vibeval 0.5.0

vibeval (Vibe Coding Eval) — AI application testing framework

vibeval — Vibe Coding Eval

A fast evaluation framework for AI applications. Install Claude Code and the vibeval CLI to get an end-to-end workflow from code analysis to test generation to evaluation.

What Problem Does It Solve

Traditional software testing frameworks cannot assess the quality of AI outputs; traditional AI evaluation platforms rely on dataset construction and cannot keep up with the pace of feature iteration. vibeval strikes a balance between the two:

• Analyze your code via VibeCoding to quickly generate synthetic data and test cases
• Deterministic rules + LLM semantic judgment for dual-layer evaluation
• Cross-version comparison to track quality changes over time
• Language-agnostic: generated test code adapts to your project's framework without depending on the vibeval package

Prerequisites

• Claude Code
• Python 3.10+

Installation

# Install the vibeval CLI
pip install vibeval

# Install the Claude Code plugin (run this inside Claude Code)
/install-plugin https://github.com/SandyKidYao/vibeval

Usage

Before first use, verify that the LLM provider is set up correctly:

vibeval check

Then run the unified workflow inside Claude Code:

/vibeval meeting_summary

The /vibeval command detects your project state and guides you through the appropriate phase:

• New project — Scans for AI code, suggests features to test, runs the full pipeline
• In progress — Verifies existing artifacts, continues from where you left off
• Complete — Detects code changes for incremental updates, or lets you re-run, add tests, or modify designs

Each phase (analyze → design → code → synthesize → run) pauses for your review before continuing. Every step produces editable intermediate files.

Cross-Version Comparison

# Statistical comparison
vibeval diff meeting_summary run_a run_b

# LLM deep comparison
vibeval compare meeting_summary run_a run_b

Interactive Dashboard

vibeval serve --open

Launch a web dashboard to browse all features, view test results and traces, visualize trends across runs, and manage datasets and judge specs.

Data Validation

# Validate datasets and results against protocol format
vibeval validate meeting_summary

Checks manifest structure, judge specs, data item fields, _mock_context, trace format, and cross-references before you run the judge.

Other Commands

# Show evaluation summary
vibeval summary meeting_summary latest

# List features and runs
vibeval features
vibeval runs meeting_summary

# See all commands
vibeval --help

License

MIT