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

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.

Orchestrate agentic development for hours with sophisticated prompt engineering: markdown-driven roles, fresh context per task, "blind" QA validation, and on-demand automatic skill generation—all while remaining vendor-agnostic, deterministic, and auditable.

Specification-first documentation for monorepos, powered by Claude Code.

A collection of Claude Code plugins for workflow enhancement and productivity - convenience tools for your agentic development sessions

🐱 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.

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.

Sample project to demo an agentic development workflow from scratch

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

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

Reusable agentic workflows and multi-stage orchestration pipelines for the SprintLoop Enterprise OS.

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

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

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

🚀 Enhance workflows with a high-performance orchestration engine for routing tasks across LLMs, SLMs, and custom agents efficiently.