𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗪𝗶𝘁𝗵 𝗡𝗼𝗱𝗲.𝗷𝘀

𝗕𝘂𝗶𝗹𝗱𝗶𝗻𝗴 𝗔𝗜 𝗔𝗴𝗲𝗻𝘁𝘀 𝗪𝗶𝘁𝗵 𝗡𝗼𝗱𝗲.𝗷𝘀

Building an AI agent with Node.js seems easy. You connect an LLM. You write prompts. I thought this was the hard part. I was wrong.

Real challenges start when agents use tools. They must manage context. They must make decisions.

Chatbots and agents are different. Chatbots answer questions. Agents complete tasks. Agents use APIs. Agents follow multi-step workflows.

Here are 5 lessons I learned:

• Model choice is not the priority. Most LLMs work. The system around the model is what matters.
• Memory is difficult. Storing data is easy. Deciding what to keep or forget is hard.
• Debugging changes. Your code might be correct. Your API might return valid data. The agent still makes the wrong choice.
• Costs grow fast. Small fees add up as the agent does more work.
• Failure is common. Plan for retries. Plan for missing data.

AI is not the hard part. Software engineering is.

Focus on your system design. Focus on reliability.

Source: https://dev.to/encodedots/building-an-ai-agent-with-nodejs-5-lessons-i-learned-the-hard-way-39ci Optional learning community: https://t.me/GyaanSetuAi