Category: Technology

Written by Armin Bahramshahry and Shan Appajodu. Hyperforce is a pivotal infrastructure platform for Salesforce, enhancing global service delivery through top public cloud platforms for increased safety, scalability, and agility. Hyperforce enabled rollout of new innovations like Data Cloud and boosted the global scalability of Salesforce’s Core CRM. To help align developer agility with infrastructure… Continue reading Hyperforce’s Template for Enhancing Developer Workflow: Inside the 7 Pillars of Agile Development

The history of Rust at Meta goes all the way back to 2016, when we first started using it for source control. Today, it has been widely embraced at Meta and is one of our primary supported server-side languages (along with C++, Python, and Hack). But that doesn’t mean there weren’t any growing pains. Aida… Continue reading The key to a happy Rust/C++ relationship

In our “Engineering Energizers” Q&A series, we explore the innovative minds shaping the future of Salesforce engineering. Today, we meet Erwin Karbasi, who leads the development of the Salesforce Central Evaluation Framework (SF Eval), a revolutionary internal tool used by Salesforce engineers to assess the performance of generative AI models. Explore how SF Eval addresses… Continue reading The Future of AI Testing: Salesforce’s Next Gen Framework for AI Model Performance

We’re sharing how we streamline system reliability investigations using a new AI-assisted root cause analysis system. The system uses a combination of heuristic-based retrieval and large language model-based ranking to speed up root cause identification during investigations. Our testing has shown this new system achieves 42% accuracy in identifying root causes for investigations at their… Continue reading Leveraging AI for efficient incident response

In our “Engineering Energizers” Q&A series, we explore the paths of engineering leaders who have attained significant accomplishments in their respective fields. Today, we spotlight Armita Peymandoust, Senior Vice President of Software Engineering at Salesforce, who spearheads the development of Einstein Copilot, a conversational AI assistant for CRM that integrates data, metadata, prompts, and workflows… Continue reading How Einstein Copilot Sharpens Large Language Model Outputs and Redefines AI Data Testing

We’re introducing parameter vulnerability factor (PVF), a novel metric for understanding and measuring AI systems’ vulnerability against silent data corruptions (SDCs) in model parameters. PVF can be tailored to different AI models and tasks, adapted to different hardware faults, and even extended to the training phase of AI models. We’re sharing results of our own… Continue reading PVF: A novel metric for understanding AI systems’ vulnerability against SDCs in model parameters