Jatin Ganhotra

I am a Senior Software Engineer at IBM Research, AI for Code, Thomas J. Watson Research Center, where I lead the development of autonomous SWE-Agents for intelligent code generation, issue resolution, and software testing.

I am the project lead and architect of iSWE-Agent, IBM Research’s software engineering agent that secured the top position on the Multi-SWE-Bench and SWE-PolyBench Java leaderboards. I also created SWE-Bench-Arena, a platform for rigorous blind evaluation of AI-generated code — assessing quality dimensions like maintainability, readability, and production readiness beyond just passing tests.

My research interests span AI-driven software engineering, conversational AI, dialog systems, and natural language processing. I have published across top-tier AI and software engineering venues, including ICML, ICSE, EMNLP, ACL, NAACL, TACL, Interspeech, and ICASSP.

I earned my M.S. in Computer Science from the University of Illinois, Urbana-Champaign and my B.Tech in Computer Engineering from the National Institute of Technology (NIT) Kurukshetra.

You can learn more about my current work here: IBM SWE Agents and iSWE-Agent.

Latest posts

Apr 05, 2026	Hidden Naming Contracts in SWE-Agent Benchmarks
Jul 26, 2025	The Visual Complexity Penalty in Code Understanding - SWE-bench Multimodal Analysis
Jun 05, 2025	From 73% to 11%: Revealing True SWE-Agent Capabilities with Discriminative Subsets
Apr 15, 2025	Cracking the Code: How Difficult Are SWE-Bench-Verified Tasks Really?
Mar 30, 2025	The Multi-File Frontier: Why SWE-Bench Verified Doesn't Reflect Real-World Programming Challenges

News

Jun 18, 2026	iSWE-Agent, IBM Research’s software engineering agent, achieved Rank #1 on the SWE-PolyBench (Verified) Python leaderboard with a `58.41%` resolution rate (66/113 resolved), surpassing the previous best from Atlassian Rovo Dev (`54.87%`). This is iSWE-Agent’s first submission on Python — after topping the Java splits of Multi-SWE-Bench and SWE-PolyBench — and its first to run on OpenAI’s GPT models, demonstrating that the same agent generalizes across both programming languages and model ecosystems. iSWE-Agent achieves Rank-1 on SWE-PolyBench (Verified) Python leaderboard (18 June 2026) Related resources: iSWE-Agent arXiv paper - Resolving Java Code Repository Issues with iSWE Agent
Feb 06, 2026	iSWE-Agent, IBM Research’s software engineering agent, achieved Rank #1 on the SWE-PolyBench (full) Java leaderboard with a `33.33%` resolution rate. On the Verified subset, iSWE-Agent scores `46.38%` on Java, matching Atlassian Rovo Dev and significantly outperforms PrometheusV1.2 + GPT-5 (`33.33%`). iSWE-Agent achieves Rank-1 on SWE-PolyBench (Full) Java leaderboard (6 February 2026) iSWE-Agent on SWE-PolyBench (Verified) Java — matches Atlassian Rovo Dev, outperforms PrometheusV1.2
Dec 01, 2025	iSWE-Agent, IBM Research’s software engineering agent, achieved Rank 1 on the Multi-SWE-Bench Java leaderboard with a `33%` resolution rate, substantially outperforming the previous best score of `28.9%`. iSWE-Agent achieves Rank-1 on Multi-SWE-Bench Java leaderboard (1 December 2025) Related resources: IBM Research Blog - iSWE-Agent
Sep 03, 2025	SWE-Bench-Arena, a platform for blind evaluation of AI-generated code patches, is now live. Unlike benchmarks that only measure test-pass rates, SWE-Bench-Arena evaluates patches across five production-relevant dimensions: correctness, maintainability, readability, performance, and simplicity. SWE-Bench-Arena — blind evaluation of AI-generated code patches Related resources: LinkedIn article: “The Hidden Cost of AI Coding Tools: Quality vs. Speed”
Oct 22, 2024	IBM AI Agent SWE-1.0, previewed at IBM TechXchange, showcases how AI can tackle GitHub issues in minutes using only open-source LLMs. Related resources: IBM Research Blog - IBM SWE Agents LinkedIn posts: Announcement \| Live demonstration YouTube video: “IBM AI Agent SWE-1.0 Demonstration for resolving GitHub issues”