An agent-native setup kit for turning a well-scoped repo into a supervised multi-agent coding loop, with Beacon loop planning. Stop prompting coding agents one task at a time. Give your repo a loop.
Language-agnostic best practices for building reliable agentic loops. Pillar-by-pillar guide to goals, persistent state, verification gates, guardrails, and anti-patterns. Zero dependencies.
Agent loop patterns and reusable Codex queue-loop template
AI agent patterns in C# / .NET 10 — 6 working projects covering tool orchestration, ReAct loops, RAG with grounded retrieval, MCP server implementation, and agent memory systems. Docker-ready, OpenAI/Claude/Gemini compatible.
A closed agent loop you can verify — runs in an EigenCompute TEE, signs every result, verified in your browser
Loops, not prompts. A curated list of loop engineering patterns, tools and templates for AI coding agents.
9 reusable SKILL.md files for Claude Code and AI agents — keep-green, prod-watch, hill-climb, adversarial-verify, closed-loop, fleet-loop, and more.
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