Published: 20 August 2024
Summary
AI code assistants enable developers to code faster and focus on high-value activities, boosting developer productivity and developer experience. Software engineering leaders should use this research to evaluate the capabilities of AI code assistants against their top use cases.
Included in Full Research
Strategic Planning Assumptions
- Alibaba Cloud
- Amazon Web Services
- Codeium
- CodiumAI
- GitHub
- GitLab
- Google Cloud
- IBM
- Refact.ai
- Sourcegraph
- Tabnine
- Tencent Cloud
- Analytics Dashboard
- Code Completion in CLI
- Context Referencing
- Deployment Models
- Enterprise Code Customization
- IDE Integration
- Instruction Commands
- Model(s) Choice
- Nonfunctional Features
- Partnership Marketplace
- Prompt Engineering
- Responsible AI
- Supported Languages and Frameworks
- User Experience
- Code Generation
- Code Debugging
- Code Modernization
- Artifact Building and Testing
- Code Explanation
Critical Capabilities Methodology