
AI
Harvard study finds AI coding agents boost code volume but fail to increase software output
Research shows human review bottlenecks absorb efficiency gains, with no evidence of increased firm-level software production or employment reductions.
Everything Threat Times has reported about code review: 4 stories, newest first. Part of our AI coverage.

Research shows human review bottlenecks absorb efficiency gains, with no evidence of increased firm-level software production or employment reductions.

Research shows AI increases code volume by 30 percent, yet human review delays negate productivity gains and extend merge times.

Research indicates that efficiency gains from AI coding tools are absorbed by human review bottlenecks, limiting overall software development velocity.

White box testing finds hidden logic errors quickly but misses user behavior flaws that black box methods catch through external observation.