustAInd team on sustainable AI, green software architecture, and the future of responsible technology.

Small AI models can't always fix your code. Here's why that's interesting.

A deep dive into SWEnergy (ICSE 2026): why small local models fail on autonomous issue resolution today, and what needs to change in frameworks.

Arihant TripathyMar 13, 202612 min read

When ML Systems Age Like a City: A Simple Way to Think About Technical Sustainability in the Agentic Era

An analogy comparing software system aging to fast-growing cities, exploring why technical sustainability is crucial in the era of AI and agentic coding.

Chandrasekar SFeb 24, 20268 min read

Watts the Cost? Tracking My Mac's Power Draw During LLM Inference

A personal journey of measuring the invisible energy cost of running LLMs locally, from debugging powermetrics to building a carbon tracking dashboard.

Aneetta Sara ShanyJan 23, 20268 min read

Wait, How Much Does That AI Agent Actually Cost?

A candid conversation on the launch of Project SustAInd between two Junior Research Fellows, Aneetta and Chandrasekar, at the Software Engineering Research Center (SERC) Lab, IIIT Hyderabad.

Aneetta Sara Shany & Chandrasekar SDec 5, 20255 min read

Enhancing Sustainability of Modern Software Systems through Self-adaptive Architectures

Dr. Karthik Vaidhyanathan explains the concept of software sustainability and how his group's research on self-adaptation is contributing towards greener and sustainable software.

Dr. Karthik VaidhyanathanJan 17, 202510 min read