Span

@Span_App

The ledger for your AI software factory. Turn time and tokens into outcomes.

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Span
@Span_App
Jul 23
Mainstream discourse about agent effectiveness tends to focus on model selection. We looked at complete agent trajectories across 103 engineering teams and found that prompt clarity, environment readiness, and quality stewardship are heavily correlated with the right outcomes.
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Span
@Span_App
Sep 9
.@trygenius_ai had doubled engineering output with coding tools in six months. Then Span surfaced a bottleneck that directly impacted their velocity: a cross-team code review backlog that was slowing the whole pipeline. The result? A 25% drop in time to first review.
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Span
@Span_App
Sep 1
Teams with stronger quality stewardship complete 39% fewer review cycles per PR. Every extra cycle is time and tokens spent re-reviewing code instead of shipping the work that moves the business forward. Span helps teams point time and tokens to what matters. Read our full Q3
Span
@Span_App
Jul 1
Which teams are using AI most effectively? Why did defect rates increase this month? Engineering leaders currently spend hours digging through a dozen dashboards to answer those questions. They shouldn't have to. Src, Span's AI agent, makes your entire engineering system
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Span
@Span_App
Jun 9
Different parts of a product, and different kinds of companies, are meant to move at different paces. @TownAI co-founder and CEO @jgreze stopped by our Stack Trace podcast to discuss how to match shipping velocity with what you're building.
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