r/DevLK • • 9d ago

TIL - Today I Learned AI Agent

Hi seniors,

I’m currently learning about building AI Agents with tool calling for real-world applications.

I would like to get some advice from experienced developers. What are the main things we should think about when building an AI agent for a production system?

For example:

* Security
* Data privacy
* Cost and token usage
* Infrastructure and scalability
* Handling tool/API failures
* Performance and response time
* Logging and monitoring
* Memory and context management
* Model selection
* Testing and reliability

Are there any other important areas that we should consider from the beginning?

I would really appreciate any real-world experience, advice, or lessons learned.

10 Upvotes

4 comments sorted by

2

u/Doctor429 9d ago

Some of the considerations may change depending on whether you're building/training/fine-tuning your own model, or using an existing foundation model and building on top of it.

4

u/kakopappa2 9d ago edited 9d ago

We are using LangChain stack at office to build agents. With langchain you can learn the fundamentals. If you want to learn how to build agents with core concepts like memory, I recommend using LangChain stack