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honeycomb

Introducing AI BubbleUp

Aug 5, 2026 By Kale Bogdanovs In Honeycomb
BubbleUp has always been the fastest way to figure out what a group of outliers have in common. Draw a box around a band of slow traces, a cluster of errors, or any set of events you're interested in, and BubbleUp compares that selection to the baseline across every dimension you've sent us. It's how Honeycomb users find the "unknown unknowns" that dashboards can’t show you.
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Cut AI coding defects by 33% #mcpserver #aicoding #aiagents #grafana #aitools

Aug 5, 2026 By Speedscale In Speedscale
We spend thousands of dollars "token maxing" and running endless debugging cycles just to walk our LLMs through a problem. But is the AI actually failing, or are we just withholding the right environment? Giving your AI assistant its own sandbox to test hypotheses might just be the missing link in your development workflow.
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Just ask AI to add OpenTelemetry to your code

Aug 5, 2026 By Cortex | Engineering Operations Platform In Cortex
OpenTelemetry instrumentation used to mean hours of manual work, wiring up metrics service by service. Now you can just ask for it. Tell an AI agent what you're trying to observe, something like "add OpenTelemetry so I can track this application's performance," and it turns that into an intent specification, then enriches your existing code with instrumentation to match. OpenTelemetry is open source and on GitHub. Pairing it with an AI agent that actually understands your codebase is what turns "add some metrics" into instrumentation that's useful.
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harness

AI SAST Explained: Why Traditional Application Security Is Reaching Its Breaking Point | Harness Blog

Aug 5, 2026 By Nicole Morgan In Harness
AI has fundamentally changed software development. Developers are writing more code than ever. AI coding assistants can generate features, tests, documentation, and infrastructure configurations in minutes. Engineering organizations are seeing meaningful productivity gains as AI becomes embedded throughout the software development lifecycle. But there is a catch. Security teams now face a difficult reality: application security was already struggling to keep pace with software delivery before AI arrived.
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harness

Chaos Hub in docs, Prompt Library for MCP: what's new in Resilience Testing | Harness Blog

Aug 5, 2026 By Pritesh Kiri In Harness
The latest Resilience Testing documentation update brings Chaos Hub directly into the docs, making it easier to discover and use fault, probe, and action templates. It also introduces a Prompt Library with ready-to-use AI prompts for Harness MCP, helping teams run resilience workflows faster using natural language.
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ivanti

The Industrial Mobile Browser Built for Supply Chain Work

Aug 5, 2026 By Rob DeStefano In Ivanti
Warehouse workers don’t think about whether their mobile interface runs on a browser. They’re focused on getting the job done. But for operations and IT teams evaluating or upgrading mobile technology in supply chain environments, platform choice matters more than most people realize. Consumer mobile browsers such as Safari, Edge and Chrome are useful tools designed for everyday web use. They help people search, shop, read, collaborate and access web applications from almost anywhere.
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logz.io

Open 360 AI's chat is now powered by OrionIQ

Aug 5, 2026 By Gavriel Mor In logz.io
OrionIQ’s agentic investigation is now built into Logz.io Open 360 AI. Ask a question and OrionIQ investigates across your telemetry, shows its work as it goes, links every finding back to the exact query behind it, and tells you how much to trust the answer. Today we’re bringing OrionIQ Chat into Open 360 AI. This is the first OrionIQ product to ship inside the Logz.io platform, and it’s the same agent that powers the standalone OrionIQ app, now available right where you already work.
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cloudzero

How to measure AI ROI: metrics and a framework finance can actually run

Aug 5, 2026 By Lyne Carolyne In CloudZero
To measure AI ROI, compare attributable value (revenue lift, cost savings, engineering time recovered, risk reduction) against fully loaded AI spend (API usage, subscriptions, infrastructure, people time) at the unit level: per initiative, per team, per task. The formula is simple. The instrumentation is the hard part, and it's where most organizations are failing: in CloudZero's 2026 survey, 34% of finance leaders couldn't produce a credible ROI number at all.
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civo

NVIDIA B300 vs. NVIDIA B200: Blackwell Ultra vs. Blackwell

Aug 5, 2026 By Dinesh Majrekar In Civo
The Blackwell architecture arrived in 2024 as NVIDIA's answer to the next era of AI compute. The B200 set a new standard for inference performance, memory capacity, and training throughput, and many teams are still ramping up their use of it today. Then came Blackwell Ultra. The B300 is built on the same silicon foundation as the B200: same dual-reticle die design, same TSMC 4NP process node, same NVLink 5 interconnect.
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