AutoScriptAI: Model-Driven Framework for Autonomous Script Generation and Lifecycle Maintenance

Abstract

AutoScriptAI is a new, model-driven platform that is meant to automatically write, change & keep software scripts up to date throughout their lives. Conventional script production sometimes takes extensive human work, resulting in many errors, version differences as well as higher maintenance expenses.  AutoScriptAI solves these kinds of problems by bringing together generative AI, software graph learning & model-driven automation into a single structure. The system uses generative AI to figure out the meaning & context of plain language or system models & then it makes executable scripts that are tailored to specific scenarios. Software graph learning helps the system keep track of many connections, behaviors & interactions in dynamic codebases so that it may predict, change & improve scripts ahead of time. Model-driven automation ensures consistency in their structure & behavior, enabling dynamic lifecycle management—from initial development to regression corrections and performance optimization—without the need for constant human supervision. Using this kind of technology speeds up the design process, reduces regression concerns, as well as helps things function better on many different platforms. It also reduces the need for people to be engaged. Experimental assessments show that script upkeep time and dependence on human interaction have both gone into a lot, while code dependability and accessibility have both gone up. AutoScriptAI may be employed in a variety of industries, including DevOps, cloud orchestration, IT service automation in conjunction with smart infrastructure administration.  As time goes on, the framework may turn into self-learning script ecosystems that can adapt to the latest tools, changes in compliance & changes in system circumstances on their own. This would be a huge step toward software that runs itself.