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MANJUSHA GUNTUR on Muck Rack

MANJUSHA GUNTUR

(She/Her)
United States
As seen in: HackerNoon, DEV Community
Covers:  Software architecture, agentic AI, Java, Spring Boot, microservices, Kafka, cloud, distributed systems, engineering leadership, and analytical astrology.

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MANJUSHA GUNTUR’s Biography

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I’m a Technical Lead and Solutions Architect with 15+ years of experience in Java, Spring Boot, microservices, distributed systems, Kafka, full-stack development, and cloud platforms including AWS, Azure, and GCP. I write about AI-native software engineering, agentic AI, software architecture, event-driven systems, platform modernization, performance, and engineering leadership.

MANJUSHA GUNTUR’s Journalist Portfolio

Building an AI Native Software Engineering Platform

Building an AI Native Software Engineering Platform

Designing an AI-native software engineering platform that transforms business requirements into production-re…

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GitHub - gunturmanjusha/SmartCodeReview: AI Code Review Agent That Scales Architect-Level Standar...

GitHub - gunturmanjusha/SmartCodeReview: AI Code Review Agent That Scales Architect-Level Standar...

AI Code Review Agent That Scales Architect-Level Standards Across Every Pull Request - gunturmanjusha/SmartCo…

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Using Agentic AI to Detect Architecture Flaws Before Code Is Written

Using Agentic AI to Detect Architecture Flaws Before Code Is Written

An insurance policy endorsement case study using machine-readable constraints, architecture... Tagged with ai…

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Articles

Scaling a Kafka Consumer From 4K to 25K Events per Second While Preserving Ordering

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By MANJUSHA GUNTUR
| HackerNoon
Scaling a Kafka Consumer From 4K to 25K Events per Second While Preserving Ordering Your browser does not support the audio element. Voice Dr. One Ms. Hacker byManjusha Guntur@manjushaguntur byManjusha Guntur|@manjushagunturSolutions Architect at Technical Lead and Solutions Architect in AI-native engineering, distributed systems, Java, microservices, Kafka, and cloud.
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I Built an AI Code Review Agent That Scales Architect-Level Standards Across Every Pull Request

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By MANJUSHA GUNTUR
| HackerNoon
Why I Built This Agent As an architect, I review code as an implementation of the system’s design, not as an isolated collection of classes and methods. Every change either preserves or weakens architectural boundaries, service contracts, data integrity, security posture, failure behavior, operational readiness, and the system’s ability to evolve. A successful build and a passing test suite establish local correctness; they do not establish architectural integrity.
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From Requirement to Release: Building an AI Software Engineering Platform for Event-Driven Systems

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By MANJUSHA GUNTUR
| HackerNoon
Why Code Generation Is Not Enough The first generation of AI software engineering tools demonstrated that Large Language Models can generate production-quality code. The next generation will be measured by a fundamentally different capability: orchestrating the complete software engineering lifecycle. Code generation is only one stage of enterprise delivery.
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