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integrate

How to Build a Self-Healing Data Pipeline with AI Agents (Step by Step)

Aug 7, 2026 By Donal Tobin In Integrate
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.
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bugfender

Swift Arrays: Complete Guide to Sort, Filter, Map and Reduce

Aug 7, 2026 By Flávio Silvério In Bugfender
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.
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10 Signs You've Outgrown QuickBooks Inventory-and What to Do Next

10 Signs You've Outgrown QuickBooks Inventory-and What to Do Next

Aug 7, 2026 By Vince Louie Daniot In SystemsDigest
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.
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bitrise

The best GitHub Actions runners in 2026 (and hidden pricing traps to avoid)

Aug 6, 2026 By Catherine Doyle In Bitrise
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.
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astera

Building a Data Warehouse with the Astera AI Agent: From Prompt to Insight

Aug 6, 2026 By Laiba Jamil In Astera
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.
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kong

A New Dawn: Enterprise AI's Shadow - Trillions of Tokens, Zero Governance

Aug 6, 2026 By Augusto Marietti In Kong
You Can't Govern What You Can't See A decade ago, cloud and API sprawl got ahead of governance, and enterprises spent years trying to account for costs they'd never tracked. Today, we're seeing the same pattern around AI, with hundreds of customers proxying traffic via Kong AI Gateway, which includes LLM, MCP, and agent connectivity. *AI spending will reach $2.59 trillion in 2026.* I regularly like to share what we're seeing in production at Kong.
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kong

What Are AI Agents Actually Doing When They Talk to Each Other?

Aug 6, 2026 By Hugo Guerrero In Kong
You've probably seen the demos. An AI model kicks off a task, hands pieces of it to other AI models, and somehow the whole thing gets done. Emails drafted, code reviewed, reports summarized — all without a human in the loop. While a single agent doing one thing is impressive, the true paradigm shift occurs when transitioning from single-agent to multi-agent AI systems. It looks like magic. It isn't.
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lenses

Agentic Engineering and the Agentic Software Factory for Real-Time Data Products

Aug 6, 2026 By Tun Shwe In Lenses
Software workloads that process large volumes of real-time data are becoming common. Decades working in this domain has taught me that building and operating reliable and maintainable real-time data products requires permissive access to the context of the environment. This article explains how to approach agentic engineering and apply it when building real-time data products inside an agentic software factory.
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smartbear

The mobile gap: Vision-based testing catches what code reviews miss

Aug 6, 2026 By Pratik Pal Bariha In SmartBear
The pull request looked perfect. Two approvals, clean diff, all checks green. The team shipped it Thursday afternoon. By Friday morning, support tickets were coming in. On a popular mid-range Android device, the new checkout button rendered behind a promotional banner: visually present but physically untappable. Every reviewer read that code, yet none of them could have caught it, because the defect was never visible in the diff. It only ever appeared on the device.
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perforce

Perfecto AI Desktop Testing Brings Native Apps Into Your Automation Strategy

Aug 5, 2026 By Perforce In Perforce
For years, native desktop applications have been the part of your portfolio that automation forgot. Your team automates web and mobile with confidence. Then there's the.NET client over a mainframe, the EPIC workflow, the proprietary trading terminal, and the packaged Windows app that breaks every time someone moves a button. These applications run your most regulated, high-stakes processes, and they stay locked in manual testing year after year. Perfecto AI Desktop Testing changes that.
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