Enterprise web development has expanded rapidly with the adoption of microservices architectures, cloud native infrastructure, API driven ecosystems, and distributed data platforms. Large organizations now operate hundreds of services, thousands of APIs, and complex CI/CD pipelines across multi cloud environments. While these architectures enable scalability and rapid innovation, they also create significant cognitive load for engineering teams who must navigate extensive documentation, service dependencies, compliance requirements, and evolving architectural standards. This session explores how large language models and AI systems are becoming practical productivity accelerators in modern enterprise development workflows. The talk first examines AI driven knowledge systems that unify fragmented technical documentation across code repositories, architecture diagrams, ticketing platforms, and internal knowledge bases. Through semantic search and retrieval augmented generation, engineers can interact with institutional knowledge conversationally and retrieve contextual insights from distributed sources, reducing the time spent locating critical technical information. The presentation then discusses AI assisted development environments where intelligent coding tools support engineers by generating service scaffolding, validating API contracts, recommending refactoring strategies, and identifying potential security issues. These capabilities help automate repetitive development tasks such as boilerplate generation, syntax corrections, and dependency analysis. The session also highlights AI enabled testing and developer onboarding systems that analyze historical defect patterns and architectural documentation to guide testing strategies and accelerate knowledge transfer. Together, these capabilities demonstrate how human AI collaboration can improve developer productivity while maintaining engineering oversight in large scale enterprise platforms.
Dreema Patel is a Software Engineer with over 10 years of experience building large scale, customer facing web platforms used by millions of users globally. She has deep expertise in modern frontend technologies, including React, Node.js, and JavaScript, and is known for leading complex engineering initiatives end to end. Her work focuses on designing scalable frontend architectures, improving product growth, and delivering high quality systems through strong technical leadership and cross functional collaboration. She currently works as a Software Engineer 4 at Adobe in San Jose, where she architected and led major initiatives such as Discover Mode for Acrobat Web. This product led growth initiative enabled anonymous users to explore premium workflows while maintaining security and compliance. The feature generated $3.3M in incremental FY25 revenue and significantly increased product discovery. She also led the development of the Expand Download experience, creating a modular frontend system supporting multiple document conversion pipelines and successfully delivering the feature to millions of users. Prior to Adobe, Dreema held multiple engineering roles at PayPal, including Staff Software Engineer and Senior Software Engineer. She led frontend architecture for PayPal’s Cryptocurrency Web platform and mentored a team of engineers while collaborating with compliance, risk, and legal teams to launch secure crypto user reward programs. Her earlier work contributed to scaling Venmo Business Profiles and improving merchant onboarding systems used by merchants across more than 190 countries. She holds a Master of Science in Software Engineering from San Jose State University and a Bachelor of Engineering in Computer Engineering from Gujarat Technological University.
