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Gradle Blog

Why Artifact Cache and JFrog Artifactory are better together in the GenAI era

Why Artifact Cache and JFrog Artifactory are better together in the GenAI era
June 15, 2026|By The Develocity Team|11 min read

AI surged code volume and made the CI pipeline the new bottleneck. Keep JFrog Artifactory as your system of record and add Develocity Artifact Cache to serve artifacts locally — faster builds, lower egress, provenance intact.

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Supply Chain Observability with Develocity Provenance Governor

June 1, 2026

Supply Chain Observability with Develocity Provenance Governor

Bring observability to the software supply chain. Develocity Provenance Governor turns build, vulnerability, and policy facts into one queryable, signed source of truth.

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How DuckDuckGo Cut Their Android Build Times by Up to 57%

May 12, 2026

How DuckDuckGo Cut Their Android Build Times by Up to 57%

DuckDuckGo used the Develocity Build Validation Scripts to systematically diagnose cache misses across a 160-module Android project, fixing Room schema paths, Dagger non-determinism, and CMake caching to cut CI build times by up to 57%.

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From 0.1% green builds to near-zero flakiness: How Apache Kafka overhauled its CI

March 27, 2026

From 0.1% green builds to near-zero flakiness: How Apache Kafka overhauled its CI

A little over a year ago, fewer than 0.1% of Apache Kafka's CI builds came back fully green. What followed was a systematic overhaul with Develocity, compressing build times to a predictable 2-hour window and reducing flaky test failures from 90% to just 1%.

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Build is a process, not an action

March 12, 2026

Build is a process, not an action

If we cannot describe the specific 'why' behind a build failure as a structured process, we (and our AI agents) are performing work we don't truly understand. The build is no longer just something that runs—it is a process that must be understood through observability.

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Taming the firehose of AI code: Scaling throughput without exploding CI costs

March 9, 2026

Taming the firehose of AI code: Scaling throughput without exploding CI costs

The traditional CI/CD infrastructure was built on the assumption that humans write code at human speeds. Now that AI writes code faster, the question becomes: Can we deliver faster?

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