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Next-Gen Software Architecture with Large Language Models (LLMs) like ChatGPT
Fri, 25 April
This session explores the integration of cutting-edge AI technologies into software architecture, offering senior developers and architects actionable insights on leveraging large language models (LLMs) like ChatGPT to enhance design processes, manage architectural tradeoffs, and create scalable, innovative solutions.
Overview of the session:
- Importance of Large Language Models (LLMs) in software architecture.
- Introduction to ChatGPT and its relevance for software architects.
Part 1: The Role of Large Language Models in Software Architecture
- Understanding the capabilities of LLMs like ChatGPT.
- Benefits of integrating LLMs in modern software development.
- Real-world examples of AI-enhanced software architecture.
Part 2: Prompt Engineering for Architectural Tasks
- Crafting effective prompts for ChatGPT.
- Strategies for creating precise and effective prompts.
- Examples of architectural prompts and their impact.
- Interactive Exercise: Participants craft and test their own prompts, followed by feedback and discussion.
Part 3: Optimizing Requirement Analysis with ChatGPT
- Leveraging ChatGPT for requirement analysis and design.
- Integration of AI in empathizing with client needs and journey mapping.
- Cost estimations, compliance, security, and performance.
- Case Study: Using empathy map and customer journey map tools with AI.
- Hands-On Exercise: Requirement analysis and design.
Part 4: Managing Architectural Tradeoffs
- Defining and understanding architectural tradeoffs.
- Exploring real-world tradeoff scenarios:
- Case Study 1: Scalability vs. Flexibility.
- Case Study 2: Time-to-Market vs. Maintainability.
- Leveraging AI insights to analyze tradeoffs.
- Group Discussion and Q&A.
Part 5: Best Practices for Integrating AI in Software Architecture
- Techniques for gathering and prioritizing project requirements.
- Aligning architectural decisions with business objectives.
- Evaluating risks and potential outcomes of tradeoffs.
- Assessing tools, technologies, and architectural patterns.
- AI-powered decision support with ChatGPT.
- Collaborative decision-making and involving stakeholders.
Part 6: Achieving Sustainable Innovation
- Leveraging tradeoffs to drive innovation and creativity.
- Recap of key points and takeaways.
- Panel Discussion with Industry Experts: AI in architectural innovation, ChatGPT in action.
- Q&A and Open Discussion with the Audience.
Target Audience: This session is primarily aimed at Software Architects and Senior Developers, as it covers the integration of AI technologies like ChatGPT into the software architecture, focusing on how AI can enhance architectural decision-making, tradeoffs, and innovation. Product Managers may also find this session valuable, as AI can help align architecture with business requirements, improving the overall design and development process. DeepTech Professionals will benefit from the exploration of cutting-edge AI technologies within software design.
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About the speaker
Rohit Bhardwaj
Director of Architecture, Expert in Cloud-native Solutions
Rohit Bhardwaj is a Director of Architecture working at Salesforce. Rohit has extensive experience architecting multi-tenant cloud-native solutions in Resilient Microservices Service-Oriented architectures using AWS Stack. In addition, Rohit has a proven ability in designing solutions and executing and delivering transformational programs that reduce costs and increase efficiencies.
As a trusted advisor, leader, and collaborator, Rohit applies problem resolution, analytical, and operational skills to all initiatives and develops strategic requirements and solution analysis through all stages of the project life cycle and product readiness to execution.
Rohit excels in designing scalable cloud microservice architectures using Spring Boot and Netflix OSS technologies using AWS and Google clouds. As a Security Ninja, Rohit looks for ways to resolve application security vulnerabilities using ethical hacking and threat modeling. Rohit is excited about architecting cloud technologies using Dockers, REDIS, NGINX, RightScale, RabbitMQ, Apigee, Azul Zing, Actuate BIRT reporting, Chef, Splunk, Rest-Assured, SoapUI, Dynatrace, and EnterpriseDB. In addition, Rohit has developed lambda architecture solutions using Apache Spark, Cassandra, and Camel for real-time analytics and integration projects.
Rohit has done MBA from Babson College in Corporate Entrepreneurship, Masters in Computer Science from Boston University and Harvard University. Rohit is a regular speaker at No Fluff Just Stuff, UberConf, RichWeb, GIDS, and other international conferences.
