Harness Acquires Codecov from Sentry to Expand Software Delivery Governance

June 02, 2026
Harness has acquired Codecov from Sentry, integrating its code coverage intelligence into the Harness platform to enhance visibility and governance across the software delivery lifecycle. The acquisition aims to help teams make informed release decisions as AI accelerates code creation.

In a press release, Harness announced the acquisition of Codecov from Sentry to strengthen governance across the software delivery process. The integration embeds Codecov's coverage intelligence into the Harness platform, allowing teams to assess test coverage and release risk before deploying code.

Harness stated that combining Codecov with its delivery pipeline enables coverage signals to inform release decisions in real time. This addition connects testing data with deployment history, security analysis, and incident telemetry within the Harness Software Delivery Knowledge Graph.

Codecov will continue operating under its existing brand, with Harness pledging ongoing investment and continued free access for open source projects. Both Harness and Sentry plan to maintain collaboration to ensure continuity for users and support further integration between their tools and developer communities.

We hope you enjoyed this article.

Consider subscribing to one of our newsletters like Daily AI Brief.

Also, consider following us on social media:

AI Brief AI Brief (X)

Subscribe to Daily AI Brief

Daily report covering major AI developments and industry news, with both top stories and complete market updates

AI Token Webinar

Whitepaper

Stanford HAI’s 2025 AI Index Reveals Record Growth in AI Capabilities, Investment, and Regulation

The 2025 AI Index by Stanford HAI provides a comprehensive overview of the global state of artificial intelligence, highlighting significant advancements in AI capabilities, investment, and regulation. The report details improvements in AI performance, increased adoption in various sectors, and the growing global optimism towards AI, despite ongoing challenges in reasoning and trust. It serves as a critical resource for policymakers, researchers, and industry leaders to understand AI's rapid evolution and its implications.

Read more

You May Also Like