--- title: Best Salesforce posts of 2025 | daily.dev description: The most upvoted Salesforce posts of 2025, curated by the daily.dev community. canonical: https://daily.dev/tags/salesforce/best-of/2025 twitter:card: summary_large_image twitter:site: @dailydotdev og:url: https://daily.dev/tags/salesforce/best-of/2025 og:type: website og:site_name: daily.dev og:title: Best Salesforce posts of 2025 | daily.dev og:description: The most upvoted Salesforce posts of 2025, curated by the daily.dev community. og:image: https://media.daily.dev/image/upload/s--VAY5ToZt--/f_auto/v1724209435/public/daily.dev%20-%20open%20graph --- # Best of Salesforce — 2025 1. 1 [](/posts/the-1-open-source-crm-zzxufgtnf "The #1 Open-Source CRM") Article Community Picks · 1y The #1 Open-Source CRM Twenty is an open-source CRM platform that positions itself as a modern alternative to Salesforce. It offers customer data management with import capabilities, customization options, and automation through APIs and webhooks. Key features include task management, email synchronization, company and contact management, search functionality with keyboard shortcuts, and dark mode. The platform is designed for fast-growing companies that need adaptable workflows and full customization control over their customer relationship management system. 240 14 2. 2 [](/posts/architecting-multi-system-production-platform-qtptvrmwq "Architecting Multi-System Production Platform") Article Salesforce Engineering · 49w Architecting Multi-System Production Platform Salesforce built Digital Wallet, a consumption-based pricing platform serving 15,000+ organizations and generating $400M+ in annual contract value. The engineering team overcame significant challenges as Data Cloud's first customer, including implementing SOX-compliant metadata security through Strict System Mode, building a custom event subscriber processing 20M daily events, and architecting failover strategies for near real-time usage tracking. The platform integrates multiple systems using fan-out mechanisms for entitlement sync, implements Spark job failover between EMR-on-EKS and EMR-on-EC2 to avoid rate limits, and maintains billing accuracy through architectural separation of hourly customer-facing updates from monthly financial reconciliation. The system includes high-cardinality monitoring, automatic retry logic, and a month-long buffer for usage reconciliation before billing. 107 3. 3 [](/posts/how-a-new-ai-architecture-processes-100-million-rows-in-5-minutes-rkb5pynsy "How a New AI Architecture Processes 100 Million Rows in 5 Minutes") Article Salesforce Engineering · 1y How a New AI Architecture Processes 100 Million Rows in 5 Minutes Salesforce developed a new AI-driven architecture to process over 100 million rows of advertising data in just five minutes. The Marketing Intelligence product unifies ad data from numerous sources, automates campaign performance insights, and simplifies complex data processing. By integrating with Salesforce-native technologies like Data Cloud, AgentForce, and Tableau, the system scales metadata and data processing for large volumes while maintaining low latency and high performance. 74 4. 4 [](/posts/salesforce-regrets-firing-4000-experienced-staff-and-replacing-them-with-ai-oj2xzlirr "Salesforce regrets firing 4000 experienced staff and replacing them with AI") Article Hacker News · 41w Salesforce regrets firing 4000 experienced staff and replacing them with AI Salesforce executives publicly admitted they overestimated AI capabilities after laying off 4,000 customer support staff in 2025\. The company reduced its support workforce from 9,000 to 5,000 employees, expecting AI to handle customer conversations at scale. However, automated systems struggled with complex issues, leading to declining service quality and higher complaint volumes. CEO Marc Benioff walked back earlier confidence, acknowledging human expertise remains critical. The company lost institutional knowledge and faced hidden costs as remaining staff had to supervise and correct AI outputs. Salesforce now reframes its strategy toward AI augmentation rather than replacement, admitting some reductions were premature. 50 17 5. 5 [](/posts/building-real-time-multimodal-ai-pipelines-xqsbruifc "Building Real-Time Multimodal AI Pipelines") Article Salesforce Engineering · 52w Building Real-Time Multimodal AI Pipelines Salesforce engineering team built real-time multimodal AI capabilities for Prompt Builder that process PDFs, images, and documents without pre-indexing. The system handles 50 million daily file uploads through a unified architecture serving both Data Cloud and non-Data Cloud customers. Key innovations include a real-time file processing pipeline with base64 conversion, a compatibility abstraction layer for multiple LLM providers (OpenAI, Gemini, Anthropic), and partial grounding validation that processes files independently rather than failing entire workflows. The solution unlocks file-based business data for AI agents, enabling use cases like automated document field extraction, insurance claim assessments, and case attachment summarization. 37 6. 