Operations | Monitoring | ITSM | DevOps | Cloud

The Grafana AI SDK for Go: a shared foundation for building AI applications

Starting an experiment with an LLM has never been easier. Keeping a growing collection of those experiments consistent is another matter. Earlier this year, as more teams began exploring AI features here at Grafana Labs, we repeatedly encountered the same pattern: a new experiment would start, move quickly, and build its own client for whichever model provider it needed. The next experiment would do the same, with a slightly different abstraction for streaming, tools, errors, or provider configuration.

Observability for AI-Generated Code: Bridging the New Governance Gap

We are witnessing the fastest expansion of the software development lifecycle in history. Generative AI tools have turned every developer into a hyper-productive builder, and in some cases, turned non-technical team members into creators of production-bound services. But this speed comes with a hidden cost. When the volume of code grows exponentially, the surface area for failure grows with it. The real challenge of modern software engineering is not Day 1 code generation; it is Day 2 operations.

Only hard work: AI's unexpected burnout risk

On this episode of Masters of Data, we dig into what happens when AI actually delivers on its promise to eliminate busywork, and explore why removing the toil doesn't feel like the win everyone expected. We make the case that repetitive tasks build the intuition, pattern recognition, and muscle memory people need to do the harder work well. Security and engineering leaders rethinking how much triage and busywork to hand off to AI will find plenty to chew on here, especially anyone staring down a task list where every single item feels like the hardest one.

Golden Paths for AI agents: What changes when platform users aren't human?

Agents are already calling your self-service APIs, querying your catalog, and independently provisioning resources around the clock. According to Gartner’s 2026 Hype Cycle for Agentic AI report, agents have had the most aggressive adoption curve of any emerging technology. Gartner even considers agents to be a formal user persona, referring to the agent experience (AX) throughout the report.

ChatGPT Stopped Citing Reddit - And That Matters

ChatGPT appears to have dramatically changed how it searches the web — and Reddit is suddenly showing up far less in its citations. For years, Reddit was one of ChatGPT’s most frequently cited sources, at one point accounting for as much as 15% of citations. That also created an entire industry around influencing Reddit posts in hopes of getting brands surfaced inside AI-generated answers. Now, ChatGPT appears to be shifting toward more targeted searches of official websites, documentation, and help centers instead of broadly searching the open web and pulling in Reddit discussions.

Top 6 Multi-Agent Orchestration Tools for Software Teams

Software teams have already seen what single-agent tools can do. They can draft code, explain unfamiliar functions, summarize pull requests, generate tests, and clean up documentation. Those tasks are useful, but they do not solve the larger coordination problem that slows down engineering work.

5 AI Tools Cutting SaaS Costs for IT and Marketing Teams in 2026

SaaS sprawl has become one of the quieter budget problems inside IT and marketing departments. Every team picks up a new tool to solve an immediate problem, nobody audits the stack regularly, and eighteen months later finance is asking why the software budget has ballooned while adoption of half those tools sits in single digits. AI tooling has followed the exact same pattern over the past two years, arguably faster than any other category before it.

Best Voice AI Orchestration Platforms in 2026

Building an AI voice agent can be easy, but making it actually work on real phone calls is more challenging. Voice AI orchestration platforms help to connect speech-to-text, text-to-speech, and telephony networks into real-time conversational agents. Although these tools are AI-powered, they handle turn-taking and interruptions during web interactions. By using these platforms, you will get fluid voice conversations that are ready to use.

How AI Answer Engines Like Perplexity Choose Which Brands to Cite in 2026

More product research now starts inside an AI assistant instead of a search engine. When someone asks ChatGPT, Perplexity or Google's AI Overviews for the best option in a category, they get a short written answer that names a few brands and links to a handful of sources. The brands that are named win the attention. The rest are not shown at all.