Systems | Development | Analytics | API | Testing

The 7 Best Multi-Agent Software Development Tools in 2026

Artificial intelligence has become a standard part of software development. Most engineering teams now use AI to generate code, explain unfamiliar functions, write tests, or accelerate documentation. These capabilities have become widely available, and the underlying language models continue to improve at an impressive pace. But as organizations move beyond experimentation, many are discovering that code generation alone does not solve their biggest engineering bottlenecks.

How to Become an AI-Native Team

A year ago we announced that Databox is becoming an AI-first company. At the time, that mostly meant what it meant for many companies in 2025: AI becoming a strategic priority. Teams were encouraged to experiment and adopt new tools, as it was clear that AI wasn’t a trend we could ignore. That was the easy part. What’s become clear over the last year is that there’s a significant difference between being AI-first and being AI-native.

Appian Q2 Product Highlights: Helping You Move from Standalone AI Tools to Orchestrated AI Workflows

Organizations have rapidly adopted artificial intelligence, but a stark divide is emerging: those who are embedding AI into the core of their operations, and those who are treating it as a standalone tool. According to a recent Harvard Business Review Analytic Services survey, only a small share of resondents say their organization has largely integrated AI into workflows.

Qlik Named a Leader. Again. For the 16th Year. For Us, AI Was Never an Afterthought.

We are excited to share that Qlik has been recognized as a Leader in the 2026 Gartner Magic Quadrant for Analytics & Business Intelligence Platforms, recognized for both our Completeness of Vision and Ability to Execute. Download the complimentary report here. Sixteen years. Our Sweet Sixteen, if you're counting. I'd argue it's less a milestone for us and more a proof point.

Top Cloud Testing Challenges and How to Overcome Them in 2026

Project leaders and QA engineers understand that cloud testing challenges are not created equal. Some issues are inconvenient but manageable, while others can jeopardize releases, security, or compliance. The real expertise lies in identifying which obstacles are truly business-critical – the ones that, if ignored, can cascade into outages, breaches, or regulatory failures.

Non-Negotiables in an Enterprise Synthetic Solution: #1, Referential Integrity

At Perforce Delphix, we have found that referential integrity is very often a deciding factor for enterprises evaluating data masking and test data management solutions. That same requirement is emerging in conversations about synthetic data, as well. Mayank Ahluwalia, Senior Product Manager at Perforce Delphix, has seen this need firsthand in his conversations with enterprise leaders.

WWDC26: the Virtualization framework updates that matter for large Mac fleets

WWDC 2026 delivered plenty for app developers to talk about, but some of the most consequential announcements were aimed squarely at the people running the infrastructure underneath. We've already covered the under-the-radar announcements for iOS developers and what Xcode 27's Device Hub means for CI/CD. This one is for the fleet operators. If you run Mac infrastructure at any scale, the Virtualization framework is already part of your life. On Apple Silicon, it's the only way to run a macOS guest.