Build with AI — July 19, 2025
The Build with AI event, held on July 19, 2025, brought together top developers, data engineers, and AI practitioners focused on translating theoretical machine learning concepts into production-ready software. GeekyAnts anchored its presence at the event to demonstrate how engineering teams can bridge the gap between experimental AI prototypes and highly stable, scalable enterprise applications.
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Inside Build with AI 2025: Operationalizing GenAI and Bridging the Developer-to-Production Gap Kunal Kumar, COO, GeekyAnts & Sanket Sahu, CEO, GeekyAnts
GeekyAnts structured its contribution to Build with AI around three fundamental engineering pillars: Production-Grade Generative AI focused on latency optimization, token budgeting, and vector database scaling; Developer Productivity Frameworks utilizing contextual AI assistants within secure, ring-fenced environments; and Intelligent Interface Design crafting adaptive UIs that handle dynamic, AI-generated outputs without breaking layout constraints.
Key Takeaways:
The dominant technical theme raised by engineering teams was the friction of moving LLMs from a localized proof-of-concept (PoC) to a reliable production environment. The consensus among speakers and attendees was that raw model intelligence is secondary to engineering execution—specifically, managing API rate limits, handling non-deterministic outputs, and minimizing response latency. GeekyAnts shared insights from its own internal stress-testing, emphasizing that sustainable AI implementation requires strict evaluation pipelines, deterministic fallbacks, and real-time observability logs to catch model drift before it impacts the end-user experience.