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
Software has eaten the world. What now?
Q & AKim Martineau- AI for Code
- Application Modernization
- Automated AI
- Generative AI
- Natural Language Processing
COBOL programmers are getting harder to find. IBM’s code-writing AI can help
NewsKim Martineau- AI
- AI for Code
Find and fix IT glitches before they crash the system
NewsKim Martineau- AI for Code
- AI for IT
- Explainable AI
- Foundation Models
- Generative AI
Continuing the momentum of AI for Code with Project Wisdom
NewsRuchir Puri- AI
- AI for Code
- Foundation Models
How AI will help code tomorrow’s machines
Deep DiveRuchir Puri7 minute read- AI
- AI for Code
Kickstarting AI for Code: Introducing IBM’s Project CodeNet
ReleaseRuchir Puri7 minute read- AI
- AI for Code
- Application Modernization
- Generative AI
- Hybrid Cloud
IBM Research pioneers technologies behind new AI for IT capabilities
ResearchRuchir Puri- AI
- AI for Business Automation
- AI for Code
Publications
- Myeongsoo Kim
- Tyler Stennett
- et al.
- 2024
- ICSE 2024
- Rangeet Pan
- Ali Reza Ibrahimzada
- et al.
- 2024
- ICSE 2024
- Benjamin Darnell
- Hetarth Chopra
- et al.
- 2024
- ICSE 2024
- Qiushi Wu
- Zhongshu Gu
- et al.
- 2024
- NDSS 2024
- Saurabh Pujar
- Yunhui Zheng
- et al.
- 2024
- Empirical Software Engineering
- Bang Liu
- Yu Chen
- et al.
- 2024
- AAAI 2024