Headless product design for AI coding agents, backed by a transactional product graph | Design how it works, verify what you ship.

Comprehensive sets of standards and practices designed to elevate the capabilities of AI coding agents.

Templates and workflow for generating PRDs, Tech Designs, and MVP and more using LLMs for AI IDEs

a recursive self-improving harness designed to help your agents (and future iterations of those agents) succeed on any task

Multi-harness control protocol that turns requests into approved design contracts, orchestrating isolated worker sessions for sequential implementation and independent code reviews under Orca supervision for Claude Code, Codex, Cursor, Antigravity, and other AI coding agents.

AI-powered cascading development framework. Decompose complex projects into parallel executable tasks with auto-generated PRDs, design docs, and multi-agent collaboration (Claude Code, Codex, Aider).

Tool-agnostic 13-phase AI development pipeline — turns a task description into reviewed, committed code through automated design, adversarial review, security, test, and code-review gates. One bash engine, balanced Opus/Sonnet routing, self-healing commit review.

Practical patterns, starters & CLI tools for loop engineering with AI coding agents. Design systems that prompt and orchestrate agents (inspired by Addy Osmani and Boris Cherny). Includes loop-audit, loop-init, loop-cost.

Self-evolving second brain with 33 AI skills, 10 agents, and people CRM. Closed-loop harness: a V-model verification lifecycle where the worker never grades its own homework. Plus paired anti-slop design skills for marketing and product UI. Works with Claude Code, Cursor, Kiro, Gemini CLI, Codex.

Build Your Agent Company with OMC

💾 MOI: agent-agnostic generative UI workspace. Give your agent a skill and let it build software around itself.

Agentic game development taken to the next level: plan, build and test across major engines with any coding agent🤖

Co-creation infrastructure for humans and code agents — visual environment, skills, continuous learning, and distribution.