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Explore Neeraj Deshmukh, Blitzy | Neo4J GraphSummit NYC 2026 with 8,026 views, 65 likes, and 1 comments. Experience the impact of this video content that has captured audience attention.

In this interview from GraphSummit 2026, Neeraj Deshmukh, director of engineering at Blitzy Inc., joins theCUBE's John Furrier to discuss how knowledge graphs provide the context and reasoning layer that let autonomous coding agents scale past token limits into production-grade enterprise software development. Deshmukh explains that code is inherently a graph — modules, functions and classes forming a web of relationships — and why Neo4j's vector-graph hybrid gives Blitzy's agents precise, scoped context instead of relying on brute-force searches. He details how traditional token limits cap effective context at about 200,000 to 300,000 tokens, or roughly 20,000 to 30,000 lines of code, forcing teams to fragment large projects into smaller sprints. Graph traversal, he notes, removes that ceiling by letting agents follow only the paths relevant to their task. The conversation also explores Blitzy's "System 2" approach to autonomous coding, where every agent-generated line is immediately tested against unit, regression and success-criteria benchmarks before a human reviews the final pull request. Deshmukh details how a continuously synchronized knowledge graph — updated automatically whenever code changes in GitHub, GitLab or similar systems — gives agents what amounts to infinite effective context, eliminating the need to break large projects into smaller epics and sprints. He touches on how "Sentinel" agents monitor other agents for drift or hallucination, and how detailed action plans and test evidence provide explainability and auditability for customers in regulated industries. Deshmukh also discusses why Cypher's LLM-friendly syntax and Neo4j's structural guarantees keep agents grounded in verified data rather than fabricated results. From the rise of GQL as an industry standard to the widening range of enterprise use cases on display at GraphSummit, Deshmukh outlines why graph technology is becoming the foundation for trustworthy, production-ready agentic AI. Find more SiliconANGLE news and analysis https://siliconangle.com/ Follow theCUBE's wall-to-wall event coverage https://siliconangle.com/events/ Learn about the latest theCUBE events https://www.thecube.net/ 00:00 - Advancing Autonomous Coding: Insights from GraphSummit NYC 02:57 - Code as a Graph 05:14 - Mathematical Foundations and Graph Applications in AI 07:38 - Blitzy's Approach to Quality and ROI 10:20 - Efficiency of Knowledge Graphs in Coding 12:55 - Infinite Context and Project Management 15:32 - Navigating the Future: Safeguard and Structure with Graph Databases 19:03 - The Role of Agents and Software Engineers 21:47 - Insights from GraphSummit NYC #theCUBE #Neo4jGraphSummit #theCUBEresearch #Blitzy #Neo4j #AI #KnowledgeGraphs

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