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Announcing the Developer-First Framework for Building Composable, Production-Ready AI Agents

Today marks the launch of Shuttl AI, a revolutionary open-source framework designed to help developers build, deploy, and manage AI agents that actually work in production. By replacing fragile, prompt-heavy architectures with a code-first system of composable primitives: Agents, Tools, Triggers, and Outcomes. Shuttl AI enables engineers to move from a "hello world" script to a scalable agentic workflow in under five minutes.


The Complexity Gap in AI Development

While LLMs have become more powerful, the infrastructure required to turn them into reliable agents remains fragmented. Developers today struggle with:

  • Brittle Orchestration: Chaining prompts and tools in complex, hard-to-debug YAML or JSON configs.
  • Infrastructure Overhead: Setting up cron jobs, webhooks, and streaming endpoints manually for every new agent.
  • Zero Observability: Flying blind when an agent fails to call a tool or hallucinates in a multi-turn conversation.

Enter Shuttl AI: Build with Primitives

Shuttl AI bridges this gap by treating AI agents as modular software components. It introduces four core primitives:

  1. Agents: The brain, combining models with system prompts and context.
  2. Tools: The hands, giving agents the power to query databases, call APIs, and execute code.
  3. Triggers: The ears, allowing agents to respond to API calls, schedules, emails, or file changes.
  4. Outcomes: The voice, routing responses to Slack, webhooks, or real-time streaming interfaces.


"We built Shuttl because building an AI agent shouldn't require a PhD in distributed systems,"* said the Shuttl AI team. *"With Shuttl, if you can write a TypeScript or Python function, you can ship a production-ready AI agent. It's about bringing the best of software engineering—type safety, hot reloading, and modularity—to the world of AI."


Key Features for Modern AI Teams

  • Developer Experience (DX) First: A powerful CLI and TUI for real-time debugging, hot reloading, and agent inspection.
  • Multi-Language Support: First-class support for TypeScript, Python, Go, C#, and Java.
  • Batteries Included: Built-in support for OpenAI, Anthropic, and open-source models through a unified interface.
  • Production-Ready by Design: Automatic retries, streaming responses, and built-in secrets management.

Get Started Today

Developers can install the Shuttl CLI and deploy their first agent in minutes:

```bash

curl -fsSL https://shuttl.io/install.sh | bash

shuttl dev

```

For more information, visit shuttl.io or explore the documentation.


Interested in learning more?

Build AI Agents That Actually Work.

Shuttl AI is the composable framework that brings software engineering discipline to AI orchestration. Swap fragile prompts for type-safe code. Move from 'Hello World' to a scalable, observable agentic workflow in under five minutes.