📄️ Core Philosophies
Overview
📄️ Prompt Engineering
How Green Goods structures prompts to get reliable, codebase-aware outputs from AI agents. Prompt engineering here means crafting the instructions that control agent behavior within the development workflow.
📄️ Context Engineering
Context engineering is how we structure project knowledge so AI agents can work effectively with the Green Goods codebase. This goes beyond a single prompt -- it is the architecture of information that surrounds every agent interaction.
📄️ Intent Engineering
Intent engineering translates user goals into structured agent tasks. In the Green Goods workflow, this means decomposing a request like "add cookie jar support" into scoped, verifiable work items that agents can execute independently.
📄️ Spec Engineering
Specification engineering is writing structured documents that both humans and AI agents can execute. In Green Goods, specs drive agent workflows through clearly defined phases, acceptance criteria, and verification steps.
🗃️ Agent-Based Tools
4 items
📄️ MCP Guide
Status aligned to .mcp.json as of 2026-02-18.