Show HN: DevBox – An execution contract to end AI agent instruction fatigue (github.com)

DevBox, a new development tool designed to streamline the integration of AI agents into coding workflows, has been unveiled. Born from the frustration of developers facing bottlenecks between local testing and cloud deployment, DevBox provides a lightweight, language-agnostic execution contract that enables AI agents to interact with a project's codebase seamlessly. The tool eliminates the disconnect between local environments and production systems by allowing agents to execute commands, read logs, and respond to failures autonomously—transforming traditional development processes into orchestrated workflows. The significance of DevBox within the AI/ML community lies in its potential to enhance efficiency and autonomy in AI-driven development. By creating a standardized, explicit framework that defines how projects are initialized, validated, and managed, DevBox aims to replace fragmented and often undocumented execution methods. With built-in policies that govern agent interactions and a deterministic command structure, the tool minimizes risks associated with unregulated execution while maintaining flexibility for developers. Ultimately, DevBox aspires to redefine development dynamics, allowing both human developers and AI agents to operate within clearly defined parameters, thereby fostering a more collaborative and innovative coding environment.