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Discover the Future of Salesforce Development: Roadmap & Q&A
Explore new tools to enhance your developer experience. Salesforce product managers will share the roadmap for AI development agents, RAG, DevSecOps, and answer questions in this interactive session.
Important: This session is first come, first seated. You do not have a reserved seat.

, Product Manager, Einstein for Developers, Salesforce

, VP, Product, Developer Services, Salesforce

, Senior Director, Product Management, Platform - Scale Products, Salesforce

, Senior Director Product Management, Salesforce

Role: Developer, IT
Product: Agentforce 360 Platform
Topic: Artificial Intelligence
Session Level: Intermediate
Session Type: Breakout
  • Tuesday, Sep 178:30 AM - 9:15 AM PDT
    (3:30 PM - 4:15 PM GMT)
    Moscone North, LL, Campground, Theater 4
  • Thursday, Sep 191:30 PM - 2:15 PM PDT
    (8:30 PM - 9:15 PM GMT)
    Moscone North, LL, Campground, Theater 3
Session Summary by Einstein: The Salesforce conference session offered a comprehensive look into the future of app development, emphasizing the shift from assistive to agentic AI technologies to enhance developer productivity and improve application quality. The unveiling of Agentforce for developers, now generally available and free, marked a significant milestone, enabling developers to write code more efficiently by generating unit tests, querying documentation, and explaining code logic directly within their IDEs. Moreover, the session delved into the importance of a unified developer experience across Salesforce teams and the integration of quality into the development lifecycle, rather than as an afterthought, showcasing the use of AI to generate synthetic data sets and the announcement of partnerships aimed at establishing quality gates for production readiness.
Key Takeaways by Einstein:

• Agentforce for developers was announced as generally available and free, providing powerful AI-assisted coding capabilities to streamline the development process.

• Salesforce is focusing on enhancing developer productivity and application quality by integrating AI across the development lifecycle, from planning to release.

• Future updates will include features like code style-aware generation, live test monitoring in scale test, and AI-powered data seeding for development and testing environments.

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Merlinda Lu

Salesforce Developer, IBM