You Should Write An Agent
16 days ago
- #AI
- #LLM
- #Programming
- Some concepts, like boiling water, are easy to understand in the abstract, while others, like riding a bicycle, require hands-on experience.
- LLM agents are a big idea in computing, and whether you love or hate them, you should understand them to form an informed opinion.
- Building an LLM agent is surprisingly easy, as demonstrated by a simple Python script that interacts with the OpenAI API.
- LLM agents can be enhanced with tools, such as a ping function, allowing them to perform more complex tasks autonomously.
- Context engineering is a real and important aspect of working with LLM agents, as managing the context window is crucial for performance.
- LLM agents can be designed with sub-agents, each with different tools and contexts, enabling more sophisticated interactions.
- The field of LLM agents is still evolving, with many open engineering problems, such as balancing unpredictability and structured programming.
- Building your own LLM agent can provide valuable insights and allow for customization, rather than relying on pre-built solutions like Claude Code or Cursor.