ADL-CLI – Generate enterprise-grade AI agents from a YAML spec (github.com)

The ADL-CLI is a new command-line tool designed to streamline the creation of production-ready agent-to-agent (A2A) AI servers from YAML-based Agent Definition Language (ADL) specifications. By generating complete project scaffolding—including boilerplate code, CI/CD pipelines, deployment configs, and sandbox environments—developers can rapidly build, validate, and deploy AI agents with consistent architecture and integrated enterprise features like authentication, source control, and auditing. This schema-driven approach supports multiple AI providers such as OpenAI, Anthropic, Google, and more, enabling flexible multi-model integration. Significant for the AI/ML community, ADL-CLI offers automated generation of robust, scalable AI agents, accelerating development cycles while enforcing best practices through built-in schema validation and extensive configuration options. Developers define agent capabilities, skills, provider settings, and deployment targets (e.g., Kubernetes, Cloud Run) in a unified YAML file, which drives code generation in languages like Go and Rust—with TypeScript support forthcoming. Smart features include .adl-ignore for protecting code, semantic-release-based continuous delivery, AI assistant instruction generation, and sandboxed environments with AI pair programming tools such as claude-code. Overall, ADL-CLI presents a powerful framework for enterprises and developers seeking efficient, standards-compliant AI agent deployment with strong lifecycle management, customizable workflows, and multi-cloud readiness, though its early-stage status advises cautious adoption in production environments.