During a two-month period, Femtowin focused on enhancing observability and reliability in Python-based agent systems. On the huggingface/smolagents repository, Femtowin refactored the E2BExecutor initialization to bring the logger online earlier, enabling more effective debugging during startup without altering core behavior. In the mozilla-ai/any-agent project, Femtowin addressed logging consistency by updating result handling to use str(result) and broadening type hints to Any, supporting diverse return types and improving maintainability. The work demonstrated depth in code refactoring and debugging, with careful attention to backward compatibility and development workflow improvements, resulting in more robust and diagnosable agent infrastructure.