4/28/2026 · 10 min read
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TrailblazerDX '26 marked a fundamental shift in Salesforce development, moving towards probabilistic systems and operationalizing AI in the agentic era. Key announcements included Headless 360, Agentforce Vibes 2.0, and new tools for governing AI-powered solutions.
This article highlights how Salesforce Principal Software Engineer Kishore Chaganti drastically reduced Agentforce AI debugging time from two weeks to same-day. He achieved this through the implementation of query-driven observability on the Einstein Notebooking platform.
This article highlights how Salesforce's Agentforce Sales Engagement team engineered a distributed persistent queue to overcome LLM rate limits, successfully scaling AI workloads by five times. It details the innovative approach to orchestrating AI and human workflows under strict infrastructure constraints.
Salesforce's Rajas Mhatre shares insights into how his team's Agentforce lead nurturing agents achieved over $100M in pipeline generation and 10,000 opportunities, even while operating under rate-limited infrastructure. This engineering success demonstrates innovative approaches to autonomous sales operations.