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Dynamic IDs Are Killing Your Replay Tests
Stop dynamic IDs from breaking your integration tests! Tired of manual copy-pasting for IDs in your test cycles? Learn how to use proxymock to help: Check out proxymock.io to get started for free!
The Godfather of AI Ready Data Centers | OCOLO CEO & Founder Tony Rossabi
AI is reshaping digital infrastructure, but the biggest challenge isn't always building bigger data centers, it's finding the power to run them. In this episode of Uplink, Michael Reid sits down with Tony Rossabi, Founder & CEO of OCOLO, to discuss how AI is changing the data center industry and what it takes to deliver the next generation of infrastructure.
AI is only one of four things driving the data center boom
Tony Rossabi, aka the Godfather, has spent 30 years in this industry. Car washes to Telx to building data centers. He sat down with our CEO Michael Reid to break down what’s actually happening underneath the AI headlines, from where the real demand is coming from, to why a single megawatt of power is so hard to find, and how a team of eight is building 19 ten-megawatt facilities across two continents in 24 months.
Track Deployment status for your PRs (Beta)
You shouldn’t have to leave your PR list to know where your code is deployed. Yet, developers constantly lose time context-switching just to see if a change hit staging or production. To solve this, we are launching the Beta version of Deployment Status Tracking for your PRs. This feature surfaces live deployment statuses directly within your PR list view as code moves through your pipeline.
Introducing Kepler | GitKraken's Agentic Development Environment (ADE)
Kepler is GitKraken's agentic development environment: mission control for running parallel coding agents at scale. Running one agent is easy. Running five of them across three repos is where things break: scattered terminals, no shared view, no idea what's done or stuck. Kepler puts every agent session on one surface so you can plan work, write code, and review what ships without losing track of anything.
GitKraken: The Code Flow Company
From plan to main. Software is no longer just a tool. It is the infrastructure of modern life. Software keeps airplanes in the sky and power flowing into our homes. It helps doctors save lives, scientists discover cures, farmers feed cities, and astronauts navigate space. It powers economies, protects supply chains, and connects billions of people across the world. Every major system humanity depends on now depends on software. Which means developers are no longer just building applications.
Self-hosted AI Is hard. Konstruct makes it simple.
Thousands of configuration options. Optimisations everywhere. No clear way to track what's running where. Civo Platform Engineer M R Rishi breaks down why running AI on your own infrastructure is harder than it should be and how Konstruct changes that.
Measuring engineering organizations in the age of AI
Engineering leadership is in the middle of a real transition, and most of the leaders I talk to know it. AI has reshaped how software gets built quickly enough that the operating models many of us spent a decade refining no longer fit cleanly, and there is a great deal of serious work happening across the industry to figure out how these models should evolve. The teams I find most impressive right now are the ones treating their operating model as an open question rather than a settled one.
Scaling Agentic Systems More Engineers Needed!
Will AI replace engineers? Hugo Charré from Cursor argues the opposite. In this clip from the upcoming summit, Hugo Charré (Cursor) explains why the number of engineers is going to grow as we scale agentic systems — and why AI raises the bar for who's on the team.