From prompts to specs: AWS’s Kiro signals the next phase of AI coding tools

AWS has previewed Kiro, a new agentic AI-driven integrated development environment (IDE) that the hyperscaler claims is better suited for structured, large-scale software development workflows, favored mostly by enterprise engineering teams seeking automation, traceability, and production-grade code quality.

Unlike traditional AI coding assistants that rely on ad-hoc prompts, Kiro introduces a spec-first workflow that mirrors how large engineering teams plan, design, and ship code, making it a strategic choice for enterprises prioritizing reliability, documentation, and collaboration, said Jason Andersen, principal analyst at Moor Insights & Strategy.

Spec-driven development (SSD), in the context of agentic IDEs, such as Kiro, means a three-step process where a developer or a team of developers first defines what the application should do, and then an agent or agents build and test it to match the specification defined by the team.

The third step, often described as the refinement phase, involves revisiting the initial specification to reflect any changes or insights gained during development, ensuring it accurately represents the final application.