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Latest Articles - DZone

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Speeding Up BigQuery Reads in Apache Beam/Dataflow
Export BigQuery query results to GCS and read them in parallel with Beam; it’s dramatically faster and cheaper than reading directly from BigQuery.
January 16, 2026
by Rohit Muthyala
· 1,618 Views · 2 Likes
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From RAG to RAG + RAV: A Practical Pipeline for Factual LLM Responses
RAG reduces hallucinations, RAV verifies each claim, and together they yield far more trustworthy LLM answers with optional corrections for accuracy.
January 16, 2026
by Sai Teja Erukude
· 4,200 Views · 3 Likes
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Micro Frontends in Angular and React: A Deep Technical Guide for Scalable Front-End Architecture
Module Federation, Custom Elements, and orchestrators like Single-SPA enable independently evolving, maintainable applications with a seamless user experience.
January 16, 2026
by Renjith Kathalikkattil Ravindran
· 3,265 Views · 1 Like
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From Chatbot to Agent: Implementing the ReAct Pattern in Python
This article provides a raw Python implementation, moving beyond high-level frameworks to show exactly how the agentic loop works under the hood.
January 16, 2026
by Nikita Kothari
· 2,652 Views · 2 Likes
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Parallel S3 Writes for Massive Sparse DataFrames: How to Maintain Row Order Without Blowing Memory
Learn how to write massive sparse Pandas DataFrames to S3 without OOM errors by using Spark to parallelize index-based chunks while preserving row order.
January 16, 2026
by pooja chhabra
· 1,524 Views · 2 Likes
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Integrating CUDA-Q with Amazon Bedrock AgentCore: A Technical Deep Dive
This integration lets AI agents use GPU-accelerated quantum simulations as tools in their workflows. Learn more in this deep dive.
January 16, 2026
by Rakesh Kumar Pal
· 1,560 Views · 1 Like
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RAG on Android Done Right: Local Vector Cache Plus Cloud Retrieval Architecture
Most mobile RAG fails on latency and flaky networks. A local vector cache + cloud retrieval architecture keeps responses fast, fresh, and grounded.
January 16, 2026
by Mohan Sankaran
· 1,535 Views · 5 Likes
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Securing AI-Generated Code: Preventing Phantom APIs and Invisible Vulnerabilities
AI coding tools accelerate delivery but create new security blind spots. Learn how phantom APIs emerge — and what developers can do to catch them early.
January 15, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 2,098 Views · 1 Like
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DevSecOps for MLOps: Securing the Full Machine Learning Lifecycle
Why ML systems are uniquely vulnerable to security attacks — and how MLSecOps closes the gaps in data, models, and pipelines.
January 15, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 2,054 Views · 2 Likes
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From Aspects to Advisors: Design Modular Cross-Cutting Features with Spring AI
Understand how Spring AI Advisors work and see how Aspect Oriented Programming concepts can be applied when interacting with LLMs.
January 15, 2026
by Horatiu Dan DZone Core CORE
· 2,096 Views · 5 Likes
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Taming Reinforcement Learning Chaos: An MLOps Architecture for Experiment Management
Reinforcement learning is powerful, but managing thousands of iterations is a nightmare. Here is a practical architecture for building a lightweight experiment system.
January 15, 2026
by Dippu Kumar Singh
· 1,302 Views · 1 Like
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Resilient API Consumption in Unreliable Enterprise Networks (TypeScript/React)
Build robust React clients with explicit timeouts, retries, circuit breakers, cancellation, idempotency, and optimistic UI, plus Axios–RTK Query integration guidance.
January 15, 2026
by Hanna Labushkina
· 3,397 Views · 3 Likes
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Real-Time Recommendation AI Architecture: Streaming Events and On-Device Ranking
This Android recommendation architecture streams events to the backend and uses on-device ranking to deliver fast, resilient, privacy-aware recommendations.
January 15, 2026
by Mohan Sankaran
· 1,149 Views · 6 Likes
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9 Tips for Building Apps to Withstand AI-Driven Bot Attacks
Here are nine tips for app dev teams to strengthen app protections and frustrate AI-driven bot attacks, without harming user experience.
January 15, 2026
by Philip Piletic DZone Core CORE
· 1,571 Views · 1 Like
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Assist, Automate, Avoid: How Agile Practitioners Stay Irreplaceable
Without a decision system, every task you delegate to AI is a gamble on your credibility and your place in your organization’s product model.
January 15, 2026
by Stefan Wolpers DZone Core CORE
· 1,624 Views · 1 Like
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Your Product Doesn’t Need Another AI Feature; It Needs an AI Guardrail
Learn why adding AI isn’t always better and how guardrails ensure safe, trustworthy, and user-focused AI features in your products.
January 15, 2026
by Erioluwa Asiru
· 1,089 Views
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Integrating AI-Enhanced Microservices in SAFe 5.0 Framework
Explore how AI serves as a lean portfolio ally to enhance value stream performance, reduce noise, and automate tasks.
January 14, 2026
by Abhijit Roy
· 1,747 Views · 2 Likes
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What Actually Breaks When LLM Agents Hit Production — And How Amazon's Agent Core Fixes It
The future of LLM agents is not better reasoning — it's better engineering. This article explains why and how structured engineering turns agents into reliable systems.
January 14, 2026
by Haymang Ahuja
· 1,279 Views · 1 Like
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Designing Chatbots for Multiple Use Cases: Intent Routing and Orchestration
Effective multi-use-case chatbots depend on strong intent routing, context-aware orchestration, tailored LLM parameters, and evaluation.
January 14, 2026
by Vinayak Prasad
· 4,393 Views · 1 Like
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Reducing the Cost of Agentic AI: A Design-First Playbook for Scalable, Sustainable Systems
Explore how design-first architecture reduces the cost of Agentic AI by preventing unbounded reasoning and unnecessary agent execution.
January 14, 2026
by Devdas Gupta
· 1,420 Views · 1 Like
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