
Coordinated Agent Swarm Testing
Deploy 100 AI agents — each with a unique testing persona — to systematically analyze any codebase for bugs, security issues, and code quality. A structured substitute for human beta testing at 1% of the cost.
Comparable human beta testing: 20 testers, 2 weeks, $2,000–$20,000
Scans your project, discovers source files, and organizes them into five specialized squads. Auto-detects language and framework.
Five analysis squads — Security Auditors, Logic Analysts, Robustness Testers, Performance Engineers, and Data Integrity Inspectors — each with 20 unique personas.
Each agent gets a unique persona (archetype + scenario + focus areas) and analyzes the source code independently, returning structured JSON findings with file names, line numbers, and severity.
Deduplicates findings using content fingerprinting, computes cross-squad confidence scores, and generates a categorized report with severity breakdown.
Requires ANTHROPIC_API_KEY environment variable.
{
"mcpServers": {
"cast-swarm": {
"command": "npx",
"args": ["-y", "cast-swarm-mcp"],
"env": {
"ANTHROPIC_API_KEY": "sk-ant-..."
}
}
}
}Adds cast_scan, cast_full, and cast_report tools to Claude.
“CAST: Coordinated Agent Swarm Testing as a Substitute for Human Beta Testing in Web Application Development”
Julie Golston, Scaffold Studios · 2026