Agentic Future Ready With BigQuery: Continually Improving Price-Performance, Zero Effort
Learn about the latest innovations to help improve BigQuery price-performance with autonomous query processing.
Systems | Development | Analytics | API | Testing
Modern Software Development For Today's Systems & Applications
We built our own status page with AI, replacing a $65k SaaS product
Two engineers used AI coding agents to design, build, and ship a production-ready status page — here's what worked, what didn't, and what we'd do differently.
Bring AI to Your Data, From Prototype to Production | Cloudera AI Inference
Most enterprise AI projects stall when teams try to move experiments into production—where costs, governance, data security, and scale all get real. In this demo, see how Cloudera AI Inference helps turn foundation models into secure, governed, production-ready AI services. You’ll learn how to: Chapters: Subscribe to stay ahead of the curve with the latest in data strategy, open architectures, and enterprise AI innovations.
React Native OTA updates: Bitrise CodePush demo
From our CodePush webinar: a practical walkthrough of setting up and managing CodePush for over-the-air (OTA) updates on Bitrise using a React Native application. Staff Solutions Engineer Atanas Chanev shows you how updates are handled by pushing a direct update via the command-line interface, promoting a staging release to production, and executing an emergency rollback to a previous version using the API.
AI is Writing Your Code Faster Than Anyone Can Check It
AI is writing more of your codebase every quarter. A new Sauce Labs report surveying 400 U.S. executives and engineering leaders shows most organizations still can't verify it's safe to ship, and the incidents are piling up.
How to Build a Self-Healing Data Pipeline with AI Agents (Step by Step)
Your data pipeline breaks at 2 AM. Again. By morning, corrupted data has cascaded through dashboards, reports sit empty, and your team spends half the day tracking down root causes instead of building features. This scenario plays out across organizations daily. Data engineers spend 44% of their time firefighting pipeline failures rather than delivering value.
Swift Arrays: Complete Guide to Sort, Filter, Map and Reduce
Swift arrays are one of the most commonly used collection types in iOS and macOS development. They provide ordered, type-safe storage for values and include powerful higher-order functions such as map, filter, reduce, and sort. With value semantics, copy-on-write optimisation, and a rich set of built-in operations, Swift arrays make it easier to write safe, efficient, and expressive code. This guide will empower you to master the basics of Swift arrays and explore all the functionality they provide.
10 Signs You've Outgrown QuickBooks Inventory-and What to Do Next
As a business grows, inventory management becomes more complicated than simply knowing what is in stock. More products, additional sales channels, larger order volumes, and multiple storage locations can quickly turn a once-simple process into an operational challenge. QuickBooks Online offers useful built-in inventory management features for small businesses. It can help track inventory quantities, monitor stock levels, manage purchase orders, calculate inventory value, and keep accounting connected with everyday transactions.
The best GitHub Actions runners in 2026 (and hidden pricing traps to avoid)
GitHub Actions is the default CI/CD tool for most teams. The runners underneath it, the actual machines your jobs run on, are where the pain shows up. Standard GitHub-hosted runners are slow for heavy repos and complex workflows. The faster ones are gated behind Team and Enterprise plans. GitHub Actions pricing is also notoriously hard to understand, especially for macOS.
Building a Data Warehouse with the Astera AI Agent: From Prompt to Insight
Establishing a data warehousing system that meets all your business intelligence targets is by no means an easy task. It traditionally involves profiling source systems, designing a dimensional model by hand, writing the DDL to deploy it, building the load pipelines, and scheduling them to run, work that can take weeks. Astera's manual, step-by-step approach to this is covered in Building a Data Warehouse – A Step by Step Approach.