From line-by-line review to systematic empirical analysis, the paradigm shift in development processes is happening faster than expected.

Ramp AI Director Gupta stated that in the future, large models will turn programming into a natural language to code interpreter, and traditional development logic will be overturned. As models make breakthroughs in code accuracy and output complexity, clean code and line-by-line review will become less important, with low-risk modules verified in sandbox environments as black boxes, focusing mainly on systematic empirical evidence and actively managing technical debt. AI reduces the cost of refactoring, allowing teams to accept more redundant code in exchange for small performance gains, with review/merging becoming a bottleneck. Boris Cherny, the father of Claude Code, agreed, stating that the core work is designing safety nets for large models and verifiers.