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
These new IBM agents will give developers new ways to solve problems — and clear their backlog
NewsMike MurphyWhat’s an LLM context window and why is it getting larger?
NewsKim MartineauSoftware has eaten the world. What now?
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
Bootstrapping Learned Cost Models with Synthetic SQL Queries
- Michael Nidd
- Christoph Miksovic Czasch
- et al.
- 2025
- VLDB 2025
Learnable Channel Converter for Multi-Spectral Image to RGB Visualization using a Vision-Text Model
- Haoxiang Qiu
- Tomoya Sakai
- et al.
- 2025
- IGARSS 2025
ConCodeEval: Evaluating Large Language Models for Code Constraints in Domain-Specific Languages
- Mehant Kammakomati
- Sameer Pimparkhede
- et al.
- 2025
- ACL 2025
A Perspective on LLM Data Generation with Few-shot Examples: from Intent to Kubernetes Manifest
- Antonino Angi
- Liubov Nedoshivina
- et al.
- 2025
- ACL 2025
Otter: Generating Tests from Issues to Validate SWE Patches
- Toufique Ahmed
- Jatin Ganhotra
- et al.
- 2025
- ICML 2025
Representing Prompting Patterns with PDL: Compliance Agent Case Study
- 2025
- ICML 2025
