Question 1

Who is Gregory Dugger?

Accepted Answer

Gregory Dugger is a technical leader and consulting engineer based in Houston, Texas, with a decade in enterprise software. He helps founders, executives, and delivery teams communicate complex decisions, align people around a practical plan, and carry important work through.

Question 2

What consulting services does Gregory Dugger offer?

Accepted Answer

Technical leadership and delivery guidance, stakeholder communication, team mentoring, business-focused websites and marketing, full-stack and mobile development, cloud systems, integrations, legacy modernization, and practical AI where it has a clear business case.

Question 3

How can Gregory help with technical leadership and delivery?

Accepted Answer

Gregory provides fractional technical leadership, stakeholder communication, team mentoring, architecture and build-versus-buy guidance, and hands-on delivery ownership. He turns complex tradeoffs into clear decisions and stays close enough to the work to help the team carry the plan through.

Question 4

What is Parasite?

Accepted Answer

Parasite is a CLI-first multi-agent coding orchestrator. It breaks development work into parallel streams and runs them through a 4-tier, 16-role agent pipeline — planning, environment setup, implementation, code review, testing, debugging, and integration — from a single command. It is built by Gregory Dugger and is currently in alpha.

Question 5

How is Parasite different from Cursor, Copilot, or Claude Code?

Accepted Answer

Those tools are single-agent assistants that keep the human as the orchestrator. Parasite automates the orchestration itself: it routes work to specialized agent roles, validates edits structurally with tree-sitter across 8 languages, enforces cost budgets, and runs the full delivery lifecycle rather than just completing code. It supports multi-provider LLM routing across OpenRouter, MiniMax, AWS Bedrock, and Azure AI Foundry.

Question 6

What is Agent Memory Hub?

Accepted Answer

Agent Memory Hub is a hub-and-spoke memory manager for AI coding agents. A central hub holds your canonical memory, then compiles and delivers it into each AI harness's native memory files — so Claude Code, Codex, Cursor, Copilot, Gemini, and 10+ tools read the same context on every machine, with no plugin or runtime lookup. It is non-destructive by design: the hub holds the encryption key, previews every change before writing, backs up whatever it replaces, and keeps a reason-coded audit ledger. Built by Gregory Dugger in Go.

Thanks. I’ll take it from here.