AWS Adds Agentic Workspace to Kiro AI Coding Tool

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Amazon Web Services (AWS) this week added an open source workspace for its Kiro artificial intelligence (AI) coding tool that enables application developers to asynchronously assign tasks to an AI agent that is capable of autonomously performing tasks, such as testing code as it is created, in a way that maintains context across multiple sessions. Darko Mesaros, a distinguished developer advocate at AWS, said the Kiro Crew workspace is also capable of creating reusable AI skills by observing the tasks developers assign to Kiro as they write code. Kiro Crew orchestrates agents using the Agent Client Protocol (ACP) to ensure every step is observable in real time as sub-agents are spawned. For example, developers can also hand off a ticket queue to Kiro Crew for it to triage issues and flag what needs their attention or ask it to investigate the root cause of an incident while a developer continues to work on another task. An Activity view shows each agent’s reasoning, every tool call, and the results as they happen, with one card per agent on the dashboard. The overall goal is to remove more of the toil that takes time away from ensuring that the underlying architecture of the application being created is optimized for a specific use case, said Mesaros. In many ways, Kiro Crew provides many of the same capabilities as a general-purpose AI agent such as OpenClaw that has been designed for application developers, said Mesaros. Unlike a general-purpose AI agent, however, Kiro Crew provides an operating system-level sandbox, denied-by-default commands, suspicious-pattern …

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