DevLooper is designed to simplify the end-to-end lifecycle of AI agent projects. With a single command you can generate boilerplate code for task-specific agents and step-by-step workflows. It leverages Modal’s cloud-native execution environment to run agents as scalable, stateless functions, while offering local run and debugging modes for fast iteration. DevLooper handles stateful data flows, periodic scheduling, and integrated observability out of the box. By abstracting infrastructure details, it lets teams focus on agent logic, testing, and optimization. Seamless integration with existing Python libraries and Modal’s SDK ensures secure, reproducible deployments across development, staging, and production environments.

Jina AI is a leading provider of cloud-native neural search solutions. Their open-source framework leverages state-of-the-art deep learning to enable businesses and developers to efficiently handle and search through diverse data types. This approach facilitates seamless deployment, scaling, and orchestration of search systems, making it ideal for enterprises looking to improve information retrieval and data management capabilities.