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Developer Track

Use this path if you want speed: install, verify, and run one practical generation/retrieval flow.

Prerequisites

  • macOS or Linux terminal access
  • curl

Step 1: Install

bash
curl -fsSL https://raw.githubusercontent.com/fluent-meaning-symbiotic/agentic_executables/main/install.sh | bash

Step 2: Verify CLI is healthy

bash
ae definition
ae doctor

Expected result:

  • ae definition returns AE version definition metadata.
  • ae doctor returns overall_status: pass or actionable checks.

Step 3: Run one useful workflow

Registry pull example:

bash
ae registry get --library-id python_requests --action install --out ./ae_use

Generation example:

bash
ae generate --library-id dart_provider --library-root . --engine template --check --diff

Step 4: Set up local hub and extract knowledge

bash
ae hub init
ae know build --url https://modelcontextprotocol.io/llms-full.txt --name mcp
ae know list

This creates a local knowledge hub and extracts the MCP protocol spec for later use in generation.

First-success complete when install + verification pass and one workflow command returns a deterministic result.

Next actions

Define once. Reuse anywhere.