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Insights to keep AI applications reliable

AI has become a massive investment for companies. Engineering teams across industries are integrating AI into their products, whether it’s through homegrown, self-managed models or third-party model integrations. But no matter how much AI shifts the user experience, it’s still an application, which means your engineering team still needs to operate it and keep it reliable. At the same time, AI applications add complexity and complications that require a shift in your approach.

Validating OS-compatibility for locally-run LLMs using Ollama with CI/CD matrix workflows

Large Language Models (LLMs) are becoming increasingly accessible, with regular adoption of open-source models and the growing ecosystem of tools for running them locally. Compact versions are now able to run on consumer-grade hardware, so developers are using LLMs on personal devices like Linux workstations, macOS laptops, or even Windows machines. As this trend grows, so does the need to ensure that your LLM-powered applications run reliably across all major operating systems.

The Future of Auditing is Agentic AI

There is a huge amount of hype around AI. Companies are growing faster than ever, IT budgets are being redirected, and product roadmaps everywhere are being redrawn. There is no doubt LLM’s are a transformative technology. At the same time, as with any early technology cycle we are far from understanding the patterns of success. And for sure, mis-steps and bad takes abound.

Top AI business card generators in 2025

Designing a business card used to mean hiring a designer or learning complicated software. In 2025, AI-powered generators are redefining how professionals and businesses create cards-fast, personalized, and brand-aligned. These tools combine machine learning with layout logic, helping users produce polished cards in minutes. Whether you're a startup founder, freelancer, or team leader, AI-generated business cards now offer a reliable, scalable way to make a memorable first impression.

Adding AI to applications using the Model Context Protocol

Large Language Models (LLMs) are now at the cutting edge of mainstream AI systems. Their impact has been seismic, sparking a new gold rush as application developers transform the user experience away from clicks and commands into natural language and advanced automation. However, application developers have a barrier to overcome. AI models need data to reason and respond to a particular application domain.

Highlight reel: Futureproof Your AI Investment With Observability

Artificial intelligence is changing the way modern systems are built—and how teams are expected to and operate them. But as AI-driven complexity grows, so too does the need for deep, reliable, and fast visibility into what’s really happening inside our. In this timely and thought-provoking session, Christine Yen, CEO and Co-founder of Honeycomb, explores how practices must evolve to keep pace with.

Regex Log Parsing Made Easy with AI/LLM Support #opentelemetry #collector #observability

Check out the full ‪‪@bindplane community call in June. We explore Apache HTTP source and the new AI regex log parsing capabilities. We leverage a Bindplane processor for complex pattern matching, enabling efficient data processing. This guide demonstrates how to easily generate and apply regex patterns with AI support.

Smarter Data Center Capacity Planning for AI Innovation

Global demand for data center capacity is skyrocketing. From 2023 to 2030, power consumption across data centers is expected to grow by up to 22% annually, driven primarily by generative AI (GenAI) workloads. By 2030, AI workloads are predicted to account for 70% of total demand. This demand doesn’t just mean more hardware; it necessitates high-density computing environments to support training large language models like GPT and real-time inference systems.

GenAI: 80% Adoption by 2026... Are You Ready?

In this video, we explore the growing adoption of Generative AI in enterprise, the common pitfalls companies face, and how to build GenAI infrastructure that’s secure, scalable, and production-ready. We also introduce how relaxAI, Civo’s AI assistant, helps solve key challenges around privacy and infrastructure, giving you full control by bringing the LLM to your data.

Top tips: Fly high with AI-benefits of artificial intelligence in aviation

Top tips is a weekly column where we highlight what’s trending in the tech world today and list ways to explore these trends. This week, we’ll look at two ways AI is optimizing flying for the passenger as well as the airline. "Brace! Brace! Brace!" Simple request. Serious consequences. Something that could get even the most vocal atheist to start praying. Something that no one would ever wish to hear in their lifetime.