Parallel, isolated dev environments for humans and AI coding agents. Real containers. Real databases. Zero collisions.

Agentic Development Framework using Spec-driven Planning and Execution with Claude Code

A Claude Code plugin marketplace

Maximize GitHub Copilot’s impact in large, legacy, and regulated codebases.

.claude commands for Agentic Programming Flow for Claude Code

Technical training courses for AI-assisted development with Claude Code, BDD, and modern engineering practices.

Specification-driven development on human work platforms, powered by Claude Code.

Label a GitHub issue. AI agents triage, plan, implement, review, and merge it. AI agents that turn direction into deployed software. Fully autonomous delivery across the GitHub issue lifecycle. Intent in. Software out.

🐱 ScribeCat scribes and is cat. Your AI study buddy with cat-like reflexes. Record lectures → Live transcription → AI-generated notes → Study tools. Built for brains that learn differently.

A standalone autonomous agent that keeps your GitHub contribution graph green by making intelligent daily commits using GitHub Copilot SDK.

🐱 ScribeCat scribes and is cat. Your AI study buddy with cat-like reflexes. Record lectures → Live transcription → AI-generated notes → Study tools. Built for brains that learn differently.

AI-native SDLC built for agentic engineering teams, integrating governance, versioning, and multi-model orchestration into a unified workflow layer.

Workspace layer for coding agents across polyrepos. Coordinated branches, tag-based filtering, zero dependencies.

Sample project to demo an agentic development workflow from scratch

An interactive, in-depth guide to Caribbean scuba diving in 2025, focusing on reef health, conservation, and eco-tourism. Developed iteratively with a proprietary agentic AI system.

Claude plugin for refactoring human-developed code-bases for agentic readiness

A complete Microsoft Learn–style training course for mastering agentic development in Visual Studio Code — for developers, DevOps engineers, and technical writers.

A Human & Machine readable audit trail. Engineers need it because it prevents the two common failure modes of agent driven development: Agents make changes but nobody can quickly tell what changed, why, and whether it passed checks Work cannot be reliably resumed, reviewed, or automated because state and logs are scattered

skills.sh skill for control-loop metalayer setup in agentic repos

🚀 Vindex | Agentic Inventory Management. Built with Clean Architecture in Google Antigravity. Local-first, offline-ready, and optimized for physical stock control by containers. 📦✨