Agentic AI development tools: How to build your stack

Agentic AI development tools are software systems that utilize AI agents to automate various stages of the software development lifecycle, including code generation, review, testing, security scanning, and incident response, with minimal human intervention. These tools consist of two primary layers: the agent layer, which performs tasks across the development process, and the agentic infrastructure layer, which provides the necessary context, governance, and measurement to ensure agents operate safely and effectively. Selecting the right tools involves evaluating them based on criteria such as context access, integration, governance, output gating, autonomy, and openness. The infrastructure layer, which catalogs agents, provides organizational context, governs their actions, and measures their output, is crucial for integrating these tools into a cohesive system. The development of an agentic AI stack should prioritize the infrastructure layer to ensure safe and efficient operation of the agents, which can then be implemented to enhance software delivery processes.

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