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Autoexp

Name: Autoexp
Author: Autoexp

Autoexp is a local-first experimentation infrastructure designed for coding agents that enables precise, reproducible testing, comparing, measuring, and optimizing of code within development environments. Its key features include creating isolated experiment boundaries, recording detailed logs, source inputs, outputs, metrics, and lineage, as well as providing a browser-based review interface for human feedback, solving problems related to experiment reproducibility, extensive result tracking, and transparent analysis, making it ideal for software developers, AI researchers, and anyone involved in engineering complex codebases and AI agent development.

Autoexp can be found in API Testing Tools categories.

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Consumer Type: B2B & B2C

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Autoexp Main Features

Record-Keeping
Autoexp saves all details like source code, inputs, logs, outputs, metrics, and reports.
Agent Integration
Use commands like /autoexp and /autoexp-review to run tests and review evidence within your AI agent.
Experiment Review
It provides a browser view for humans to review and give feedback on experiment results.
Workflow Guidance
Autoexp guides the agent to run focused experiments based on the instructions and evidence.
Simple Installation
You can install Autoexp easily using a script for macOS, Linux, WSL, or Windows PowerShell.
Experiment Boundaries
It keeps experiments separate from normal work for clear and reliable results.
Human Feedback Support
It allows humans to review and provide feedback on experiments through a browser interface.
Reproducible Experiments
It creates clear boundaries for experiments so they can be repeated exactly.
Local-First Experimentation
Autoexp runs experiments locally to ensure data and results stay on your device.

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