AI Agent Roadmap: Everything You Need to Build Agents (In the Right Order)
This article provides a step-by-step guide for developers to build AI agents, covering key considerations like choosing the right language, framework, and model, as well as understanding the core primitives of agent development.
Why it matters
This roadmap helps developers new to AI agents avoid common pitfalls and build effective agent-based solutions efficiently.
Key Points
- 1Determine if an AI agent is the right solution for your problem, versus a simpler workflow
- 2Choose the programming language and framework based on your existing skills and the project requirements
- 3Understand the 4 core primitives of agent development: the model, the prompt, the memory, and the evaluator
- 4Start with a hosted language model and gradually increase complexity as you gain experience
Details
The article outlines a roadmap for developers to build AI agents effectively. It begins by emphasizing the importance of understanding whether an agent is the right solution, as opposed to a simpler workflow. It then provides guidance on selecting the appropriate programming language and framework, recommending Python or TypeScript as the entry points. The core of the article focuses on the 4 key primitives of agent development: the language model, the prompt, the memory, and the evaluator. Developers are advised to start with a hosted model like GPT or Claude, and gradually increase complexity as they gain more experience. The article links to additional resources for each phase of the roadmap, helping developers navigate the AI agent landscape systematically.
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