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speedscale

Let Your LLM Debug Using Production Recordings

Jan 11, 2026 By Matthew LeRay In Speedscale
Modern LLM coding agents are great at reading code, but they still make assumptions. When something breaks in production, those assumptions can slow you down—especially when the real issue lives in live traffic, API responses, or database behavior. In this post, I’ll walk through how to connect an MCP server to your LLM coding assistant so it can pull real production data on demand, validate its assumptions, and help you debug faster.
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Komodor

AI SRE in Practice: Resolving GPU Hardware Failures in Seconds

Jan 11, 2026 By Itiel Shwartz In Komodor
When a pod fails during a TensorFlow training job, the investigation usually starts with the obvious questions. The answers rarely come quickly, especially when the failure involves GPU hardware that most engineers don’t troubleshoot regularly. This scenario walks through an actual GPU hardware failure and shows how AI-augmented investigation changes both the time to resolution and the expertise required to handle it.
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Cloud Strategy for 2026: the Year of Repatriation, Resilience, and Regional Rebalancing

Cloud Strategy for 2026: the Year of Repatriation, Resilience, and Regional Rebalancing

Jan 10, 2026 By Pulsant In Pulsant
This year is set to be a pivotal year for cloud strategy, with repatriation gaining momentum due to shifting legislative, geopolitical, and technological pressures. This trend has accelerated, with a growing focus on data sovereignty. These challenges have set the stage for 2026 to be the year of repatriation, resilience, and regional rebalancing. Here, Rob Coupland, Chief Executive Officer at Pulsant, offers his insights.
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upsun

AI coding assistants are only as good as the context you give them

Jan 9, 2026 By Upsun In Upsun
AI coding assistants have quickly become part of everyday development. Teams now rely on them to explain unfamiliar code, suggest configuration files, debug errors, and accelerate delivery across the stack. But as these tools move from experimentation into real production workflows, a consistent pattern is emerging: AI breaks down at the platform boundary.
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germain ux

Beyond the Blue Link: UX Patterns for Google's AI Overviews, AI Mode & Answer Engines

Jan 9, 2026 By Germain UX Team In Germain UX
The blue link is dying—but not in the way we expected. When Google’s AI Overviews began appearing at the top of the search results page, the SEO community panicked. Publishers watched click-through rates plummet. The Pew Research Center confirmed their fears: searchers who encounter an AI summary are half as likely to click on traditional search results (8% vs. 15%).
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VictoriaMetrics

Vibe coding tools observability with VictoriaMetrics Stack and OpenTelemetry

Jan 9, 2026 By Alexander Marshalov In VictoriaMetrics
AI-powered coding assistants have transformed how developers write software. Tools like Claude Code, OpenAI Codex, Gemini CLI, Qwen Code, and OpenCode have introduced what many call “vibe coding” — a new paradigm where users describe their intent and AI agents handle the implementation details. But as these tools become integral to development workflows, a critical question emerges: how do we understand what’s happening under the hood?
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Lightrun MCP: Your AI Assistant Now Debugs and Validates Production Code

Jan 9, 2026 By Lightrun In Lightrun
Intermittent production bugs are hard to debug and rarely reproduce locally. Teams fall into a loop of adding logs, and every rollback slows them down. In this demo, R&D team leads Maor Yaffe and Or Golan show how an AI assistant can verify production issues using real runtime data, without redeploying. By connecting Cursor to Lightrun MCP, the agent inspects live production behavior, collects real variable values, and confirms the root cause with evidence instead of assumptions.
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What the Latest Google "AI Mode" Means for Users Who Care about Privacy and Better Experiences

What the Latest Google "AI Mode" Means for Users Who Care about Privacy and Better Experiences

Jan 9, 2026 By OpsMatters In OpsMatters
When Google introduced its AI highlights above the main search results, we thought that was all the company would push to prove its determination to turn traditional Google Search, praised by businesses for expansive SEO opportunities, into an AI-powered experience. But if you live in the U.S. and have recently paid attention to the Google homepage, there's a new button called "AI Mode." Well, it turns out the company is still working hard not to lose its dominance to competitors.
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manageengine

Top tips: RAG isn't the problem, context is. Here are 3 fixes.

Jan 8, 2026 By Alsherin In ManageEngine
Top Tips is a weekly column where we highlight what’s trending in the tech world and list ways to explore these trends. This week, we’ll be talking about how we can improve our retrieval-augmented generation (RAG) systems using contextual engineering. Prompt engineering has gained a lot of attention in the past year, and it’s finally time to move on to a better experience that transforms the way AI results are provided to us.
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