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Thu, April 23 at 3:10 PM - 4:10 PM GMT+5:30ArchitectureDeepTech
AI code assistants often fall short not because the technology is weak, but because they lack access to the context developers rely on. This session introduces AI-First Repositories, an architectural approach that transforms source repositories from passive code storage into intelligent, self-improving development ecosystems. By combining semantic knowledge bases, domain-tuned language models, cross-repository MCP servers, and embedded agentic workflows, developers can move from random AI suggestions to deterministic, domain-aware assistance.
Attendees will learn how to implement repository-native intelligence through vector embeddings, continuous model adaptation, and policy-driven governance. The result is a context-rich environment that enforces architectural standards, accelerates onboarding, and enables agentic pair programming. The session concludes with a view of a distributed intelligence model integrating autonomous repository agents, federated MCP-based knowledge networks, and telemetry-driven adaptive learning pipelines.
What You Will Learn
Architectural patterns for building AI-First Repositories with embedded intelligence
How to design agentic, context-aware development environments using RAG, MCP, and fine-tuned LLMs
Strategies to achieve deterministic, domain-aware AI assistance and continuous improvement
Who Should Attend
Software architects, engineering leaders, AI and ML engineers, and developers designing or managing large-scale, AI-enabled codebases.
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Prithveesh is a Principal Engineer with over fifteen years of experience building large-scale, resilient systems at companies like Atlassian and Expedia. He holds a Master’s in Entrepreneurship from the Illinois Institute of Technology, Chicago, which shaped his ability to bridge technology with business impact.
At Atlassian, he worked on foundational initiatives that optimized how complex systems evolve and scale, giving him a deep appreciation for the roots of architecture and developer workflows. At Expedia, he is leading the adoption of AI across engineering teams by pioneering the concept of AI-first repositories and driving AI productivity initiatives for 500+ engineers. His work focuses on creating intelligent foundations—repositories, agents, and context-aware ecosystems—that enable teams to leverage AI effectively, reliably, and at scale.
Blending technical depth with business acumen, Prithveesh emphasizes how every developer hour can translate into measurable value for the organization. His leadership in platform transformation and mentoring has consistently advanced developer productivity, system reliability, and long-term ROI. His vision for an AI-First Ecosystem builds on his belief that understanding the foundations of systems is the key to accelerating the new era of AI-driven engineering.
