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The Latest AI/ML Topics

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The Embedding Model You Choose Matters More Than Your LLM
Everyone debates GPT-4 vs Claude vs Gemini. Meanwhile, the biggest RAG performance bottleneck is your embedding model. Here's the data, and the fix.
August 17, 2026
by David Taiwo Balogun
· 2,019 Views · 4 Likes
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Engineering as a Service Is What Happens When You Let Vibe Coding Win
Vibe coding makes non-engineers capable of prototyping software. What survives is production intuition: knowing how systems fail in ways that were never in the spec.
August 17, 2026
by Dinesh Elumalai DZone Core CORE
· 1,222 Views · 3 Likes
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Your AI Agent Is a Distributed System, Not a Chatbot
Most AI agent failures are execution failures, not reasoning failures. Durable orchestration helps enterprise agents survive retries, outages, and long-running workflows.
August 17, 2026
by Anuj Kapoor
· 1,554 Views · 3 Likes
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Using AIDLC to Build Documents (Not Just Code)
I turned a pile of design docs into a ready-to-deliver KT presentation using AIDLC, with every decision gated, traceable, and logged.
August 17, 2026
by Shaleen Mathur
· 1,027 Views
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Six Patterns for Building Production-Grade AI Quality Systems
AI quality engineering platform should be built on 6 patterns. It is a unique PTAO cognitive loop (Perceive → Think → Act → Observe) that quality-gates.
August 14, 2026
by samarpana rani Nagaiah
· 2,179 Views · 2 Likes
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5 Infrastructure Controls for Securing AI Agents
Prompt-based guardrails fail under adversarial pressure. Here are the five controls that helps to validate along with the configuration to implement them.
August 14, 2026
by Shekar Munirathnam
· 1,996 Views · 1 Like
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Code Generation Is Solved; Trust Is the Bottleneck
Polygraph is an open-source Claude Code plugin that finds bugs in stateful code (reducers, workflows, checkout flows, session managers) in any language.
August 14, 2026
by Jean-Jacques Dubray
· 2,332 Views · 1 Like
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AI-Powered API Development With Spring AI
Learn how to build intelligent, production-ready REST APIs using Spring AI, enabling your Spring Boot applications to integrate LLMs.
August 14, 2026
by Muhammed Harris Kodavath
· 1,722 Views · 2 Likes
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Thoughts on Developing With A(ccelerated) I(nference)
Our collaboration with AI is an ongoing experience. Let's explore it, use it as a tool, and let it help us focus on the important parts of problem-solving.
August 14, 2026
by Horatiu Dan DZone Core CORE
· 1,684 Views · 4 Likes
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Graph Engineering: The Layer After Loop Engineering
A single agent is just the smallest possible graph: one node with an edge back to itself. Most tasks should stay that simple.
August 14, 2026
by Vidyasagar (Sarath Chandra) Machupalli FBCS DZone Core CORE
· 2,599 Views · 3 Likes
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Enterprise AI Data Engineering With Snowflake Cortex and RAG
Learn how Snowflake Cortex and RAG turn messy enterprise data into reliable AI answers: chunking, vector search, and production pitfalls.
August 13, 2026
by Karini Kapoor
· 1,790 Views · 1 Like
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Benchmark LangGraph, Strands, OpenAI Agents, and Google ADK on the Same Agent Graph
An experiment ranks them on latency and tokens with an LLM-as-a-judge quality guardrail; then the same flag promotes the winner to production with no redeploy.
August 13, 2026
by Scarlett Attensil
· 2,108 Views · 1 Like
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AI Assist vs AI Complete: The Real Gap in Most AI Workflows Today
The real difference between AI features and AI that finishes the job — most enterprise AI helps with a workflow but doesn't own the outcome.
August 13, 2026
by Muralidharan Lakshmanan
· 2,094 Views · 1 Like
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Orchestrating Small Language Models Without Losing Events or Context
Temporal and Kafka orchestrate small language models reliably through durable workflows, ordered events, idempotency, retries, replay, and context preservation.
August 13, 2026
by Akhil Madineni DZone Core CORE
· 2,070 Views · 3 Likes
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From Microservices to Agent Services: The Next Architectural Shift
AI agents redefine service boundaries by introducing intent-driven orchestration, semantic capabilities, and autonomous decision services.
August 12, 2026
by Uthej Mopathi DZone Core CORE
· 2,935 Views · 2 Likes
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The AI Memory Security Blueprint
Protect enterprise RAG systems with provenance, context isolation, and vector database governance to reduce retrieval poisoning and prompt injection risks.
August 12, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 3,654 Views · 2 Likes
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Building AI-Driven Service Operations: Integrating CRM, Inventory, and Field Service
Effective AI-driven CRM implementations depend on integration with field service, inventory, ERP, and logistics so predictive insights can be executed successfully.
August 12, 2026
by Abhishek Sharma
· 1,939 Views · 2 Likes
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Machine Identity Debt
Learn why traditional cloud infrastructure struggles with AI workloads and how modern identity, trust, and governance improve security in production.
August 12, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 2,074 Views · 2 Likes
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The AI Software Supply Chain Blueprint
Learn how to secure AI pipelines with trusted models, verified dependencies, ML-BOMs, and supply chain controls from development to deployment.
August 11, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 3,322 Views · 1 Like
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Why Traditional Cloud Infrastructure Breaks AI Workloads in Production
Legacy cloud infrastructure can't keep pace with AI workloads. Let's deep dive into the key failure points and how to fix them in production.
August 11, 2026
by Mohit Shah
· 2,623 Views · 1 Like
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