AI Agents in Production: Build One That Actually Works
At some point in the last few months, someone on your product / engineering team probably asked: can we build an AI feature that doesn’t just respond, but actually does something? Maybe it’s a support tool that looks up transaction history and suggests a resolution, or a workflow that monitors incoming data, makes a decision, and takes an action.
Whatever the brief, you’ve likely asked the harder question: how do I build this in a way that actually holds up in production?
That's what this session addresses:
This is not a prompt engineering session, a LangChain tutorial, an introduction to what AI is orthe concept of agents which you already know of / read about.
This session is for developers who already know the basics and want the practical part: the architecture, the failure points, the tradeoffs, and the tooling landscape as it stands today.
You’ll leave with a working build / agent, a clearer sense of when agents are the right tool, and the confidence to scope AI agents that work.
Who this is for:
Mid level Backend Engineers. No AI background is required however, strong API and system design experience will be useful.
About IDC
Interswitch Developer Community (IDC) is dedicated to empowering developers by providing the tools, resources, and connections needed to build innovative solutions on Interswitch’s platforms.
We are focused on accelerating the career development of developers through networking opportunities, skill-building sessions, mentorship, and exposure to the latest fintech tools and technologies.
Through IDC, developers gain access to Interswitch’s comprehensive suite of Software Development Kits (SDKs), Application Programming Interfaces (APIs), and developer-friendly frameworks, all designed to streamline development for engineers of every skill level.
Connect, learn, build, and grow—become a member of IDC today!