AI-Driven Life Cycle (AI-DLC) adaptive workflow steering rules for AI coding agents
AI-DLC Workflows is a reusable software-development lifecycle that guides AI coding agents through staged engineering work and human approval gates. Teams use it to run structured, reviewable development processes across several coding-agent environments, and the catalogue entries are its agents, skills, rules, MCP integrations, and instructions.
This repository also configures its own agents. See what aidlc-workflows tells them →
MCP server Claude CodeCodexCursor +2 ✓ vendor
One of 5 in .mcp.json
Context7's hosted MCP server: up-to-date library documentation and code examples on demand. Remote server at mcp.context7.com.
MCP server Claude CodeCodexCursor +2 ✓ vendor
One of 5 in .mcp.json
MCP server "aws-mcp", hosted remotely at aws-mcp.us-east-1.api.aws, as configured in awslabs/aidlc-workflows.
MCP server Claude CodeCodexCursor +2 ✓ vendor
One of 5 in .mcp.json
MCP server "aws-pricing" as configured in awslabs/aidlc-workflows. Runs locally from the awslabs.aws-pricing-mcp-server@latest Python package.
MCP server Claude CodeCodexCursor +2 ✓ vendor
One of 5 in .mcp.json
MCP server "aws-iac" as configured in awslabs/aidlc-workflows. Runs locally from the awslabs.aws-iac-mcp-server@latest Python package.
MCP server Claude CodeCodexCursor +2 ✓ vendor
One of 5 in .mcp.json
MCP server "aws-serverless" as configured in awslabs/aidlc-workflows. Runs locally from the awslabs.aws-serverless-mcp-server@latest Python package.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: