The rise of agentic AI part 2: Scaling MCP best practices for seamless developers’ experience in the IDE with Cline

Agentic AI is transforming how engineering teams handle incidents and debug use cases by leveraging Model Context Protocol (MCP) and live debugging techniques. In this context, TELUS employs best practices with Dynatrace's Live Debugger and custom MCPs to significantly accelerate issue resolution. These practices allow engineers to debug code in real-time without disrupting operations by integrating various resources within an IDE, facilitating natural language interaction with AI tools. This integration reduces context-switching and manual overhead, enabling seamless code monitoring and incident response. TELUS's use of Cline AI and MCP servers standardizes data retrieval, allowing developers to access and correlate relevant information effortlessly, thus streamlining the troubleshooting process. The company plans to expand these capabilities into production environments with strict governance and to further simplify interactions through the planned integration of Davis Copilot APIs, enhancing their ability to perform advanced data analysis with intuitive commands.

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