In 2025, AI is expected to shift from pilot and prototype phases into production, highlighting its importance in software development and DevOps processes. The article outlines how vendors will start integrating AI capabilities directly into workflows, rather than offering them as separate tools. This shift will increase productivity as generative AI becomes a foundational aspect of development environments. Additionally, Kubernetes will continue to dominate as a versatile tool across various applications, extending its influence beyond traditional cloud-native uses to a broader range of services and hardware solutions.
2025 will see AI transition from pilot phases to production, significantly impacting traditional software development as vendors introduce capabilities to blend DevOps workflows for both.
The future lies in built-in AI across the software development lifecycle, enabling seamless integration rather than isolated implementations, enhancing productivity within tool chains.
Kubernetes will dominate the landscape by expanding its use beyond cloud-native orchestration to encompass various products and services, including hardware-based solutions.
Integrating AI into existing workflows rather than having it as a bolt-on feature will revolutionize software development, allowing for enhanced productivity and efficiency.
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