A deep dive into building an agent framework for Salesforce
We’re always trying to make it easy for users to pick out the information they need and gain insights into their processes, so a natural language interface seemed like a dream.

We’re always trying to make it easy for users to pick out the information they need and gain insights into their processes, so a natural language interface seemed like a dream.
Christophe Coenraets, SVP of Developer Relations at Salesforce, tells Eira and Ben about building the new Salesforce Developer Edition, which includes access to the company’s agentic AI platform, Agentforce. Christophe explains how they solicited and incorporated feedback from the developer community in building the developer edition, what types of AI agents people are building, and the critical importance of guardrails and prompt engineering.
Some high-level takeaways, with more to come.
Two engineers at Salesforce talk about how they decoupled a complex library from old spaghetti logic, then open sourced that library by creating a new internal process where none existed before.
It’s rare that we get a chance to directly compare two technologies against each other for the same task. But sometimes the stars align, either because you start experiencing negative effects from your current stack, new technology appears that meets your exact needs, or the scale and feature set of your project outpaced the tech on hand.