Glintt Next has introduced Code Analyzer, an Artificial Intelligence-powered platform that strengthens its Application Management Services (AMS) offering by streamlining the analysis and correction of code in enterprise applications.
Designed to help organizations reduce technical debt and improve operational efficiency, Code Analyzer brings AI-powered automation to application maintenance, supporting the development of more robust, secure and sustainable software.
Addressing the growing challenge of technical debt
As technology modernization becomes an increasingly important strategic priority, organizations continue to face challenges related to legacy applications, growing technological complexity and limited access to specialized talent.
Technical debt can restrict an organization’s ability to innovate, increase maintenance costs and create additional risks for business-critical systems. Code Analyzer was developed to help address these challenges by making application analysis and maintenance more proactive and efficient.
Using AI to improve code quality
Code Analyzer analyzes code across multiple critical quality dimensions, helping teams identify issues and prioritize the areas that require attention.
The platform integrates with tools such as SonarQube to identify and prioritize code issues and uses automation to generate correction proposals that can then be reviewed and implemented by specialized teams.
This approach helps organizations accelerate maintenance cycles, improve software quality and reduce the effort traditionally required to identify and resolve technical issues.
Making application maintenance more proactive
By combining Artificial Intelligence with the expertise of Glintt Next’s application management teams, Code Analyzer automates tasks that have traditionally been time-consuming and repetitive.
This enables specialized professionals to focus on higher-value activities while helping organizations improve incident management, accelerate team onboarding and support compliance with established service levels.
The result is a more preventive approach to application maintenance, where potential issues can be identified and addressed earlier while supporting the operational efficiency and continuity of critical systems.
Combining AI with application management expertise
Filipe Cardoso, Technical Manager of CAD at Glintt Next, highlights the growing challenge organizations face in maintaining increasingly complex applications while ensuring that these systems continue to evolve in line with business requirements.
Code Analyzer combines the experience of Glintt Next’s specialized teams with the potential of Artificial Intelligence to identify issues earlier, accelerate the reduction of technical debt and make application maintenance simpler and more efficient.
Supporting the evolution of critical applications
Glintt Next’s expertise in this area is built on the management and evolution of highly critical platforms used daily by thousands of users and supporting essential processes across different sectors.
By strengthening its Application Management Services offering with Code Analyzer, Glintt Next continues to support organizations in the management, maintenance, modernization and continuous evolution of enterprise applications.
The combination of Artificial Intelligence and specialized technical expertise enables organizations to improve software quality, increase operational efficiency and reinforce the continuity of their critical systems.
Article adapted from the original publication by HealthNews.
