TRW FAQs

Question 1

What is TRW (trw-mcp)?

Accepted Answer

TRW (trw-mcp) is an MCP server designed for AI coding agents. It provides persistent engineering memory, facilitates knowledge compounding, and supports structured spec-driven development workflows, ensuring AI tools don't reset to zero on every session.

Question 2

How does TRW provide persistent memory for AI agents?

Accepted Answer

TRW continuously records learnings, patterns, architectural decisions, and 'gotchas' from development sessions. This accumulated knowledge is then recalled at the start of new sessions, allowing AI agents to build project-specific expertise over time instead of starting from scratch.

Question 3

What is 'spec-driven development' within TRW?

Accepted Answer

Spec-driven development in TRW involves using AARE-F PRDs (Product Requirement Documents) and automatically generated CLAUDE.md files. This approach guides AI agents through a clear set of requirements and specifications, ensuring development aligns precisely with project goals and expected outcomes.

Question 4

What development lifecycle does TRW implement?

Accepted Answer

TRW enforces a structured 6-phase development lifecycle: RESEARCH, PLAN, IMPLEMENT, VALIDATE, REVIEW, and DELIVER. This framework includes phase gates, build checks, and adversarial audits to ensure high-quality and compliant code delivery.

Question 5

Can TRW integrate with existing AI coding environments?

Accepted Answer

Yes, TRW is designed for seamless integration with popular AI coding environments like Claude Code, Cursor, and opencode. It provides quick start guides and commands for easy setup and deployment into any git repository.

TRW

TRW

Key Features

Use Cases

Key Features

Use Cases