Naresh Mehta, Chief Technology & Innovation Officer - Manufacturing Business, Tata Consultancy Services. Read Naresh Mehta's full executive profile here.
GenAI is revolutionizing the concept of"touchless" DevSecOps, where manual intervention is minimized and processes run autonomously. It envisions a software development journey similar to a self-driving car, with AI handling navigation and optimization while humans oversee and intervene when necessary.
AI can also optimize existing patterns by suggesting improvements aligned with performance, scalability and security best practices. Repetitive tasks such as generating diagrams, documentation and configuration files can be automated based on chosen patterns.By leveraging existing code patterns augmented by human-in-the-loop reviews, GenAI can generate boilerplate code, unit test cases and documentation.
Imagine a world where developers become composers and AI machines play the role of the band or orchestra. The composer will write the melody and overall structure , while the band helps bring it to life.AI can generate diverse and comprehensive test cases, covering various edge cases and scenarios. GenAI can also take on the role of"weed pullers" as they analyze test results, automatically detecting potential defects and prioritizing them based on their severity and potential impact.
GenAI can also scan codebases for vulnerabilities and prioritize them based on their severity, exploitability and potential impact, assisting developers in focusing on critical issues first.GenAI can perform real-time analysis of system logs and metrics to identify and diagnose issues; automatically trigger remediation actions such as restarts, rollbacks or configuration changes; and learn from past incidents to adapt responses for improved effectiveness over time.
How long of a journey is it—three years, five years or later on the horizon? Let me know your thoughts.
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