AI can cut software maintenance effort by 30%, speed developer onboarding: Report
Artificial intelligence (AI) is changing how companies manage software documentation, with teams reporting up to 30 per cent lower maintenance effort and up to 40 per cent faster onboarding when technical information is kept updated with changing systems, according to an analysis report by GFT Technologies.
Artificial intelligence (AI) is revolutionizing software documentation management, with companies reporting up to 30% lower maintenance effort and up to 40% faster developer onboarding when technical information is consistently updated alongside evolving systems, according to an analysis by GFT Technologies. Traditionally, documentation has been a final task after coding, often resulting in outdated and incomplete information as the software changes.
However, AI-driven documentation is transforming this process into a continuous, intelligent system that supports development speed, quality, and transparency.
AI can comprehend code structures, dependencies, and logic, explaining not only what a piece of code does but also how different components are interconnected. When a developer modifies a payment processing module, AI automatically updates related API documentation, sequence diagrams, and runbooks in sync with the updated code. This approach is especially beneficial for companies managing large or older software systems, where developers often spend considerable time searching for information about existing code and system processes.
Over 65% of enterprises currently utilize AI for documentation or code analysis, with teams experiencing up to 40% faster onboarding and 30% reduced maintenance effort when knowledge assets remain synchronized with changing systems. Andre Gagne, CEO of GFT Technologies Canada, emphasizes that AI has moved from being a productivity experiment to a foundational element of efficiency across the software development lifecycle.
AI-generated documentation still requires validation and monitoring, highlighting the importance of version control, audit trails, secure authentication, and transparency in the documentation generation process. As AI becomes more prevalent in software development, documentation is increasingly integrated directly into the development workflow rather than treated as a separate task.
Written by urgent.news from Economic Times Tech's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
