GitKraken Desktop 12.0 Live: Agent Mode, Real Workflows, No Filters
GitKraken Desktop 12.0 Live: Agent Mode, Real Workflows, No Filters.
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The latest News and Information on DevOps, CI/CD, Automation and related technologies.
The Problem With AI Token Caps
Your engineers don't suddenly become less valuable because they hit a token cap.
Teamwork Collection: Built for the Next Era of Teamwork
Your team's best ideas shouldn't get lost between the doc, the ticket, and the meeting recording — but that's exactly what happens when AI lives outside your workflow. Teamwork Collection by Atlassian puts AI agents and your team on the same page — literally. Ideas flow to execution, agents pull context from your actual projects, and the line between "human work" and "AI work" starts to disappear.
Devart Brings AI Agents Closer to Enterprise Data with New MCP Server Product Line
We are excited to announce the release of the brand new line of MCP Servers (Model Context Protocol), designed to connect AI assistants, AI agents, and large language models directly to enterprise databases and cloud business platforms. The release includes 19 specialized MCP Servers and the flagship Universal MCP Server, which enables AI access to virtually any data source through the ODBC standard.
Canonical announces fully Managed Kubeflow AI operations platform on the Microsoft Azure Marketplace
Canonical, the publisher of Ubuntu, today announced the general availability (GA) of Managed Kubeflow on the Microsoft Azure Marketplace. This solution enables AI teams to get a fully managed, production-ready MLOps platform in their own tenant. Upstream Kubeflow is a powerful tool for machine learning, but it remains notoriously challenging to deploy and maintain.
Developing web apps with local LLM inference
I’ve yet to meet a developer that enjoys working with metered AI APIs. The need to pay for every API call in development works in direct opposition to the ethos of rapid iteration, and it’s easy for the costs to get out of hand. That’s why Canonical has created a different approach to building AI-powered applications; one where the model lives inside your app, not behind a pay-per-token HTTP call.
A Practical Guide to Refactoring Production Databases | The Tony and Tonie show Ep44
That “simple” production database refactor may be more dangerous than it looks. Learn how Data Modeler helps teams minimize the risk. Once a database is live, even simple design improvements can affect data, applications, reports, and integrations in unexpected ways. Tony and Tonie discuss how Redgate Data Modeler helps teams map out the proposed changes visually, expose hidden dependencies, and plan a safer roll out.
HAProxy Enterprise WAF protects against Drupal core SA-CORE-2026-004 SQL Injection (CVE-2026-9082)
On May 20th, 2026, the Drupal Security Team published a new advisory disclosing a security vulnerability report in the database driver of the Drupal content management system. The issue affects installations configured to use PostgreSQL as their database, leading to a possible SQL Injection.
Stop Token Maxing: Mock Your LLM API Calls and Cut AI Costs to Zero
Stop wasting money on AI API tokens in your local, test, and CI environments. In this demo, I show how to record real LLM responses and replay them for free using proxymock and stop surprise bills.