Step Code includes StepPage for one-command static site publishing

SStepFun9/22/2026, 09:49:33

Step Code includes StepPage, which publishes a local static site to a shareable URL with one command.

Version management and rollback are built in, so development, debugging, and delivery can remain in the same terminal.

#step-code #steppage #stepfun #developer-tools

Previous articleStep Code can be installed on macOS, Linux, or WSL Next articleStepFun open-sources Step Code v0.1.0 under the MIT License

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Step Code can be installed on macOS, Linux, or WSL

StepFun provides a bash script to install Step Code on macOS, Linux, or WSL. On Windows, it recommends WSL and says PowerShell support is currently in beta.

SStepFun•9/22/2026, 09:57:28•

#step-code #stepfun #installation #developer-tools

StepFun open-sources Step Code v0.1.0 under the MIT License

StepFun has released the Step Code v0.1.0 command-line tool as open source under the MIT License, including one-command static site publishing with StepPage. StepFun reports 80.9% on Terminal-Bench 2.1 and 73.3% on Multi-Frame, its 150-task long-horizon benchmark.

SStepFun•9/22/2026, 09:51:11•

#stepfun #step-code #open-source #cli #terminal-bench

StepFun open-sources terminal coding agent Step Code v0.1.0

Step Code v0.1.0 is an MIT-licensed CLI agent that reads and edits code, runs tests, and ships from one command line. StepFun reports 80.9% on Terminal-Bench 2.1 and 73.3% on Multi-Frame, its 150-task benchmark, and includes one-command publishing with StepPage.

SStepFun•9/22/2026, 09:20:44•

#step-code #stepfun #coding-agent #open-source

Step 5 Preview ranks No. 7 among open-weight models on Vals

Vals AI says StepFun’s Step 5 Preview has debuted on the Vals leaderboard at No. 7 among open-weight models, just ahead of Qwen 3.8 Max, at $2.54 per task.

SStepFun•10/3/2026, 15:20:22•

#stepfun #step-5-preview #vals #leaderboard

StepFun says it has open-sourced onPanda

StepFun says onPanda, its internal tool for LLM data annotation and model inspection, is now open source. It reports a 52% lower median annotation time than manual post-editing and on-policy fidelity of ΔPPL under 1% versus the model’s resampling baseline.

SStepFun•9/22/2026, 10:50:44•

#stepfun #onpanda #open-source #data-annotation #llm

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