Hear Your Code Fail, Voice-Assisted Debugging for Python

This staggering performance drain translates to roughly $61 billion in yearly financial losses throughout the worldwide software market, as quantified by the Standish Group's 2023 analysis of advancement workflows. The core inefficiency stems from traditional debugging's visual - only paradigm, where deve lopers must manually parse dense, technical stack traces while mentally reconstructing error context a process requiring intense cognitive focus that fragments attention between code logic and exception diagnostics. Neuroergonomic research from MIT's Human - Computer Interaction Lab reveals this context - switching triggers measurable cognitive overload, increasing prefrontal cortex activation by 60% compared to focused coding tasks, ultimately leading to mental fatigue that compounds debugging errors. The accessibility limitations of conventional debugging tools create additional barriers for approximately 12.5% of professional developers with visual impairments (World Health Organization, 2024), who struggle with screen readers that poorly interpret te chnical tracebacks. As Sarah Parker, a blind Python developer at Microsoft, testified during the 2023 Accessible Tech Symposium: "NVDA reads exception blocks as disconnected fragments I spend more time reassembling error narratives than solving actual prob lems."