
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 software development: 8 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.

The new terminal feature helps users build applications with artificial intelligence, making the device a more capable development machine.

A Hacker News discussion challenges Rich Hickey’s claim that LLMs are automation rather than tools, arguing that effective use requires skill.

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

A new survey shows developers rely on AI tools yet remain skeptical about accuracy and source attribution in generated code.

TechCrunch Disrupt 2026 returns to San Francisco October 13-15, highlighting the evolution of AI from code completion to autonomous development agents.

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

New findings from GitHub indicate that hackathons remain the most effective environment for individuals to learn software construction in an era of reduced barriers.