StepFun Showcases Step 5 Preview and Step Code at AI Engineer Shanghai 2026
The pairing of Step 5 Preview with an open-source Agent Harness signals that StepFun is treating agent reliability over long task horizons as a product-level problem, not just a model problem. Developers building agentic workflows can examine Step Code as an open alternative to proprietary agent frameworks from labs like OpenAI or Anthropic. The event also underscores StepFun's push to build a developer community around its stack.
StepFun (StepFun AI) presented at AI Engineer Shanghai 2026, running live demos and booth conversations with developers. Ailing Teng spoke on stage about how Step 5 Preview and the open-source Agent Harness, Step Code, work together. The talk focused on helping agents stay on track and reliably execute long-horizon tasks. The company gave no new release dates, pricing or benchmark figures in the post.
Great to be at AI Engineer Shanghai 2026!
Thanks to everyone who stopped by our booth! It was great connecting with developers, sharing live demos, and exchanging ideas on long-horizon agents and the future of agentic AI.
Our very own Ailing Teng @EileenTal also took the stage to share how Step 5 Preview and our open-source Agent Harness, Step Code, work together to help agents stay on track and reliably execute long-horizon tasks.
We really appreciated all the thoughtful conversations throughout the event.
Stay tuned for what we're building next!
