Accelerate development safely with AI. Work through defining guardrails for AI-augmented teams and architect secure Agentforce solutions using patterns for quality at enterprise scale.
Save the date for TDX 2027.
Sessions
Snag your seat.
New this year, you can now reserve your seat at most sessions. Register now to get first-access to hands-on learning and expert-led sessions.
Featured Sessions
Scale Trusted AI Adoption with Salesforce and AWS
Learn how to deploy Anthropic models via Amazon Bedrock in Agentforce’s secure environment, enabling compliant AI adoption at scale, particularly for regulated industries.
Prompt to Agent with Google Cloud: Gemini 3 in Agentforce
Explore the full agent development stack using Gemini 3 as the reasoning backbone, prompt builder for Agentforce agents. See Gemini 3 Flash’s fast, high-accuracy inference to build adaptable agents.
More Output, Same Control: Embracing AI-Driven Change
AI will multiply your rate of change. As the bottleneck shifts from writing code to governance, learn how to stay in control of accelerated delivery and focus on the work that needs you.
Building AI-Ready DevOps: L-Founders' Journey to Agentforce
See how L-founders leverage Copado to build an intelligent DevOps foundation, enabling them to deploy Agentforce agents seamlessly with enhanced dependency analysis and advanced debugging capabilities
Optimizing Salesforce’s Own Sales Cloud with Hubbl
See how Salesforce uses Hubbl to accelerate planning. Learn how the internal product team aligns complex requirements to architecture to de-risk and optimize global Sales Cloud updates.
Architecture: AI, Data, Lakehouse, Zero Copy
Modern Data Architecture for AI. Learn from real Enterprise customer stories: Zero Copy to Databricks & Snowflake, real-time lakehouse from scale to latency, amalgamation of customer data, and more.
Tip: Use " " around your search terms to find an exact phrase.
Community Speaker
Reserved Seating
Live Session Audio
Video On Demand
Architect Salesforce in the AI Era
, Chief Architect, Salesforce Platform and AgentOps, Copado
Role: Architect
Industry: Technology
Products: Agentforce 360 Platform
Topic: Productivity
Session Level: Intermediate
Session Type: Breakout
- Thursday, Apr 1611:00 AM - 11:40 AM PDT(6:00 PM - 6:40 PM GMT)Architect Vista (Campground, Level 1)FIRST COME FIRST SEATED
Session Summary: The session explored the transformative impact of AI on software development, emphasizing the integration of AI tools like large language models (LLMs) into every stage of the software lifecycle. The speaker highlighted how AI accelerates processes such as planning, prototyping, and coding, while stressing the importance of human oversight to ensure quality, security, and completeness. Examples were shared of AI's ability to generate requirements, prototypes, and even thousands of lines of code, but also cautioned about potential risks such as AI-generated errors, security vulnerabilities, and non-deterministic behavior. The discussion underscored the need for developers and architects to adapt to this new paradigm, taking responsibility for AI-generated work products and maintaining robust documentation to guide and validate AI-driven development processes effectively.
Key Takeaways:
• AI has revolutionized software development by enabling faster planning, prototyping, and coding, but human oversight remains critical to ensure security, scalability, and error handling are addressed effectively.
• Maintaining a robust and up-to-date technical requirements document (TRD) is essential to ground AI-generated outputs, ensuring consistency and alignment with project goals, even as AI modifies or expands the codebase.
• Developers must embrace tools like Salesforce's Agentforce and metadata-aware systems to create modular, secure, and scalable solutions while mitigating risks such as AI hallucinations, polymorphic viruses, and unforeseen integration issues.
Session Summary Feedback: Report a Concern
Available Now on Salesforce+: Watch now
