Deterministic Multi-Agent Consensus for Automated Pull Request Triage
Objective & Abstract
Formulating a deterministic voting protocol across specialized reviewer agents to identify logic errors and test gaps in Python code with state guardrails.
Investigated Methodologies
- State-machine graph traversal
- Majority-vote consensus
- Pydantic schema enforcement
Datasets & Benchmarking Corpora
Synthetic Git Pull Requests (150 test instances)
All training and evaluation datasets undergo ethics audit and licensing compliance per AIAC Research Council standards.