Jatin Ganhotra

I am a Senior Software Engineer at IBM Research, AI for Code, Thomas J. Watson Research Center where I architect and develop autonomous SWE-Agents for intelligent code generation, issue localization, new feature development, and software testing.

Check out the news section below for details on our recent SWE-Bench submissions and a preview of IBM’s breakthrough AI agents that are transforming software development workflows.

Prior to joining IBM Research, I graduated from University of Illinois, Urbana Champaign in Fall’15, with Masters in Computer Science.

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

Latest posts

News

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:
  1. IBM Research Blog - IBM SWE-Agents
  2. LinkedIn posts: Announcement | Live demonstration
  3. YouTube video: “IBM AI Agent SWE-1.0 Demonstration for resolving GitHub issues”
Oct 16, 2024 IBM AI Agent SWE-1.0, using only open-source LLMs, achieves a remarkable 23.67% resolution rate on SWE-Bench. Without relying on proprietary models, it represents a significant milestone in AI for software engineering. As the Architect and Technical Lead of this innovative solution, I’m excited to see how future SWE-Agents will build upon the foundation we’ve established with open-source LLMs.
Jun 12, 2024 IBM Research’s Agent-101 achieved an impressive 26.67% success rate on the SWE-Bench leaderboard using GPT-4, ranking 2nd at the time of submission.
IBM Research Agent-101 achieves Rank-2 on SWE-Bench (12 June 2024)