Systems | Development | Analytics | API | Testing

Lex, a solution architect at Bitrise, provides a demonstration on how to configure Bitrise Build Cache for Gradle projects when using Bitrise CI. While Build Cache works with any CI solution, the setup procedure shown is tailored for Bitrise CI users. Bitrise, Gradle Build Cache, CI/CD, Continuous Integration, Mobile Development, Android, Build Optimization, Cache Warming, Workflow Configuration, Android Development.

Lex, a solution architect at Bitrise, guides you through a demonstration on comparing build cache invocations to identify the causes of build speed, cache hit rate, or overall build behavior. The focus is on Gradle, but the comparison feature works for other build systems like Bazel and Xcode. Bitrise, Build Cache, Gradle, CI/CD, Troubleshooting, Performance, Cache Hit Rate, Invocation Comparison, Build Optimization, Diff Tracker, Bazel, Xcode.

Join Lex, a solution architect at Bitrise, for a demonstration on how to configure Xcode build cache and validate that the configuration has been done correctly. This video focuses on using the build cache with Bitrise CI, although the build cache also works with external CI. Bitrise, Xcode Build Cache, CI/CD, Continuous Integration, Mobile Development, Xcode 26, App Development, Build Optimization, Cache Warming, Workflow Configuration, iOS.

See the Databox Model Context Protocol (MCP) in action inside Claude. In this video, we demonstrate how to connect your business data to Claude AI to instantly audit your revenue metrics. Instead of navigating through multiple dashboards, we use the Databox MCP to: Stop guessing if your data is accurate. Start verifying it with Claude and Databox. About this series: This video is part of our "Chat with Your Data" series, where we explore the Databox MCP.

I thought I found the ultimate coding shortcut: an autonomous AI agent. Turns out, I just bought a one-way ticket to a digital nightmare. A friendly reminder to my fellow devs: Validation isn't optional—it's survival. Your laptop shouldn't have a higher calling than your production environment. Validate now: speedscale.com.

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software, faster. Its no-code automation capability allows you to instantly transform manual test steps into automated executions without writing a single line of code.

In partnership with Snowflake, Qlik helps customers modernize data estates end to end—from ingestion to insight—using Qlik Talend Cloud Data Integration and an internal data marketplace. With no‑code/SQL pipelines, thousands of secure connectors, and built‑in governance and lineage, Qlik automates trusted data movement into Snowflake and turns it into certified, reusable data products—an “app store for insight”—that accelerate time to value and power advanced analytics and AI.

In this episode of The Innovation Blueprint, Roman Havrylyuk (CEO of ORIL) talks with Joe Stockton, Co-Founder & CEO of Oyster Data, about how Oyster Data is transforming real estate operations with advanced asset management and AI-driven solutions. Learn how predictive maintenance is reshaping property performance and what the future holds for PropTech in 2026 and beyond. What we cover in this episode.

SmartBear Zephyr is the Jira-native test management and automation platform that empowers your team to deliver better software,faster. Its Record and Play capability is a fast and easy way to build, run, and review automated tests. This short video demonstrates the full flow from recording to execution, all without writing a single line of code. You'll see how testers can review the recorded steps and verify that each interaction was accurately captured, for both traceability and visibility into the automated workflow.

How do you connect Snowflake and Apache Iceberg to embedded analytics without adding complexity? In this video, we demonstrate:→ Setting up the Simba Snowflake ODBC driver via system DSN→ Why pushdown queries matter for performance→ Building governed, reusable metrics in Logi Symphony→ Delivering fast, interactive dashboards on live retail data The result: unified sales and inventory analytics without the ETL pipelines, Python scripts, and custom services that create support headaches.