Bun's AI Transpilation Experiment Reveals the Cost of Open Development

This experiment demonstrates that LLMs can effectively perform large-scale code transpilation with proper constraints—suggesting a new approach to technical debt resolution. The Bun incident exposes the tension between open development's transparency ideal and the practical need for private technical exploration; even sound decisions spark backlash when exposed prematurely. The case validates AI-assisted code translation as a viable modernization strategy while revealing the costs of developing high-profile projects in the open.