Have you ever found yourself staring at endless Groovy scripts, Terraform configurations, or Ansible playbooks—thousands of lines of complex code—just to manage your CI/CD pipelines and provision infrastructure on AWS or Azure? These tasks can be intellectually stimulating, but they are also time-consuming and energy-draining.
Everything changed when I learned about Low-Code and No-Code DevOps. It was like having an assistant that makes the difficult tasks much easier and more accessible.
We’ve probably already heard about Amazon Bedrock from previous articles, but today I want to dive deeper into Amazon Bedrock Agent. In this era where AI is increasingly playing a role in daily life and business, we don’t just need an AI that answers questions like before; we need an “assistant” that can help us with real tasks.
The initial adoption of AI in software development was primarily characterized by using AI as a coding assistant or as a tool to generate code in response to prompts entered by developers. The AI would create source code or fix errors according to instructions. While this increased coding speed, it lacked deep contextual understanding of the entire project. This approach, known as ‘prompt engineering’ resulted in AI-driven development lacking repeatability and traceability, leading to what’s called ‘vibe coding’ an unstructured development approach that may produce results inconsistent with project standards…
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