In the last year or so, I've been using AI-assisted coding, and I've gotten really used to it. I don't want to go back to the old way or be at a company that doesn't think that you should be using it. AI takes a lot of the load off of you. As an example, one thing that every developer has to do is make commit messages.
GitLab has launched the public beta of its GitLab Duo Agent Platform, an orchestration tool that enables developers to collaborate asynchronously with AI agents across the DevSecOps lifecycle. The platform, now available to GitLab.com Premium and Ultimate customers as well as self-managed installations, transforms traditional, linear development workflows into dynamic, multi-agent systems where AI handles routine tasks such as refactoring, security scanning, and research, while developers focus on complex problem-solving.
The short answer: AI isn't replacing developers-it's changing what developers do. While AI is undoubtedly transforming the programming landscape, we're witnessing an evolution in how software is built, with AI serving as a powerful collaborator rather than a replacement. Understanding this shift is crucial for anyone concerned about the future of programming jobs. The Current State of AI in Development Today's AI coding tools are impressively capable.
What started as a hedgehog-led love story is now a global community powerhouse, and these murals are its loudest statement yet. This transition illustrates how niche projects can evolve into significant movements.
The third preview release of .NET 10 introduces significant enhancements across various components, aiming to boost developer productivity and streamline application performance.
