Watsonx Code Assistant for Z is the Rosetta Stone for mainframes
News
Peter Hess
AI for Code
Most enterprises rely on large volumes of aging code that are a challenge to debug, maintain, and update. At IBM Research, we’re using AI to help modernize software stacks, designing automated programming and refactoring systems to help businesses keep up with the speed of modern life.
Our work
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Q & AKim MartineauCOBOL programmers are getting harder to find. IBM’s code-writing AI can help
NewsKim MartineauFind and fix IT glitches before they crash the system
NewsKim Martineau- See more of our work on AI for Code
Publications
ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages
- Mehant Kammakomati
- Sameer Pimparkhede
- et al.
- 2025
- ACL 2025
Otter: Generating Tests from Issues to Validate SWE Patches
- Toufique Ahmed
- Jatin Ganhotra
- et al.
- 2025
- ICML 2025
Codellm-Devkit: A Framework for Contextualizing Code LLMs with Program Analysis Insights
- Rahul Krishna
- Rangeet Pan
- et al.
- 2025
- FSE 2025
LlamaRestTest: Effective REST API Testing with Small Language Models
- Myeongsoo Kim
- Saurabh Sinha
- et al.
- 2025
- FSE 2025
Calibration of Large Language Models on Code Summarization
- Yuvraj Singh Virk
- Premkumar Devanbu
- et al.
- 2025
- FSE 2025
AlphaTrans: A Neuro-Symbolic Compositional Approach for Repository-Level Code Translation and Validation
- Ali Reza Ibrahimzada
- Kaiyao Ye
- et al.
- 2025
- FSE 2025
