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Optimize an AI Agent to Sound Human, Judged by an AI Detector
Use LaunchDarkly agent optimization to make an AI agent's replies sound human against GPTZero, an AI detector, as an inverted judge.
September 8, 2026
by Scarlett Attensil
· 2,301 Views · 1 Like
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Why AI Hallucinations Are a Quality Engineering Problem
Most enterprise QA teams aren't equipped to detect AI hallucinations. Here's the testing framework they need with code examples and real-world scenarios.
September 8, 2026
by Rajeshkumar Rajaseakaran Nair
· 2,249 Views · 2 Likes
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What Actually Makes AI Infrastructure Agents More Reliable (It's Not More Agents)
Single AI agents fail during incidents. Four specialized agents — supervisor, telemetry, reasoning, action — handle observability more reliably.
September 8, 2026
by Kinjal Vaishnav
· 1,751 Views · 1 Like
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Architecting Trust: Agentic Microservice Testing Strategies in the Era of Non-Deterministic AI
Learn how to test, monitor, and deploy reliable agentic AI and multi-agent systems in enterprise environments using modern testing and CI/CD strategies.
September 8, 2026
by Viquar Khan DZone Core CORE
· 2,089 Views
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Select AI and Vector Search on a Legacy Oracle Schema: What It Actually Takes
DBAs and developers managing Oracle schemas want to understand what integrating Select AI and vector search entails before applying it to critical systems.
September 7, 2026
by arvind toorpu DZone Core CORE
· 1,657 Views · 1 Like
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Teaching an LLM Your Schema's Rules: Inside Jailer's AI Subsetting Assistant
How a database subsetting tool turned a plain-English request into a reviewable, undoable extraction model — instead of just another SQL-generation chatbot.
September 7, 2026
by Ralf Wisser
· 1,568 Views · 1 Like
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Building an AI Incident Response Runbook: What Engineering Teams Should Do in the First 24 Hours
AI incidents don't follow the security playbook: no CVE, no patch, and evidence that vanishes in minutes unless you've planned ahead.
September 7, 2026
by Yuliia Harkusha
· 4,636 Views · 2 Likes
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How to Design a Multi-Agent AI Framework in Python for Enterprise LLM Workflows
Learn how to build a production-ready multi-agent AI framework in Python that improves reliability, reduces hallucinations, and scales enterprise LLM workflows.
September 7, 2026
by Chidiebere Njoku
· 2,055 Views · 2 Likes
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This $5,000 Berkeley Humanoid Can Be Built With a Desktop 3D Printer
UC Berkeley's open-source Humanoid Lite costs under $5,000 and uses 3D-printed parts, opening humanoid robotics to more researchers and students.
September 4, 2026
by Aminu Abdullahi
· 2,935 Views
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Prompting AI for Analytics: The Missing Optimization Layer Between Your Question and the Model
A practical blueprint for cutting AI token costs in analytics — clean up the question before it reaches the model, then learn from what worked.
September 4, 2026
by Dinesh Pamcheti
· 2,269 Views
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Multilingual Conversational Payments Chatbot Architecture: Enterprise RAG With Safety Guardrails, Human Handoff, and Multi-Modal Support
A retrieval-augmented generation (RAG) pipeline that grounds LLM responses directly in your website/document content to prevent hallucinations.
September 4, 2026
by Sriram Ramakrishnan
· 2,395 Views · 1 Like
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Handling Large API Responses Without Freezing the Client: A Practical Architecture With Temporal, Kafka, and RAG
Use Temporal for orchestration, Kafka for chunk processing, object storage for payloads, and RAG to retrieve relevant data without overwhelming clients.
September 4, 2026
by Uthej Mopathi DZone Core CORE
· 2,511 Views · 2 Likes
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Building Agentic RAG, Step by Step: From Static Retrieval to Reasoning Pipelines
Build an agentic RAG system that plans retrieval, grades results, reformulates queries, and self-checks answers to improve grounding.
September 4, 2026
by Balaji Venkatasubramaniyar DZone Core CORE
· 2,395 Views · 1 Like
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MCP for Enterprise Tasks: Making the Rare Frequent Enough to Master
Agentic clients via MCP are a new human interface to old software. They are an appealing choice: they use native language. But it is not always the wise approach.
September 4, 2026
by Peter Verhas DZone Core CORE
· 2,273 Views · 1 Like
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Why I Don't Want an LLM Generating Java Business Logic
Why do you need a DSL when an LLM generates business logic more than ever? To limit what generated code can do with allow-lists, not deny-lists.
September 4, 2026
by Peter Verhas DZone Core CORE
· 2,706 Views · 1 Like
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Video and Audio as Knowledge Sources: Content Understanding in Microsoft Foundry IQ
Turn video and audio recordings into searchable, citable knowledge for Microsoft Foundry IQ using Azure Content Understanding, MarkItDown, and structured metadata.
September 4, 2026
by Jubin Soni, FBCS DZone Core CORE
· 1,936 Views · 2 Likes
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Designing Safe Agent Permissions: Why Least Privilege Must Exist Outside the Model
AI agents need least-privilege permissions, scoped identities, and policy controls to safely execute actions without exceeding their intended authority.
September 4, 2026
by Igboanugo David Ugochukwu DZone Core CORE
· 2,748 Views · 1 Like
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Enterprises Should Assume AI Agents Will Delete Their Production Base
AI agents will eventually take a destructive action your stack never planned for. Here are five ways to strengthen your identity strategy before agents find the gaps.
September 3, 2026
by Meir Wahnon
· 2,346 Views · 2 Likes
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The Startup Time Trick Hiding Inside Your Docker Build
Spring Boot pods reload the same classes on every start. A CDS training run inside your Dockerfile caches that work once and cuts startup time roughly in half.
September 3, 2026
by Garima Agarwal
· 2,777 Views · 2 Likes
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The Bottleneck of Scaling
Learn how modern languages help developers take care of behind-the-scenes file descriptor management, kernel memory management, and heap management.
September 3, 2026
by Vishal Bhatia
· 2,471 Views · 1 Like
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