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Why Your Test Automation Is Always Behind the Code And the Architecture That Fixes It
Most QA teams are stuck in a manual scripting loop. Here's the requirement-driven architecture that eliminates the coverage gap permanently.
June 5, 2026
by Waqar Hashmi
· 2,162 Views
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Persistent Memory for AI Agents Using LangChain's Deep Agents
Most AI agents forget you when the session ends. deepagents fixes that — persistent per-user memory across sessions, no vector database.
June 4, 2026
by Ninaad Rao
· 2,938 Views · 4 Likes
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Liquid Glass, Material 3, and a Lot of Plumbing
New iOS Modern (liquid glass) and Android Material 3 native themes, how they work in the Playground, in the simulator, and on devices, plus a week of performance and look
June 4, 2026
by Shai Almog DZone Core CORE
· 2,168 Views · 2 Likes
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Building a High-Throughput Distributed Sequence Generator Using the Hi-Lo Algorithm
Design scalable sequential ID generation in distributed systems using the Hi-Lo pattern with Cosmos DB to reduce contention, improve latency, and maintain ordering.
June 4, 2026
by Vikas Mittal
· 2,152 Views
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The Hidden Cost of AI Tokens: Engineering Patterns for 10x Resource Efficiency
How we cut our AI API bill from $127K to $13.8K monthly — not by switching providers, but by treating tokens as a first-class architectural concern.
June 4, 2026
by Dinesh Elumalai DZone Core CORE
· 2,127 Views · 1 Like
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Testing AI-Infused Apps: A Dual-Layer Framework for AI Quality Assurance
Reliable AI delivery isn't either/or—it's both/and. Test conventionally for functionality. Evaluate probabilistically for quality. Deploy with dual-discipline confidence.
June 4, 2026
by Stelios Manioudakis DZone Core CORE
· 3,462 Views · 2 Likes
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Real-Time AI Inference at Scale Using Cloud Run, GPUs, and Vertex AI
Build scalable threat intel pipelines with Python, STIX/TAXII APIs, and Elasticsearch. Normalize data, preserve context, and enable fast, reliable detection.
June 4, 2026
by khadarvali shaik
· 2,082 Views
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Compliance Automated Standard Solution (COMPASS), Part 11: Compliance as Code, the OSCAL MCP Server Way
How AI-native tooling is finally closing the loop between compliance personas and OSCAL artifacts with an MCP-standardized, AI-agent-ready interface.
June 4, 2026
by Yuji Watanabe
· 2,349 Views
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How to Save Money Using Custom LLMs for Specific Tasks
MCP transforms AI from "chatbot" to "capable agent" by managing the messy details of tool integration and execution. With local models.
June 3, 2026
by Max Tcvetkov
· 1,983 Views · 2 Likes
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Getting Started With Agentic Workflows in Java and Quarkus
A step-by-step tutorial on how to add agentic workflows to Quarkus applications with the Agentican framework via YAML and annotations.
June 3, 2026
by Shane Johnson
· 2,464 Views · 3 Likes
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Build a GitHub Slack Bot With AWS Bedrock and MCP, Part 1
Building a Slack bot with traditional APIs led to 400 lines of code. Using MCP and AWS Bedrock reduced complexity, enabling scalable, tool-driven automation.
June 3, 2026
by Sangharsh Agarwal
· 2,725 Views · 2 Likes
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Building AI-Powered Java Applications With Jakarta EE and LangChain4j
Integrate AI into Java apps with Jakarta EE, CDI, MicroProfile Config, and LangChain4j. Build AI services from simple prompts to type-safe domain-driven interactions.
June 3, 2026
by Otavio Santana DZone Core CORE
· 3,392 Views
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Securing the AI Host: Spring AI MCP Server Communication With API Keys
Part 2 of a step-by-step tutorial that integrates an AI assistant with two dedicated MCP servers and secures the communication.
June 3, 2026
by Horatiu Dan DZone Core CORE
· 2,593 Views · 2 Likes
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Using LLMs to Automate Data Cleaning and Transformation Pipelines
Data cleaning is brittle and time-consuming; LLMs introduce a semantic layer that makes workflows more resilient and easier to maintain.
June 3, 2026
by David Taiwo Balogun
· 2,687 Views
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7 Technology Waves I’ve Seen in 30 Years of Software — Will AI Be the Next Real Transformation?
Every major software wave added new business capabilities. AI’s real impact will come when it powers adaptive, intelligent business systems — not just faster development.
June 2, 2026
by Tribhuwan Bisht
· 3,942 Views · 5 Likes
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The Missing `bandit` for AI Agents: How I Built a Static Analyzer for Prompt Injection
Static analysis for LLM agents that flags prompt-injection risks—like confused deputy flows and dynamic prompts—before runtime, improving security and auditability.
June 2, 2026
by Sanjay Krishnegowda
· 2,063 Views · 2 Likes
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Why Stable RAG Answers Can Still Hide Unstable Evidence
RAG answers can stay stable while evidence shifts. Learn why evidence stability matters for reproducibility, auditability, and debugging — and how to check it.
June 2, 2026
by Punitha Ponnuraj
· 1,905 Views
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Migrate a Hardcoded LangGraph Agent to LaunchDarkly AI Configs in 20 Minutes
Moving a hardcoded LangGraph React agent into LaunchDarkly AI Configs so prompts, models, tools, tracking, and rollout testing can be changed without redeploying.
June 2, 2026
by Scarlett Attensil
· 1,545 Views
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Stop Debugging Glue Jobs Manually: Building an Agentic Observability Layer for Data Pipelines
Glue failures scatter evidence across logs, metadata, and table state. A triage layer pulls it together and flags whether a rerun is safe.
June 2, 2026
by Vivek Venkatesan
· 2,126 Views · 1 Like
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Building a Spring AI Assistant With MCP Servers: A Step-by-Step Tutorial
Part 1 of a step-by-step tutorial that integrates an AI assistant with two dedicated MCP servers and sets the foundation for going to production.
June 2, 2026
by Horatiu Dan DZone Core CORE
· 1,791 Views · 3 Likes
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