The Salesforce Platform supports future applications, demonstrating a strong commitment to customer success and technological excellence.| Salesforce Engineering Blog
Discover how Salesforce optimized retrieval performance, enhanced AI accuracy, and built a secure, scalable, and highly available system.| Salesforce Engineering Blog
Discover how Salesforce optimized metadata interpretation and AI accuracy, reducing execution time from 10 minutes to just 10 seconds.| Salesforce Engineering Blog
Explore Einstein's team's initial LLM latency challenges, their selection of Amazon SageMaker, and the resulting performance gains.| Salesforce Engineering Blog
Learn how Salesforce reduced AI infrastructure costs, and improved GPU utilization across various AI workloads, and much more.| Salesforce Engineering Blog
Learn how Salesforce tackles challenges like balancing throughput and latency, ensuring secure AI deployments with AWS SageMaker, and more.| Salesforce Engineering Blog
By Sai Saketh Nakkina and Vikram Nunia. In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Sai Saketh Nakkina, a MLOps engineer on Salesforce’s Agentforce Knowledge Foundation team. Sai and his team led the development of a responsive security automation system that transformed vulnerability management for […] The post Automating 70% of Dependency & Vulnerability Management with Renovate and CI/CD appe...| Salesforce Engineering Blog
By Gayathri Rajan and Gunesh Patil. In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we meet Gayathri Rajan, Director of Software Engineering for the Agentforce Platform Testing team, whose team transformed AI quality testing for the organization. Explore how her team overcame non-deterministic response validation obstacles, solved […] The post Breaking AI Testing Barriers: Dynamic Assertions and AI Automation De...| Salesforce Engineering Blog
By Shan Appajodu, Shruti Hardas and Vivienne Wei. At Salesforce Engineering, our AI adoption has not only boosted productivity but also sparked a fundamental transformation across six key areas: hiring, knowledge flow between experience levels, innovation scaling, expertise dissemination, experiment standardization, and cultural evolution. With a 94% active adoption rate, we’re seeing the rise of […] The post The AI-Native Engineer: How Salesforce’s Next Generation is Redefining Softwar...| Salesforce Engineering Blog
In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Pratima Nambiar, a Distinguished Architect with 17 years of experience at Salesforce. Pratima has played a crucial role in developing and scaling the service mesh architecture that facilitates secure communication among thousands of services on Salesforce’s Hyperforce […] The post Building Hyperforce Service Mesh: Blast Radius Reduction, Scale Optimiza...| Salesforce Engineering Blog
By Rachna Singh, Percy Mehta, and Spencer Ho In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Rachna Singh, Senior Director of Software Engineering for Einstein Activity Capture. Rachna and her team transformed their approach to the company-wide 80% code coverage mandate by leveraging AI-powered development […] The post How Cursor AI Cut Legacy Code Coverage Time by 85% appeared first on Salesforce Eng...| Salesforce Engineering Blog
In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we meet Nilesh Salpe, a key engineer developing Salesforce’s AI Metadata Service (AIMS), which provides tenant-specific configuration for AI inferences across Salesforce for AI applications like Agentforce via AI Gateway service (a centralized service to serve AI requests). Discover […] The post How Salesforce Delivers Reliable, Low-Latency AI Inference appeared ...| Salesforce Engineering Blog
In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today we feature Zak Zimmerman, Director of Software Engineering, leading the Data Cloud Performance Engineering team. Zak has transformed the way his team analyzes large-scale performance data, responds to critical incidents, and builds automation systems using AI-powered development tools. Learn […] The post How AI Boosted Performance Engineering Productivity appeared f...| Salesforce Engineering Blog
In our “Engineering Energizers” Q&A series, we highlight the engineering minds driving innovation across Salesforce. Today, we feature Monika Mulani, a performance engineer on the Experience Services Performance (ESP) team, who have reinvented their process for handling database bottlenecks, writing test scripts, and sharing complex technical knowledge using AI-driven productivity tools and automated performance testing […] The post How AI Revolutionized Performance Engineering: Hours t...| Salesforce Engineering Blog
