A new open-source tool aimed at improving the reliability of AI workflows is gaining attention in the developer community after being shared on Hacker News.
On February 13, 2026, a user identified as “roninjin10” posted about Smithers, a declarative AI orchestration framework that uses a React-style approach to define and execute complex AI workflows. The tool is designed to help developers build deterministic, resumable AI applications suited for real-world production environments.
Declarative AI Plans Using JSX
At the core of Smithers is a React-inspired design philosophy. Instead of using JSX to render user interfaces, Smithers uses JSX component trees to define AI execution plans. Developers can structure workflows as sequences, parallel tasks or conditional branches, effectively creating a deterministic execution graph for AI operations.
This approach aims to reduce ambiguity in multi-step AI processes by making workflows explicit and inspectable. Each step is defined as part of a structured tree, enabling predictable execution and easier debugging.
Built for Reliability and Resumability
One of Smithers’ defining features is its focus on durability. The framework validates outputs and persists workflow state, allowing applications to resume from the last completed task if interrupted — such as during crashes or unexpected shutdowns.
This resumability is particularly relevant for long-running AI jobs, including data processing pipelines, agent-based systems and automated decision workflows. By storing state and validating structured outputs, Smithers attempts to address a common challenge in AI engineering: maintaining consistency across complex, multi-step operations.
The project’s documentation emphasizes reliability as a primary goal, positioning Smithers as a tool for “real-world AI applications” rather than experimental prompt scripts.
Community Feedback and Early Development
The creator has invited feedback from developers, particularly around usability, deployment options and production-readiness features. As an emerging open-source project, Smithers is still evolving, and early community discussion has focused on how it compares with other AI orchestration frameworks.
Interest in tools like Smithers reflects a broader trend in AI development. As businesses move from simple chatbot integrations to multi-agent systems and automated pipelines, the need for structured orchestration frameworks has grown. Developers increasingly seek deterministic control, state persistence and reproducibility in AI-driven systems.
While still early in adoption, Smithers represents another step in the evolution of AI infrastructure — shifting from isolated prompt execution toward composable, reliable orchestration models.