We are witnessing significant adoption of various AI tools in Software Engineering. Are you embracing this change or in wait-and-watch mode?

AI is not the future – it is happening now.

Well, these are various ways you can leverage AI’s power to lead the game.

Coding gets better with AI:

Using the right AI tools can empower developers to produce high-quality code quickly and utilize their valuable time for creative and complex activities.

• Auto Code Generation: Several AI tools are out there to generate the code automatically based on predefined templates. Some tools are smart enough to learn code patterns from the coding communities and our code to provide code accordingly.
• Predictive Coding: AI tools can help predict the next line of code or a code block. It can also validate current code and provide recommendations to improve. This approach helps produce consistent code following best practices & patterns.
• Faster Debugging: AI can be very helpful in troubleshooting issues and identifying bugs in code, making software maintenance activities very efficient.
• Improve Efficiency: AI code scanners can identify technical debt, formatting issues, vulnerabilities, and optimization opportunities. Using these recommendations, we can improve the code performance & security.

Accelerated Testing with AI:

AI can be extensively used in the testing process for generating test cases, executing tests, and analyzing results. This can tremendously save time compared to manual processes, improves efficiency, and reduce errors.

• Generation of Test Cases: AI can be very powerful in generating test cases automatically by looking at the data models, user journeys, code analysis, and bug trends. This can significantly help to cover the scenarios to reduce critical defects.
• Manage Test Data: AI can give you the power to generate test data by creating realistic user-profiles and simulated user behavior. This can provide complete coverage of real scenarios to reduce the risk of data-related defects.
• Optimal Regression: AI can identify the changed application areas and run the specific test cases and scenarios to ensure the application remains stable in significantly less time.
• Ensure Performance: AI can learn from the previous application usage trends and replicate the testing on the new releases to ensure the latest versions are better and more reliable.

Better Documentation with AI:

AI technologies can help accelerate content creation, improve clarity, reduce errors, and enhance user experience.

• Generate Content: AI can help generate summaries from lengthy documentation for quick understanding, create steps, and draft technical documentation. Tools can do enhancements to existing documentation as well.
• Translation: AI can be very handy in translating documentation from one language to another very quickly, including technical terms and expressions.
• Optimized Search: AI-powered search can benefit end users by providing the most appropriate content from the documentation.

AI-driven Project Management:

Several Project Management activities can be complemented with AI tools for more significant insights and improved decision-making.

• Work Allocation: AI-based tools can help automate assigning work, set priorities, identify dependencies, monitor timelines, send reminders, and raise alerts/warnings/risks. This can tremendously help the whole team to be on track.
• Resource Management: Given the project requirements and current resources, AI can help you to identify future resource needs and recommend the best combinations.
• Handle Risks: Based on the key metrics & project execution data, AI can identify potential risks and predict their impact on the project. Mitigation strategies are provided based on the organizational historical data.
• Learn Fast: AI can analyze resource usage, development progress, team performance, defect data, and metrics to provide insights to improve resource performance, optimize processes, take corrective actions, and improve outcomes.

There are many more ways AI can be used to get benefits in the software development process. However, we know that AI is not a substitute for human expertise and judgment, so we should use these tools wisely where it adds value without negative results. 

https://www.linkedin.com/pulse/you-jumping-onto-ai-bandwagon-lead-game-vasu-puvvada