More development teams are using AI-powered tools to automate tasks and speed up software development.
2. AI can help developers write better code by providing suggestions and recommendations based on data from previous projects.
3. AI-assisted code review can improve the accuracy of code reviews and help identify potential issues earlier in the development process.
4. Static analysis tools that use AI are becoming more common, as they can more accurately identify code errors and potential security vulnerabilities.
5. Some companies are using AI to generate automatic documentation for their software projects, which can save time and improve accuracy.
6. AI can create realistic test data, which can be used to test the software before it is released to users.
7. Automated testing will become much more widespread, with AI playing a significant role in generating test cases and evaluating results.
8. Machine learning algorithms will be applied to existing systems to predict future trends and provide early warnings of problems.
9. Increasingly sophisticated customer support chatbots will assist customers when interacting with company websites or mobile apps - they may even perform essential self-service functions such as filling out forms automatically without requiring human intervention.
10. As business processes become increasingly automated, virtual assistants like Siri or Alexa will start appearing within enterprise software products, providing contextual information about what's happening within the system.