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The Latest AI/ML Topics

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LLM-Powered Product Development: A Python-Centric Approach
Large language models (LLMs) are at the core of transformation that is helping AI to shift from lab to real world applications.
January 28, 2026
by Manish Adawadkar
· 2,358 Views
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Building an Internal Document Search Tool with Retrieval-Augmented Generation (RAG)
Retrieval-Augmented Generation (RAG) is transforming enterprise AI by bridging the gap between general-purpose language models and organization-specific knowledge.
January 27, 2026
by Manish Adawadkar
· 3,410 Views
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Edge-First AI Architecture: Designing Low-Latency, Offline-Capable Intelligence
Most Android AI features stall on flaky networks; an edge-first architecture runs key models on-device, with cloud used only as an optional upgrade.
January 27, 2026
by Mohan Sankaran
· 2,951 Views · 5 Likes
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Building an AI Agent Traffic Management Platform: APISIX AI Gateway in Practice
A global appliance leader uses APISIX AI Gateway for unified LLM traffic control, hybrid cloud routing, and multi-tenant isolation.
January 26, 2026
by Yilia Lin
· 1,429 Views
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Engineering Habits for Building Resilient Software
This article examines how integrating AI into the software development lifecycle (SDLC) is enabling teams to move from MVPs to large, resilient systems.
January 26, 2026
by Ammar Ekbote
· 1,351 Views · 2 Likes
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The Anatomy of an AI Agent and How to Build One With Docker Cagent
AI Agents perceive, reason, plan, and act autonomously using LLMs. This article breaks down the core components that power every agent and shows you how to build one.
January 26, 2026
by Siri Varma Vegiraju DZone Core CORE
· 2,409 Views · 1 Like
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How to Create AI-Enhanced Code Review Systems
AI-enhanced code review systems use embeddings and LLMs in Git hooks to catch repetitive issues, freeing human reviewers to focus on higher-level architectural decisions.
January 26, 2026
by Mohit Menghnani DZone Core CORE
· 2,087 Views · 2 Likes
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The A3 Framework: Assist, Automate, Avoid — A Decision System for AI Delegation
The A3 Framework helps teams decide when to Assist, Automate, or Avoid AI by categorizing work before prompting, reducing risk, and safeguarding trust.
January 26, 2026
by Stefan Wolpers DZone Core CORE
· 1,375 Views
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Secure AI Architecture for Payments: From Risk Signals to Real-Time Decisions
Secure AI architecture for Android payments that turns device, behavior, and transaction signals into real-time approve-or-challenge decisions.
January 23, 2026
by Mohan Sankaran
· 2,246 Views · 7 Likes
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How a Standardized Logistics Protocol Can Unlock AI's Full Potential in Supply Chain
AI can’t transform logistics without a standard protocol. LCP lets carriers and shippers share a common digital language, enabling large-scale, intelligent supply chains.
January 23, 2026
by Balaji Solai Rameshbabu
· 1,415 Views
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Securing AI/ML Workloads in the Cloud: Integrating DevSecOps with MLOps
ML systems introduce security risks most teams aren’t prepared for. The piece explores emerging ML-specific threats and what effective MLSecOps looks like in practice.
January 23, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 2,961 Views · 1 Like
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The Future of AI Integration: Why Model Context Protocol Is the New API
A deep dive into how the Model Context Protocol (MCP) redefines AI interoperability by standardizing the way agents connect to tools and data sources.
January 23, 2026
by Padmanabham Venkiteela
· 1,511 Views
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Agentic AI with Bedrock and DynamoDB Integration
This article walks through how to build an Agentic AI customer service agent using Amazon Bedrock, DynamoDB, and AWS Lambda via Boto3.
January 22, 2026
by Balakumaran Sugumar
· 4,017 Views · 1 Like
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Automating Visual Brand Compliance: A Multimodal LLM Approach
Manual review of marketing assets for brand consistency is a bottleneck. Here is an architectural pattern for building a compliance tool using Multimodal LLMs and Python.
January 22, 2026
by Dippu Kumar Singh
· 2,522 Views
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Why Semantic Layers Matter in Analytics: A Deep Dive into RAG Design
Analytics assistants/chatbots should trust the semantic layer — not documents. Retrieve metric definitions, run governed SQL, and attach an audit bundle to every KPI.
January 22, 2026
by Anusha Kovi DZone Core CORE
· 1,592 Views · 1 Like
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Refactoring a Legacy React Monolith With Autonomous Coding Agents
A step-by-step guide to building multi-agent AI workflows with LangGraph that can analyze, plan, code, test, and review the refactoring of a legacy React monolith.
January 22, 2026
by Rajiv Gadda
· 2,423 Views
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The Future of Data Streaming with Apache Flink for Agentic AI
Flink and Kafka enable real-time agentic AI by streaming fresh data and model context via the MCP standard for intelligent actions at scale.
January 21, 2026
by Kai Wähner DZone Core CORE
· 2,270 Views
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Where AI Fits and Fails in Workday Integrations
AI enhances Workday integrations by improving mapping, testing, and monitoring, but it fails when used without human oversight, domain expertise, and strong governance.
January 21, 2026
by Suresh Kurapati
· 2,761 Views · 1 Like
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RAG Architectures AI Builders Should Understand
Learn how retrieval, filtering, generation, and operations work together to deliver current, private, and verifiable answers instead of fluent guesses.
January 21, 2026
by Damil Shahzad
· 3,481 Views
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MERGE and Liquid Clustering: Common Performance Issues
A practical look at common pitfalls and performance challenges when using MERGE operations on liquid-clustered Delta tables, and how to avoid them.
January 21, 2026
by Avi Yehuda
· 1,786 Views
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