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 MartineauContinuing the momentum of AI for Code with Project Wisdom
NewsRuchir Puri- See more of our work on AI for Code
Publications
- Sameer Pimparkhede
- Mehant Kammakomati
- et al.
- 2024
- EMNLP 2024
- Avirup Saha
- Lakshmi Mandal
- et al.
- 2024
- EMNLP 2024
- Priyam Sahoo
- Saurabh Pujar
- et al.
- 2024
- ASE 2024
- Sanjay Kumar Lalta Prasad Vishwakarma
- Frank Harkins
- et al.
- 2024
- QCE 2024
- Prashanth Vijayaraghavan
- Apoorva Nitsure
- et al.
- 2024
- MLCAD 2024
- Segev Shlomov
- Ronen Brafman
- et al.
- 2024
- IJCAI 2024