4. Multi-agent development: Treated Claude, ChatGPT, Windsurf, and Cursor as team members with defined roles. SITREP protocol for coordination. 4x parallel execution.
Results:
- 120 models, 9.2/10 quality score
- 140 chaos tests, 100% pass rate
- MCP server for Claude Desktop
- 22 months, solo founder
hummbl-dev•9m ago
The meta-recursive twist: I used the framework's own models to architect, validate, and deploy it.
Key technical decisions:
1. 6 transformations, not categories: Perspective, Inversion, Composition, Decomposition, Recursion, Systems. Every model maps to exactly one.
2. Base-N scaling: Base6 for literacy, Base42 for wicked problems, Base120 for pedagogical completeness. Match complexity to problem tier.
3. Quantitative wickedness scoring: 5-question rubric (variables, stakeholders, predictability, interdependencies, reversibility) replacing subjective tier assignment.
4. Multi-agent development: Treated Claude, ChatGPT, Windsurf, and Cursor as team members with defined roles. SITREP protocol for coordination. 4x parallel execution.
Results: - 120 models, 9.2/10 quality score - 140 chaos tests, 100% pass rate - MCP server for Claude Desktop - 22 months, solo founder
Tech stack: React, Cloudflare Workers, D1, TypeScript
Links: - Live: hummbl.io - MCP: npm @hummbl/mcp-server - Case study: https://github.com/hummbl-dev/mcp-server/blob/main/docs/case...
Would love feedback on the framework architecture and multi-agent coordination approach. AMA about the development process.