Design notes for MyInvestPilot — an agent-friendly investment workflow system built with strategy primitives, DAG engines, validation loops, and observable decision infrastructure.
Skill repository to enforce Engineering disclipline in coding assistants
ADD — Agent Driven Development. Coordinated AI agent teams that ship verified software. Spec-driven TDD, trust-but-verify orchestration, maturity lifecycle. Runs on Claude Code + Codex CLI.
🚀 SDD + ADD Starter Template — AI Coding Assistant Governance Framework. Turn your AI coding assistant into a disciplined, spec-driven development partner. This is the definitive starter template for Spec-Driven Development (SDD) + Agent-Driven Development (ADD) — production-ready governance for Claude Code
ADD — Engineering methodology that standardizes how developers work with AI agents. A complete discipline with a 6-phase cycle, standard artifacts, non-negotiable rules, maturity model, and audit framework. Built to bring the same rigor as TDD, DDD, and BDD to agent-assisted development.
Methodology-as-a-service: web console packaging the Cobrust ADR + finding + bilingual + wave + 5-gate + ADSD discipline for AI-driven dev teams. Rust + Axum + SvelteKit. v0.1.2 — early; looking for 3-5 design partners.
Vendor‑neutral AMP reference implementation for dual‑core MCUs — deterministic boot, domain config, minimal IPC, and reproducible examples (Phase 1).
Monorepo for mattbutlerengineering.com — design system, React apps, Fastify services, Pulumi IaC. Built largely by AI agents (Claude Code).
AI-Powered Monorepo 2026: Design System, React Apps, Fastify APIs & Pulumi IaC
SDD Backend APIs
A lightweight Python CLI tool that orchestrates an AI coding agent as part of an AI-assisted Development Loop (ADLC) on a legacy system.
Terminal music player ecosystem with Spotify integration and an agent-driven CLI framework for cross-provider music library management.
A local-first bookmark API with automatic metadata fetching - built with agent-driven development
A practical DDD-oriented workflow for LLM-driven system design.
An AI-assisted rapid development framework for transforming vague ideas into complete, production-ready software through adaptive planning, Minimum Complete Releases, and resource-aware agent execution.
TeqFW process host for commands, services, and application lifecycle.
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