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What Full-Stack AI Engineering Means in Real Projects
Full-stack AI development is building an AI feature end to end. In 2026 the hard part is agentic reliability, evals, and production, not the model call.
September 23, 2026
by Paul Schloss
· 2,139 Views · 1 Like
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Beyond Token Intelligence: Why AI Code Review Needs Cognitive Architectures
AI is generating code faster than humans can review it. The fix is cognitive architectures that understand not just "what changed" but "why" and whether it's safe.
September 22, 2026
by Sayan Chatterjee
· 2,428 Views · 3 Likes
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The Math Behind AI Testing: Why 1,000 Test Cases May Tell You Less Than 100
More AI test cases don't automatically increase confidence. Smart, risk-based statistical sampling provides more reliable AI validation than expanding a test suite.
September 22, 2026
by Rajeshkumar Rajaseakaran Nair
· 1,793 Views · 2 Likes
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Using Graph RAG and Specialized Agents to Repair Playwright Tests
Graph RAG and specialized agents diagnose, repair, and validate failing Playwright tests using repository-wide context with modern CI/CD pipelines.
September 22, 2026
by Srinivas Rao Jonnakuti
· 1,906 Views · 2 Likes
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Valkey: Bringing Key-Value Databases to Enterprise Java
Valkey provides high-performance key-value storage for Enterprise Java, with portable APIs and flexible persistence through Eclipse JNoSQL.
September 22, 2026
by Otavio Santana DZone Core CORE
· 2,078 Views · 2 Likes
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How to Build a Production-Ready iOS App With AI-Generated Code
AI-generated iOS apps need rigorous engineering across security, architecture, testing, observability, and reliability before production deployment.
September 21, 2026
by Uthej Mopathi DZone Core CORE
· 2,533 Views · 3 Likes
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When an iOS Retry Executes an Agent Twice: Building Effectively-Once Tool Workflows With LangGraph, MCP Tasks, Kafka, and App Attest
Stable operation IDs prevent iOS retries from duplicating agent tools across LangGraph, MCP Tasks, Kafka, and App Attest.
September 21, 2026
by Uthej Mopathi DZone Core CORE
· 2,120 Views · 3 Likes
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Building an AI System That Makes Your Entire Company Queryable: A Startup's Guide
Learn how to give every employee instant, accurate answers from your company's collective knowledge, without a six-figure infra bill or a security nightmare.
September 21, 2026
by Balaji Venkatasubramaniyar DZone Core CORE
· 1,625 Views · 1 Like
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MCP Is the USB-C of AI — Here's What That Actually Means for Your Architecture
A senior engineer's guide to production MCP: JSON-RPC 2.0 transport, OAuth 2.1 auth, stateless horizontal scaling, and where the protocol genuinely breaks.
September 21, 2026
by Dinesh Elumalai DZone Core CORE
· 2,116 Views · 2 Likes
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When Mobile Connections Break: Recovering Long-Running iOS Workflows With LangGraph and Event-Driven Backends
LangGraph checkpoints and event-driven backends let iOS apps resume long-running workflows after network drops without duplicate work.
September 21, 2026
by Uthej Mopathi DZone Core CORE
· 1,792 Views · 3 Likes
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Edge AI: Why Inference Is Moving Away From the Cloud
Edge inference thrives on-device for real-time, private AI. Advances in hardware and compression cut latency and costs, pushing AI away from the cloud.
September 21, 2026
by Uthej Mopathi DZone Core CORE
· 2,459 Views · 3 Likes
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MCP vs REST/HTTP API vs Kafka: The Architect's Guide to Agentic AI Integration
MCP, Kafka, and REST APIs are not the same: this comparison maps each to the right layer of your agentic AI architecture.
September 18, 2026
by Kai Wähner DZone Core CORE
· 4,048 Views · 1 Like
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Designing Human-in-the-Loop Approval Gates for Enterprise AI Agents
Enterprise AI agents should automate low-risk tasks, require approval for sensitive actions, and maintain strict access, logs, and review.
September 18, 2026
by Praveen VR
· 3,736 Views · 3 Likes
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RAG, Vector Databases, and MCP: Wiring Them Together for Production
This article offers a practical walkthrough for engineers moving past the "RAG demo" stage into systems that hold up in production.
September 18, 2026
by Balaji Venkatasubramaniyar DZone Core CORE
· 3,311 Views · 1 Like
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Common Pitfalls in RAG Applications: What to Avoid When Using Vector Search and Embeddings
RAG is easy to launch and hard to keep reliable. Here are the most common failure modes, their causes, and the Databricks-specific fixes.
September 17, 2026
by Seshendranath Balla Venkata
· 2,773 Views · 1 Like
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Federated MCP Control Plane: Policy-Aware Access to Multi-Backend Tool Servers
A federated gateway replaces scattered local MCP credentials with brokered, short-lived, least-privilege tokens plus the guardrails needed to run it safely.
September 17, 2026
by Harish Gaggar
· 3,072 Views · 3 Likes
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A Senior Engineer’s Guide to Foundry IQ, MCP, and the OpenAI Agents SDK
This hands-on guide shows senior engineers how to combine Microsoft Foundry, Foundry IQ, MCP, and the OpenAI Agents SDK into a flexible agent architecture.
September 17, 2026
by Jubin Soni, FBCS DZone Core CORE
· 5,529 Views · 3 Likes
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Stop Overfeeding Your AI Agent's Context Window
More context doesn't fix a confused AI agent. Skills, MCP, RAG, and memory each solve one specific problem: procedure, connectivity, documented knowledge & experience.
September 17, 2026
by Faisal Feroz
· 4,617 Views · 3 Likes
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Context Engineering: The Missing Piece in Agentic Systems
Let's understand what context engineering is, its importance in agentic systems and how to use it to build efficient AI systems.
September 17, 2026
by Pavan Belagatti DZone Core CORE
· 3,797 Views · 1 Like
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AI Architectures That Drive Real Business ROI
Practical guide to 5 AI architectures that drive business ROI: decision intelligence, personalization, single-agent, multi-agent, and autonomous systems.
September 17, 2026
by Ram Ghadiyaram DZone Core CORE
· 3,555 Views · 1 Like
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