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Executive Roundtable: Guardrails for the Autonomous Era

Ask ten engineering leaders how far their organization has actually gotten with autonomous AI, and most will admit the same thing once the marketing language drops away: not nearly as far as it looks from the outside. That was the undercurrent of a roundtable Logz.io and Twingate hosted on July 22, 2026, bringing together VPs of engineering, CTOs, senior security directors, and several product leaders across different industries and company stages.

AI fatigue: what happens when product teams can't keep up with their own agents

For the past two years, the conversation around AI in software engineering has focused on one thing: productivity. Engineers are shipping faster, writing more code, and completing work in hours that once took days. Every new model promises another leap forward. What gets far less attention is what all that speed demands from the people using it. Guillaume Moigneu, Field CTO at Upsun, has spent the past year watching engineering teams adapt to AI-assisted development.

Why Written AI Policies Alone Won't Protect Your Organization

Most organizations have responded to the rapid growth of AI by creating written policies that define acceptable use. A clear AI policy can establish expectations, assign responsibilities, and help employees understand how AI should and shouldn’t be used. But policy alone can’t provide oversight and is almost impossible to enforce at scale without the right tools.

Why eBPF Is Useful for Watching and Sandboxing AI Agents

Most of our runtime security habits were built for deterministic workloads. A service does what its code says: review the code, sign the image, and its behavior is bounded. Agents are different. An agent’s behavior emerges from a model reasoning over whatever lands in its context window, and some of that context comes from places we don’t fully control — a retrieved document, a tool’s output, a user’s prompt.

Smarter onboarding and planning with Grafana Assistant: How to ensure observability is baked in from the start

It's Monday afternoon and that feature you've been working on is mostly done. There's just one item still sitting untouched at the bottom of the ticket: "Add monitoring." You know you should. You also know the sprint ends tomorrow, nobody on the team is an observability expert, and figuring out what to measure—let alone how to write the PromQL for it—feels like a project all on its own. So it gets the same treatment it always does: "We'll add it when it breaks.".

Seedream 5.0 Pro AI Image Generator: Advancing Creative Workflows for Modern Content Production

AI has quietly rewritten how digital content gets planned, designed, and delivered - across pretty much every industry that touches a screen. Somewhere in the middle of that shift sits Seedream 5.0 Pro AI image generator, drawing attention as part of a larger move toward creative workflows that don't just generate images, but actually fit together end to end. As AI-assisted design keeps maturing, creators, marketers, and businesses alike are gravitating toward tools that streamline visual production without sacrificing consistency across formats.

The Rise of Generative Engine Optimisation Services and What Businesses Need to Know

Search is changing in a way that feels subtle on the surface but significant underneath. People still type questions into Google, but they are also asking ChatGPT, Perplexity, Gemini, and other AI tools for direct answers, recommendations, summaries, and comparisons. In many cases, they are not clicking through a list of ten blue links first. They are reading a synthesised response and making decisions from there.