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The latest News and Information on DevOps, CI/CD, Automation and related technologies.

Keep your Agents Under Control with agent-belt

You’re shipping a product with an AI-facing interface, or embedding AI-facing interfaces across your existing product line – skills your customers trigger, MCP servers their agent reaches for. Indie author or enterprise, your code runs in someone else’s agent runtime, against a model that updates every other day and a CLI that updates every other week. Cursor 2026.05.05-84a231c rolls out. Claude Code 2.1.132 lands the same week. OpenAI bumps gpt-5.5.

How to Build AI Agents for Enterprise Operations | Agent Builder Demo

Episode 4 of Resolve Reels is live! See how Agent Builder helps teams create purpose-built AI agents with the right guardrails, routing logic, and orchestration for enterprise operations. In this episode: Build specialized agents with defined responsibilities Improve routing with conversation starters and guardrails Test and operationalize agentic AI at scale This is how enterprises move toward Autonomous Operations and Zero Ticket IT.

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

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.

Early Warning Signs Your Network Needs a Refresh

Is your network holding your business back? Learn the warning signs that tell you it’s time for an upgrade before it hits your bottom line. Most network failures don’t just happen overnight, but are the result of warning signs that went unnoticed or ignored. The “if it’s not broken, don’t fix it” mindset is one of the most common and costly mistakes in network management.

AI Dev Tools: What 100K Engineers at Google Really Taught Us

AI developer productivity, agentic workflows, and the lessons learned running engineering tools for 100,000+ software engineers at Google. John Montgomery, CCO at GitKraken, sits down with Asim Hussain, co-founder of Alterion AI and former Google VP of Engineering Productivity, to get real about what AI actually changes for engineering teams in 2025.

The 5 Hats We Wear During Code Review

If you are a software developer or engineer, you most likely have to do code review. At the bare minimum, you probably have had your pull requests reviewed. If you haven’t, then you are probably curious about how the rest of the world deals with the process. In general, we use code review to make sure we are shipping high quality code that does what it’s supposed to and is easy to maintain. That’s the goal, at least. In practice, code review can get messy.

From Traffic Context to Confirmed Fix in 3 Minutes

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.

Anatomy of the AI Software Factory: The Context Layer

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.

What Vera Rubin means for AI infrastructure in 2027

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.