Speed
Traditional Coding
Developers need to write the majority of code manually or use a library of previously created snippets and research solutions when needed
AI can assist by automatically generating code snippets and suggesting solutions
Coding with Gen AI
Accuracy
Accuracy is dependent on a developer’s expertise and attention to detail; errors and bugs can be common
AI can improve accuracy by catching common errors and suggesting best practices
Efficiency
Depends on a developer’s knowledge of best practices and optimization techniques
AI can suggest more efficient code and optimization techniques based on the training data
Learning Curve
Depending on the developer’s experience, there can be a steep learning curve to master various programming languages, tools, and libraries
AI can help reduce the elarning curve by providing real-time guidance and code suggestions
Dependency on External Resources
Developers may need to rely on external resources, such as Stack Overflow or documentation, to find solutions to problems
AI can provide context-aware code suggestions, reducing the need to search for solutions elsewhere
Knowledge Update
Developers need to continuously learn and stay up-to-date with the latest technologies and best practices
AI models can be updated with new data, ensuring they stay current with the latest technologies
Creativity and Innovation
Developers can bring their own creativity and innovative ideas to the project, which may be unique to their perspective
AI-generated code may not be as creative or innovative, as it is based on patterns in training data
Intellectual Property and Security
Developers have full control over the code they write themselves and can ensure adherence to IP and security requirements
There may be concerns about AI-generated code inadvertently copying existing code or revealing IP
Speed
Efficiency
Creativity and Innovation
Dependency on External Resources
Intellectual Property and Security
Accuracy
Learning Curve
Knowledge Update