In the era of AI copilots and code generation tools productivity is skyrocketing, but so is the risk of insecure, untested, or messy code slipping into production.How do you ensure it doesn’t introduce vulnerabilities, bugs, or bad practices?  A widely adopted tool to help address these concerns is SonarQube.It provides a rich set of rules and quality gates to analyze code for bugs, test coverage, code smells, and security issues.But there’s a common pain point:the feedback loop.You often need to switch between your

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In today’s fast-paced world of software development, product teams are expected to move quickly:building features, shipping updates, and reacting to user needs in real-time.But moving fast should never mean compromising on quality or security. Thanks to modern tooling, developers can now maintain high standards while accelerating delivery.In a previous article, we explored how Testcontainers supports shift-left testing by enabling fast and reliable integration tests within the inner dev loop.In this post, we’ll look at the security side of this shift-left

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We’re excited to announce a major evolution in how we deliver Docker Desktop updates to you.Starting with Docker Desktop release 4.45.0 on 28 August we’re moving to releases every two weeks, with the goal of reaching weekly releases by the end of 2025.

Why We’re Making This Change

You’ve told us you want faster access to new features, bug fixes, and security updates.By moving from a monthly to a two-week cadence, you get:

Earlier access to new features and

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Every developer remembers their first docker run hello-world.The mix of excitement and wonder as that simple command pulls an image, creates a container, and displays a friendly message.But what if AI could make that experience even better? As a technical writer on Docker’s Docs team, I spend my days thinking about developer experience.Recently, I’ve been exploring how AI can enhance the way developers learn new tools.Instead of juggling documentation tabs and ChatGPT windows, what if we could embed AI assistance directly into the learning

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The market for pre-hardened container images is experiencing explosive growth as security-conscious organizations pursue the ultimate efficiency:instant security with minimal operational overhead.The value proposition is undeniably compelling—hardened images with minimal dependencies promise security “out of the box,” enabling teams to focus on building and shipping applications rather than constantly revisiting low-level configuration management. For good reason, enterprises are adopting these pre-configured images to reduce attack surface area and simplify security operations.In theory, hardened images deliver reduced setup

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