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Storage For The AI Tidal Wave | VAST Data CEO Renen Hallak

May 19, 2026 By Megaport In Megaport
AI infrastructure is entering a new phase – one where the biggest challenge may no longer be building better models, but building systems capable of feeding them. In this episode of Uplink, Michael Reid sits down with Renen Hallak, Founder and CEO of VAST Data, to explore the infrastructure realities behind the AI boom. From software-defined storage and GPU-scale architectures to neoclouds and agentic AI, this conversation dives deep into the systems powering the future of artificial intelligence.
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speedscale

From Traffic Context to Confirmed Fix in 3 Minutes

May 18, 2026 By Ken Ahrens In Speedscale
We’ve been building an AI agent that can take a production bug, find the root cause in captured traffic, write a fix, and validate it before a human reviews it. We call it Agent Factory. Last week we ran it on ourselves, against a real bug in our own production service. The first thing we did was get the workflow wrong.
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speedscale

Anatomy of the AI Software Factory: The Context Layer

May 18, 2026 By Speedscale Team In Speedscale
This is Part 2 of the AI Software Factory series. In Part 1, we established that the Agile methodology is buckling under the weight of “elastic code.” When AI agents can generate functionality in seconds, two-week sprints and manual task management become organizational bottlenecks. We introduced the concept of the AI Software Factory: a shift from managing human tasks to managing business intent through a “Funnel of Increasing Trust.” But a factory requires infrastructure.
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gitkraken

GitLens vs VS Code Git Graph Ranked for Solo Devs

May 18, 2026 By Jade Nangah In GitKraken
Choosing the right Git extension for your VS Code setup can make the difference between a smooth workflow and hours lost hunting for context. GitLens, developed by GitKraken, and VS Code Git Graph both aim to enhance your Git experience, but they approach the problem differently. This article ranks both extensions across key workflow scenarios – merge conflicts, commit history, code review, debugging, UX, and performance – so you can pick the right tool for how you work.
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gitkraken

AI Productivity Metrics Dashboard for Engineering Managers (2026)

May 18, 2026 By Jade Nangah In GitKraken
Measuring AI’s impact on your engineering team is harder than it sounds. Headlines claim AI writes 30% of code and doubles productivity, but those numbers rarely match what you see on the ground. Without a dedicated dashboard that blends leading indicators, anti-gaming safeguards, and ROI reporting, you cannot answer the question that matters most: is AI helping your team ship better software faster?
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civo

What Vera Rubin means for AI infrastructure in 2027

May 18, 2026 By Civo Team In Civo
Every so often, NVIDIA releases something that quietly changes the direction of the industry. CUDA did it. DGX did it. NVLink did it. Vera Rubin feels like one of those moments again. At first glance, Rubin looks like the natural successor to Blackwell. Faster GPUs, larger memory pools, and eye watering performance numbers. But the more you dig into the architecture, the clearer it becomes that NVIDIA is not simply shipping another accelerator generation.
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harness

What a Context Graph Actually Is, and How to Build One | Harness Blog

May 18, 2026 By Dewan Ahmed In Harness
Engineers have been shipping pieces of "the graph" for years. Service maps. Dependency graphs. Knowledge graphs. RDF triples. The newest entrant is the context graph, and the reason it shows up now is specific: software is increasingly executed by agents, and agents need a model of how work actually happens, not just an index of what exists.
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harness

Core Java vs Enterprise Java: Jakarta EE, Spring Boot & Modern Trade-offs [2026 Guide] | Harness Blog

May 18, 2026 By Dewan Ahmed In Harness
‍ When you're architecting an enterprise Java application, one decision quietly shapes everything downstream: runtime footprint, deployment pipelines, and how your platform team handles incidents at 3 a.m. For two decades, that decision was framed as Java SE vs Java EE. In 2026, that framing has quietly inverted.
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