Uber built AutoClean, an agent‑based system that safely deletes stale feature flags at scale by combining deterministic rewrites with strong validation to reduce tech debt.

Company blogs
Engineering and data science write-ups straight from the teams at 30 companies. Each one summarised in a line or two and sorted by subject. New posts are added every morning.
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Uber built AutoClean, an agent‑based system that safely deletes stale feature flags at scale by combining deterministic rewrites with strong validation to reduce tech debt.

Meta highlighted that Sapienz, a multi‑objective automated Android testing tool, received the ISSTA 2026 Most Influential Paper Award.

Figma outlines four team rituals that help teams adopt AI, describing practices used at Figma, Sephora, Mercari, and Atlassian to turn individual productivity gains into broader team value.

Figma challenges teams to elevate AI usage, urging higher standards for adoption and impact.

Stripe evaluated token billing as a pricing model, found it problematic for customers, but ultimately kept it after weighing its infrastructure benefits.

Figma expanded its London office to be closer to customers and the community.

Etsy examines the rising environmental impact of AI computing and the difficulty of measuring and reducing that footprint.

Stripe discussed travel industry leaders’ mixed views on AI, noting both existential risk concerns and its potential as a transformative opportunity.
