AIforce vs Agentforce and the new Salesforce developer role: notes from Dreamforce 2026
AIforce does not replace Agentforce. Developers are moving from writing every line of code to giving agents guidelines, reviewing their output and setting guardrails. And the real story of Dreamforce 2026 was MCP and skills, not a single vendor. I'm Juan Manuel Garrido, founder of EGA Futura and co-founder of Vantegrate. On September 17 we streamed our weekly masterclass live from floor 61 of…
At Dreamforce 2026, Salesforce unveiled significant updates to their developer ecosystem. Juan Manuel Garrido, co-founder of Vantegrate, moderated a masterclass with Alba Rivas, Salesforce's senior product marketing manager, that clarified key points regarding AIforce and Agentforce.
Firstly, Garrido emphasized that AIforce is not a replacement for Agentforce. Rather, it complements Salesforce's Headless Toolkit, which was introduced at TrailblazerDX. The Headless Toolkit enables businesses to build advanced applications using any programming language or framework. AIforce sits atop this toolkit, allowing Salesforce to integrate with various MCP clients or agents.
Secondly, Rivas discussed a shift from writing code to providing guidelines. Developers are no longer expected to manually write every line of code. Instead, they design solutions, review agent outputs, and set guardrails to ensure the applications meet enterprise standards. This shift aims to democratize app development, making it accessible to non-developers as well.
Lastly, the session highlighted Salesforce's commitment to being an open platform. Rather than focusing on a single vendor, Salesforce's Multi-Channel Protocol (MCP) is becoming a universal standard. This means any developer, regardless of the tools they use, can build applications that integrate seamlessly with Salesforce. The role of skills in this ecosystem is also evolving, with knowledge now being expressed in Markdown and shared across teams.
Written by urgent.news from Dev.to's reporting — not their text. Machine-written — may contain errors; check the original before relying on it.
