Your AI agent is only as good as the system around it.
The Agentic Engineering Framework is an open framework for building the agentic layer (prompt templates, quality gates, and workflow config) that powers an agentic development workflow, giving AI coding sessions the structure of a repeatable engineering process.
The Agentic Engineering Framework (AEF) is a framework, not a tool. It defines the patterns: prompt templates, quality gates, feedback loops, workflow config. You build the implementation that fits your stack. Browse the samples repository for prompt templates, alternative implementations of each layer, and patterns across different AI coding tools.
The Shift
From ad-hoc prompts to engineered autonomy
Good engineering teams already enforce planning, testing, code review, and scope management. But when teams adopt AI agents, those practices don't transfer automatically. AEF encodes them into the agent's workflow.
Agents without structure
- Prompts are often written from scratch each time
- Error recovery typically requires manual intervention
- Output quality varies across different prompt styles
- Context does not automatically carry between tasks
Explore
Pick your path
Understand the framework
Philosophy, principles, and the core concepts behind agentic engineering.
Design your workflow
Phases, prompt templates, quality gates, and how they connect.
Start building today
Practical guides to adopt the framework at your pace and team size.
The code is output. The agentic layer is the product.