Below are recent and selected publications. Award-winning papers are noted inline; see Talks & Recognition for the complete list. For a complete and continuously updated bibliography, see DBLP.
Reading Between the Lines: Scalable User Feedback via Implicit Sentiment in Developer Prompts
Daye Nam, Malgorzata Salawa, Satish Chandra. NIER @ ICSE 2026, pp. 11–15. NIER 2026 Distinguished Paper Award
RubberDuckBench: A Benchmark for AI Coding Assistants
Ferida Mohammad, Fatma Ayad, Petros Maniatis, Satish Chandra, Elizabeth Dinella. LLM4Code, 2026.
Achieving Productivity Gains with AI-based IDE Features: A Journey at Google
Maxim Tabachnyk, Xu Shu, Alexander Frömmgen, Pavel Sychev, Vahid Meimand, Ilia Krets, Stanislav Pyatykh, Abner Araujo, Kristóf Molnár, Satish Chandra. LLM4Code, 2026. Best Paper Award, LLM4Code 2026
Wink: Recovering from Misbehaviors in Coding Agents
Rahul Nanda, Chandra Maddila, Smriti Jha, Euna Mehnaz Khan, Matteo Paltenghi, Satish Chandra. AIWare, 2026.
Agentic Code Reasoning
Shubham Ugare, Satish Chandra. CoRR, 2026.
Towards Verified Code Reasoning by LLMs
Meghana Sistla, Gogul Balakrishnan, Pat Rondon, José P. Cambronero, Michele Tufano, and Satish Chandra. PAgE, 2026
REAP: Automatic Curation of Coding Agent Benchmarks from Interactive Production Usage
Smriti Jha, Matteo Paltenghi, Chandra Maddila, Vijayaraghavan Murali, Shubham Ugare, Satish Chandra. ASE Industry Showcase, 2026.
Customizing an LLM for Enterprise Software Engineering
Aditya Kini, Satish Chandra, Milad Hashemi, Saksham Thakur, Aditya Pandey, Vincent Nguyen, Marc Brockschmidt, Franjo Ivancic, Danny Tarlow, Parthasarathy Ranganathan, Petros Maniatis, Ahmed Omran, Zaheer Abbas, Anita Gergely, Martin Sevenich, Gufeng Zhang, Amy Hua, Alexander Frömmgen. ASE Industry Showcase, 2026.
AfterVibe: What Remains When the Conversation Ends
Matteo Paltenghi, Satish Chandra. CoRR, 2026.
Evaluating Agent-Based Program Repair at Google
Pat Rondon, Renyao Wei, José Cambronero, Jürgen Cito, Aaron Sun, Siddhant Sanyam, Michele Tufano, Satish Chandra. SEIP @ ICSE 2025, pp. 365–376.
How is Google Using AI for Internal Code Migrations?
Stoyan Nikolov, Daniele Codecasa, Anna Sjövall, Maxim Tabachnyk, Satish Chandra, Siddharth Taneja, Celal Ziftci. SEIP @ ICSE 2025, pp. 481–492.
How Much Does AI Impact Development Speed? An Enterprise-Based Randomized Controlled Trial
Elise Paradis, Kate Grey, Quinn Madison, Daye Nam, Andrew Macvean, Vahid Meimand, Nan Zhang, Benjamin Ferrari-Church, Satish Chandra. SEIP @ ICSE 2025, pp. 618–629.
Natural Language Outlines for Code: Literate Programming in the LLM Era
Kensen Shi et al., Satish Chandra, Charles Sutton. SIGSOFT FSE Companion 2025, pp. 150–161.
TypeWriter: Neural Type Prediction with Search-Based Validation
Michael Pradel, Jason Liu, Georgios Gousios, Satish Chandra. ESEC/FSE 2020.
Getafix: Learning to Fix Bugs Automatically
Johannes Bader, Andrew Scott, Michael Pradel, Satish Chandra. OOPSLA 2019.
Aroma: Code Recommendation via Structural Code Search
Sifei Luan, Di Yang, Celeste Barnaby, Koushik Sen, Satish Chandra. OOPSLA 2019. ACM SIGPLAN Distinguished Paper Award
Predictive Test Selection
Mateusz Machalica, Alex Samylkin, Meredith Porth, Satish Chandra. ICSE-SEIP 2019.
SemFix: Program Repair via Semantic Analysis
Hoang Duong Thien Nguyen, Dawei Qi, Abhik Roychoudhury, Satish Chandra. ICSE 2013. ICSE Most Influential Paper Award, 2023
Angelic Debugging
Satish Chandra, Emina Torlak, Shaon Barman, Rastislav Bodik. ICSE 2011.
Effective Interprocedural Resource Leak Detection
Emina Torlak, Satish Chandra. ICSE 2010.
Searching for Points-to Analysis
Glenn Bruns, Satish Chandra. FSE 2002.
For the complete publication record, including workshop papers, journal articles, and preprints, see DBLP or Google Scholar.