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Modern Software Development For Today's Systems & Applications
How to Build AI Without Burning Millions
Is your organization actually driving value with AI, or just scratching the surface? USC's Founder of the AI Trust Lab, Shub Agarwal, joins to share his definitive 9-step playbook to take AI from concept to production without burning your budget.
Why AI Agents Need a Semantic Layer (and What That Actually Means in 2026)
Everyone is racing to put an AI agent on top of their data. Almost nobody is asking whether the agent can be trusted to act on what it sees. That is the wrong order. And the way most teams are trying to fix it — bigger context windows, more reasoning, another eval — is also wrong. The generative model stopped being the hard part of agentic analytics months ago. Wiring an LLM to a warehouse is a weekend project.
Can we ship this release? Zephyr + Rovo has the answer
We've been getting a lot of questions about how Rovo works with Zephyr, so Matt Bonner gives a quick look at a few of the capabilities teams are finding most valuable: Test case generation Test coverage insights Release Risk Analyzer.
Open Source Registries Are Changing: Here's How Bitrise Keeps Your Builds Running
There is a shift happening in a previously quiet corner of the open source community. You may have experienced this in your own Android builds with an HTTP 429 ("Too Many Requests") error during dependency resolution from Maven Central. Over a period of a few days in late April to early May 2026, a subset of Bitrise users experienced these errors. Here's what happened, what we did about it, and what it means for you.
Multimodal AI Applications, Use cases and Everything Else you need to know
Forget everything you thought you knew about AI! Literally! Yes, we are not lying because a new era has already begun. A technology is emerging that doesn’t just compute… it perceives. It listens, observes, reads, and interprets the world with a blend of senses much closer to our own. It’s the age of multimodal AI, where intelligence is no longer limited to a single stream of data, but fuelled by the combined power of text, images, audio, and video.
Don't Let Your Data Monster Destroy Your Momentum
Every enterprise has a data monster. And a way to take control. From AI to analytics, Confluent supercharges innovation across every organization with reusable, reliable, real-time data. So don’t let your data monster hold you back. Unlock value and unleash business impact with freeflowing, real-time data on The World’s Data Streaming Platform.
Perforce P4 vs Git for AI Coding Agents: Why Parallel Development Hits a Merge Wall
A few months ago, a CTO I respect posted on LinkedIn that he was thinking about going back to Perforce P4 or SVN. He runs a modern engineering org and uses Git. The trigger was that his AI coding agents were stomping on each other’s changes faster than his developers could reconcile them. That post isn’t an outlier. It’s an emerging pain point in AI-driven workflows.
Why Healthcare Organizations Need Governed AI Analytics
For healthcare organizations, AI governance is a must-have that can’t be ignored. To safeguard sensitive patient information, healthcare is subject to a variety of different regulations, for example HIPAA in the United States and GDPR in the European Union. As healthcare organizations implement AI, it brings a balance of efficiencies and risks.
When AI Infrastructure Meets Enterprise Data: ClearML on the Dell AI Data Platform
Dell Technologies has published a validated integration of ClearML with the Dell AI Data Platform (AIDP), pairing ClearML’s AI infrastructure capabilities with Dell’s enterprise-managed storage and search engines. The result is a reference architecture that lets AI teams keep moving fast while platform teams keep the data foundation enterprise-grade. Here is what the integration does, why it matters, and where it fits.