
In May 2025, Chris Fidler developed the Classy AI Agent Suite for the CMBAgents/cmbagent repository, focusing on scalable, context-aware automation. He engineered the ClassyContextAgent to enable in-situ context search and Python snippet suggestions, and built the ClassyResponseFormatterAgent to deliver structured response formatting. His work involved updating default LLM configurations and utilities to seamlessly integrate these agents, leveraging Python and YAML for configuration management and agent development. While the project delivered a single feature without bug fixes, it demonstrated depth in API integration, context management, and LLM integration, establishing a robust foundation for improved developer and product workflows.

May 2025 (CMBAgents/cmbagent): delivered the Classy AI Agent Suite featuring Context Agent and Response Formatter, enabling in-situ context search and structured response formatting. Updated default LLM configurations to activate these agents with suitable models and refreshed utilities to support classy integration. This work lays the foundation for scalable, context-aware automation and improved developer/product workflows.
May 2025 (CMBAgents/cmbagent): delivered the Classy AI Agent Suite featuring Context Agent and Response Formatter, enabling in-situ context search and structured response formatting. Updated default LLM configurations to activate these agents with suitable models and refreshed utilities to support classy integration. This work lays the foundation for scalable, context-aware automation and improved developer/product workflows.
Overview of all repositories you've contributed to across your timeline