The Hidden Cost of Validating AI-Generated Code
For a 50-developer team operating at agentic pace, validation-related delivery costs can approach $900K a year.
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Should you still use MCP?
Watch the full episode: MCP vs CLI: Does it even make a difference? Live Laugh Logs ep. 3.
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.
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.
Your Production System Is Now in Your Pocket | Harness Blog
In April, Harness announced the Harness Cursor Plugin, a native integration that lets developers manage CI/CD pipelines, deployments, and security posture using natural language inside Cursor, governed by the same RBAC, OPA policies, and audit trails already enforced across the Harness platform. That experience has, until now, lived entirely at a desk.
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.
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.
Meet Assistant Workspace: Full-page experience for Grafana Assistant
Introducing Assistant Workspace, a full-page surface for Grafana Assistant, built for the conversations that outgrow a sidebar. Dig into longer investigations, compare data side by side, and keep your train of thought in one place — then turn what you find into a dashboard without starting over. When a quick question becomes a real investigation, open it in Workspace and keep going. In this video, Ed Poole gives us a demo of how to use Workspace, including the use of canvases to see more information than before.
AI Week: Monday announcements
AI Week has begun! Check out grafana.ai for more details on what we've announced and what else is coming out today.
Claude Opus 5 pricing: same sticker, different bill
Claude Opus 5 launched July 24, 2026 at $5 per million input tokens and $25 per million output tokens, identical to Opus 4.8. It delivers near Claude Fable 5 performance at half Fable's price and is now the default model on Claude Max. New effort settings let teams trade capability for token savings, which means two teams on identical pricing can now run up very different bills. Finance teams, that last part is your problem. Anthropic has shipped a model that costs exactly what the old one cost.