{% extends "base.html" %} {% block title %}{{ app_name }} — Bayesian Autoresearch{% endblock %} {% block content %}
Autonomous experiment engine inspired by Karpathy's Autoresearch, guided by Bayesian Teaching Intelligence. The system picks the most informative experiment, executes it time-boxed, measures the metric delta, and keeps or discards via git.
| ID | Domain | Category | Hypothesis | Pre | Post | Delta | Decision | Date |
|---|---|---|---|---|---|---|---|---|
No experiments yet. Run python tools/autoresearch/experiment_engine.py --loop --domain compliance --json to start. | ||||||||
| Domain | Metric | Direction | Keep Threshold | Time Budget |
|---|---|---|---|---|
| compliance | gate_pass_rate | maximize | 1% | 5 min |
| code_quality | maintainability_score | maximize | 0.5% | 5 min |
| security | inverse_vulnerability_density | maximize | 0.5% | 5 min |
| rag_quality | retrieval_relevance@5 | maximize | 1% | 5 min |
| pulse_quality | writeguard_score | maximize | 2% | 3 min |
| skill_quality | assertion_pass_rate | maximize | 1% | 5 min |