6 [](/posts/how-agentforce-achieved-3-5x-faster-response-times-wmostv4wq "How Agentforce Achieved 3–5x Faster Response Times") Article Salesforce Engineering · 44w How Agentforce Achieved 3–5x Faster Response Times Salesforce's Forward Deployed Engineering team optimized Agentforce for a multi-brand retailer by separating deterministic logic from LLM reasoning, moving hierarchical processing from prompts to Apex code. They consolidated multi-stage LLM calls into single passes and optimized Data 360 retrieval, reducing end-to-end latency by 75% (approximately 20 seconds). The team chose a multi-agent architecture over a unified model, enabling brand-specific conversational experiences while maintaining a shared foundation that accelerated subsequent brand deployments by 5x. 30 7. 7 [](/posts/build-headless-agents-with-the-agent-api-hgjsdfssi "Build Headless Agents with the Agent API") Article Salesforce Developers Blog · 1y Build Headless Agents with the Agent API Headless agents are autonomous entities that focus on automation and integration with third-party systems without the need for a human interface. Salesforce's Agent API allows the creation of these agents to design complex, multi-agent workflows for various use cases, such as loan processing. The API supports both synchronous and asynchronous prompts, making it versatile for different implementations. Setting up and using the Agent API can unlock increased efficiency and automation for enterprise workflows. 22 8. 8 [](/posts/next-gen-rag-how-enriched-index-redefines-information-retrieval-for-llms-h0lzjuizp "Next-Gen RAG: How Enriched Index Redefines Information Retrieval for LLMs") Article Salesforce Engineering · 2y Next-Gen RAG: How Enriched Index Redefines Information Retrieval for LLMs Robert Xue, a software engineering architect at Salesforce, discusses the development of Enriched Index, an advanced system that enhances information retrieval for Large Language Models (LLMs). Key innovations include modular, scalable components for complex queries, hierarchical indexing, parallel processing, and robust security measures. Significant challenges addressed include balancing computational efficiency, query complexity, and ensuring rapid yet secure deployments. Ongoing R&D focuses on refining summarization techniques and context-aware query expansions. 22 1 [See all Salesforce archives](/tags/salesforce/best-of) ```json {"@context":"https://schema.org","@graph":[{"@type":"Organization","@id":"https://daily.dev/#organization","name":"daily.dev","url":"https://daily.dev","logo":{"@type":"ImageObject","url":"https://daily.dev/apple-touch-icon.png","width":180,"height":180},"sameAs":["https://twitter.com/dailydotdev","https://github.com/dailydotdev","https://www.linkedin.com/company/daily-dev-ltd"]},{"@type":"WebSite","@id":"https://daily.dev/#website","url":"https://daily.dev","name":"daily.dev","publisher":{"@id":"https://daily.dev/#organization"},"potentialAction":{"@type":"SearchAction","target":{"@type":"EntryPoint","urlTemplate":"https://daily.dev/search?q={search_term_string}"},"query-input":"required name=search_term_string"}}]} {"@context":"https://schema.org","@graph":[{"@type":"CollectionPage","@id":"https://daily.dev/tags/salesforce/best-of/2025#page","url":"https://daily.dev/tags/salesforce/best-of/2025","name":"Best Salesforce Posts of 2025","description":"The most upvoted Salesforce posts of 2025, curated by the daily.dev community.","isPartOf":{"@type":"WebSite","url":"https://daily.dev"}},{"@type":"ItemList","@id":"https://daily.dev/tags/salesforce/best-of/2025#items","numberOfItems":8,"itemListElement":[{"@type":"ListItem","position":1,"url":"https://daily.dev/posts/the-1-open-source-crm-zzxufgtnf","name":"The #1 Open-Source CRM"},{"@type":"ListItem","position":2,"url":"https://daily.dev/posts/architecting-multi-system-production-platform-qtptvrmwq","name":"Architecting Multi-System Production Platform"},{"@type":"ListItem","position":3,"url":"https://daily.dev/posts/how-a-new-ai-architecture-processes-100-million-rows-in-5-minutes-rkb5pynsy","name":"How a New AI Architecture Processes 100 Million Rows in 5 Minutes"},{"@type":"ListItem","position":4,"url":"https://daily.dev/posts/salesforce-regrets-firing-4000-experienced-staff-and-replacing-them-with-ai-oj2xzlirr","name":"Salesforce regrets firing 4000 experienced staff and replacing them with AI"},{"@type":"ListItem","position":5,"url":"https://daily.dev/posts/building-real-time-multimodal-ai-pipelines-xqsbruifc","name":"Building Real-Time Multimodal AI Pipelines"},{"@type":"ListItem","position":6,"url":"https://daily.dev/posts/how-agentforce-achieved-3-5x-faster-response-times-wmostv4wq","name":"How Agentforce Achieved 3–5x Faster Response Times"},{"@type":"ListItem","position":7,"url":"https://daily.dev/posts/build-headless-agents-with-the-agent-api-hgjsdfssi","name":"Build Headless Agents with the Agent API"},{"@type":"ListItem","position":8,"url":"https://daily.dev/posts/next-gen-rag-how-enriched-index-redefines-information-retrieval-for-llms-h0lzjuizp","name":"Next-Gen RAG: How Enriched Index Redefines Information Retrieval for LLMs"}]},{"@type":"BreadcrumbList","itemListElement":[{"@type":"ListItem","position":1,"name":"Home","item":"https://daily.dev"},{"@type":"ListItem","position":2,"name":"Tags","item":"https://daily.dev/tags"},{"@type":"ListItem","position":3,"name":"Salesforce","item":"https://daily.dev/tags/salesforce"},{"@type":"ListItem","position":4,"name":"Best of","item":"https://daily.dev/tags/salesforce/best-of"},{"@type":"ListItem","position":5,"name":"2025"}]}]} ```