Venture Capital and Engineering Quality: Evidence from Software Startups
Job Market Paper
Buchan Prize, 1st place (best PhD student-written paper).
Presented at the 12th Annual USC Marshall PhD Conference in Finance, 2026.
Previously circulated as “Venture Capital, Engineering Quality, and Technical Debt”.
Abstract for Venture Capital and Engineering Quality: Evidence from Software Startups
We investigate a novel channel of venture capital value creation: the
practices through which startups build and maintain their technology. We
construct a new panel of 569 firms using 60,000 full codebase snapshots. We
compare changes in engineering quality following first VC investment with
changes at similar firms that remain without VC backing. We also construct a
dollar-denominated measure of technical debt, the estimated maintenance
liability embedded in software. Relative to codebase size, serious deviations
from coding best practices decline by 15% and technical debt by 12%. These
improvements accompany substantial codebase growth. The decline in the
frequency of serious coding problems persists after matching on pre-financing
growth, and quality gains extend to firms already generating revenue. In
contrast, a placebo test around later financing rounds shows no evidence of
quality improvement. We also analyze 4.8 million code contributions (commits).
After first VC investment, documented peer review and formal issue tracking
become more common, off-hours work declines, and existing team members become
less likely to introduce defective code. The findings suggest that VC
professionalization extends to the engineering practices through which teams
build and maintain their products.