antigravity-skills-reference/skills/loki-mode/benchmarks/results/SUMMARY.md

Loki Mode Benchmark Results

Generated: 2026-01-05 09:31:14

Overview

This directory contains benchmark results for Loki Mode multi-agent system.

Methodology

Loki Mode uses its multi-agent architecture to solve each problem:

1. Architect Agent analyzes the problem
2. Engineer Agent implements the solution
3. QA Agent validates with test cases
4. Review Agent checks code quality

This mirrors real-world software development more accurately than single-agent approaches.

Running Benchmarks

# Setup only (download datasets)
./benchmarks/run-benchmarks.sh all

# Execute with Claude
./benchmarks/run-benchmarks.sh humaneval --execute
./benchmarks/run-benchmarks.sh humaneval --execute --limit 10  # First 10 only
./benchmarks/run-benchmarks.sh swebench --execute --limit 5    # First 5 only

# Use different model
./benchmarks/run-benchmarks.sh humaneval --execute --model opus