Learn how Salesforce tackled GPU onboarding delays, integrated Bedrock, and addressed key reliability and security issues.| Salesforce Engineering Blog
Read the latest articles on the Salesforce Engineering blog. Go behind the cloud with Salesforce Engineers.| Salesforce Engineering Blog
Learn how Salesforce's new similarity model identifies incident commonalities, preventing alert overload and facilitating effective resolution processes.| Salesforce Engineering Blog
Explore Zero Copy, which transforms how Salesforce interacts with external data, enabling real-time analysis without the need for data migration.| Salesforce Engineering Blog
Learn how Salesforce scales their systems to handle billions of records and optimizes data retrieval speeds to provide fast lookups.| Salesforce Engineering Blog
Learn how Salesforce developed an AI-powered Test Failure (TF) Triage Agent, transforming how developers manage test failures.| Salesforce Engineering Blog
Learn how Salesforce created scalable modular AI agent architecture that transformed a six-year manual effort into a nine-month project.| Salesforce Engineering Blog
Learn how Salesforce tackled legacy architectural constraints, reengineering the Lakehouse to support 4 million Iceberg tables, 50 petabytes of data.| Salesforce Engineering Blog
Learn how Salesforce's Data Cloud team revolutionized indexing to bypass ElasticSearch limitations, introduced a dual-phase fuzzy matching system, and more.| Salesforce Engineering Blog
Learn how Hyperforce streamlined CI/CD pipelines into a self-healing system, leveraged AI to enable predictive autoscaling and much more.| Salesforce Engineering Blog
Learn how Salesforce tackled the challenges of scaling AI agents, implementing modular updates without disrupting functionality, and more.| Salesforce Engineering Blog
Discover how Agentforce combines agentic AI, multi-agent collaboration, and real-time observability to drive 1B predictions daily at enterprise scale.| Salesforce Engineering Blog
Learn how Salesforce tackled the complexities of reasoning across highly customized orgs, addressed latency and scalability issues, and more.| Salesforce Engineering Blog
How the Data Spaces team built structured security for 300,000 orgs, solved complex scaling challenges, and enforced cross-platform data governance.| Salesforce Engineering Blog
Discover how Salesforce reengineered Data Cloud to support Agentforce, AI grounding, and real-time activation across 100K tenants and 1,000+ domains.| Salesforce Engineering Blog
Learn how Data Cloud Engineering handles challenges in managing unstructured data, from processing multiple data formats to resolving scalability concerns.| Salesforce Engineering Blog
Explore Salesforce Engineering's CodeGenie, an internal IDE tool that boosts productivity by supporting multiple languages.| Salesforce Engineering Blog
Discover how Agentforce was engineered to orchestrate modular, multi-model AI agents for safe, scalable deployment in enterprise environments.| Salesforce Engineering Blog
Discover how Salesforce created dynamic retrieval systems that balance precision and speed by adjusting query complexity and much more.| Salesforce Engineering Blog
Discover how Salesforce overcame complex developmental obstacles that helped ensure a seamless transition to Hyperforce for Salesforce teams.| Salesforce Engineering Blog
Learn how Salesforce overcame complex challenges and developed proprietary innovations that facilitated the transition of workloads to Kubernetes.| Salesforce Engineering Blog
Learn how Data Cloud optimizes platform scalability, reduces processing times, and more to deliver high-performance solutions.| Salesforce Engineering Blog
Discover how the Hyperforce team managed the Hyperforce migration and integrated AI to enhance performance, UX, and incident prevention.| Salesforce Engineering Blog
Learn how Salesforce tackles significant scalability challenges to unlock deeper insights for Salesforce customers.| Salesforce Engineering Blog
Learn how Salesforce's cross-cloud Scrum team built Einstein for Flow, a game-changing AI product that revolutionizes Salesforce workflow automation.| Salesforce Engineering Blog
We analyzed user email open and click behaviors across hundreds of billions of emails to build an algorithm for send time optimization.| Salesforce Engineering Blog
