Reducing Technical Debt with AI Code Review Tools
Oleg Tagobitsky Oleg Tagobitsky

Reducing Technical Debt with AI Code Review Tools

Technical debt can weigh down even the most agile development teams, leading to costly rework and slower project timelines. AI-powered code review tools like CRken offer a proactive solution, automating the detection of potential issues and enforcing best practices to keep code quality high from the start. Built with advanced large language models (LLMs), CRken integrates directly with GitLab, providing real-time feedback that helps developers reduce technical debt and boost productivity. In this post, we explore how CRken and similar AI tools can transform code review, supporting sustainable development and enabling faster, more reliable releases.

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The Role of AI in Improving Vehicle Recognition for Parking Management
Guest User Guest User

The Role of AI in Improving Vehicle Recognition for Parking Management

AI-powered vehicle recognition is revolutionizing parking management by improving efficiency, enhancing security, and providing a seamless customer experience. From automating ticketing and fee collection to offering real-time updates on parking availability, AI-driven systems are transforming how parking facilities operate. As smart cities emerge, AI will play a crucial role in creating more sustainable, efficient urban environments, integrating parking solutions into broader infrastructure and paving the way for the future of mobility.

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