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Making Running Optional: Scaling AI Agents on Kubernetes With Agent Substrate
Learn how an early-stage open-source project separates workload lifecycle from compute allocation for bursty, stateful, and massively concurrent AI workloads.
September 3, 2026
by Mayowa Fajobi
· 2,280 Views
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Extracting Entities and Relationships From Engineering Documents With spaCy
Learn how to extract domain-specific entities and relationship triples from engineering documents using spaCy, custom entity rules, and Python.
September 2, 2026
by Sriharsha Makineni
· 2,334 Views · 2 Likes
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Node.js Microservices Architecture: A Complete Guide
This guide walks you through the core architecture components and design patterns needed to build scalable microservices with Node.js and explains when to use each.
September 2, 2026
by Megha Verma
· 2,632 Views · 1 Like
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Golden Prompts: Turning AI Prompting into an Engineering Practice
Golden prompts turn ad hoc AI prompting into reusable, governed engineering assets for consistent, secure, high-quality outcomes.
September 2, 2026
by Josephine Eskaline Joyce, Ph.D DZone Core CORE
· 2,349 Views · 1 Like
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Beyond Agent-Washing: The Engineering Principles Behind Production-Ready AI Agents
Enterprise AI agents need secure execution boundaries, deterministic logic, identity, governance, and auditing—not just intelligent models—to safely act in production.
September 2, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 2,582 Views
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Enterprise Architecture in the AI Era: Tools, Capabilities, and the Road to Autonomy
EA tools centralize business and IT data to improve alignment, governance, decision-making, and portfolio management while enabling AI-driven automation.
September 1, 2026
by Dr Gopala Krishna Behara DZone Core CORE
· 4,075 Views · 3 Likes
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Your Quantized LLM Is Not Slow Because of the Quantization
My 2-bit model was slow because of a 778 MB memory copy per token, not the quantization. Profile what you did not compress.
September 1, 2026
by Pier-Jean MALANDRINO DZone Core CORE
· 2,264 Views
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How to Detect AI-Generated Images in C# Using an API
Build a C# workflow that analyzes uploaded images for signs of AI generation and turns the returned risk score into a practical application decision.
September 1, 2026
by Brian O'Neill DZone Core CORE
· 3,164 Views · 1 Like
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The AI Gateway Pattern That JPMorgan, Stripe, and Every Smart Fintech Is Quietly Standardizing On
Every microservice calling OpenAI directly is a $4,000/month surprise waiting to happen. The shift nobody's writing about — but everyone at scale is building.
September 1, 2026
by Dinesh Elumalai DZone Core CORE
· 2,620 Views · 2 Likes
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Evolve or Automate: What It Actually Means to Be an AI-Native Data Engineer
The role isn't disappearing. But if you're still doing the same job you were doing two years ago, you're already behind.
September 1, 2026
by Janani Annur Thiruvengadam DZone Core CORE
· 3,069 Views · 1 Like
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Secure AI Systems: Defending Enterprise Applications Against Agent-Era Threats
Secure enterprise AI agents with zero-trust, prompt defenses, identity isolation, secure orchestration, and continuous observability against emerging agent-era threats.
August 31, 2026
by Uthej Mopathi DZone Core CORE
· 2,360 Views · 3 Likes
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How to Monitor AI Models Without Drowning in Alerts
In this article, we will discuss monitoring AI models wisely. Prioritize actionable alerts so that real issues stand out instead of getting lost in the noise.
August 28, 2026
by Aditya Shrivastava
· 2,806 Views · 2 Likes
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The Reasoning Control Plane: The Missing Architectural Layer in Multi-Agent Systems
Multi-agent systems lack a governance layer for reasoning. The Reasoning Control Plane addresses this with shared context, A2A access controls, observability, guardrails.
August 28, 2026
by Sushree Mishra
· 2,481 Views · 2 Likes
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Pragmatic Premature Optimization
Learn simple Java performance tips for strings, collections, enums, and initialization that make code faster without sacrificing readability.
August 28, 2026
by Alexander Radzin
· 3,034 Views · 3 Likes
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Why AI Projects Stall Between Proof of Concept and Production
Many AI projects succeed as prototypes but fail in production due to data, integration, governance, monitoring, and other challenges. Let's find out more.
August 28, 2026
by Vikrant Bhalodia
· 2,374 Views · 2 Likes
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How Engineering Teams Can Build Trustworthy AI Systems Before They Reach Production
How engineering teams can test, monitor, and govern AI systems before deployment to catch failures early and ensure they’re ready for production.
August 27, 2026
by Olamilekan Lamidi
· 3,443 Views
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Orchestrating CNN Training and Inference Workflows With Temporal
Temporal makes CNN training and inference resilient with durable orchestration, automatic retries, checkpoint-based recovery, and reliable workflow execution.
August 27, 2026
by Akhil Madineni DZone Core CORE
· 2,616 Views · 3 Likes
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Running Sentiment Analysis Inside Neo4j With a Java Plugin
A Java UDF that runs sentiment analysis directly inside the Neo4j database engine — no external APIs, no application-layer round-trips, callable from any Cypher query.
August 27, 2026
by Akmal Chaudhri DZone Core CORE
· 2,748 Views · 2 Likes
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How Open Source Builds the Soft Skills Technical Leaders Need
Open source gives software engineers a real environment to practice soft skills like communication, influence, negotiation, trust, empathy, and collaboration.
August 27, 2026
by Otavio Santana DZone Core CORE
· 2,164 Views · 1 Like
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The AI Delegation Lifecycle: Your Team Has AI Outputs. Where Are the Decisions?
The AI Delegation Lifecycle helps teams govern AI work through six stages: decide, route, hand over, define done, inspect, and roll up.
August 27, 2026
by Stefan Wolpers DZone Core CORE
· 2,559 Views
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