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Latest Articles - DZone

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Working With Cowork: Don’t Be Confused
Working with Cowork: Claude Desktop is three applications pretending to be one. In this article, see the tables of what is shared.
May 14, 2026
by Stefan Wolpers DZone Core CORE
· 2,486 Views
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Ten Years of Beam: From Google's Dataflow Paper to 4 Trillion Events at LinkedIn
Apache Beam turns ten. From Google's 2015 Dataflow paper to 4 trillion daily events at LinkedIn — what it got right, where it falls short, and what comes next.
May 14, 2026
by Abgar Simonean
· 1,547 Views
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Lease Coordination Under Serializable Isolation in CockroachDB
Designing scalable lease coordination in CockroachDB, focusing on key distribution, concurrency, and reducing transaction conflicts in multi-region systems.
May 14, 2026
by Nishant Jain
· 1,505 Views
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AI Agents Expose a Design Gap in Microservices Resilience Architecture
Microservices assume predictable callers. AI agents break this with non-deterministic calls, fan-out, and retries. Here are 5 core assumption breaks and fixes.
May 13, 2026
by Vineet Bhatkoti
· 3,877 Views · 1 Like
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Readiness Is All You Need
AI work now hinges on reading, not prompting. Those who carefully read and question outputs outperform those who accept polished but flawed results.
May 13, 2026
by Nacho Corcuera
· 1,606 Views · 1 Like
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Navigating the Complexities of AI-Driven Integration in Multi-Cloud Environments: A Veteran’s Insights
AI is transforming multi-cloud integration with real-time, decentralized, secure systems — improving compliance, APIs, and scalability across industries.
May 13, 2026
by Abhijit Roy
· 2,397 Views · 1 Like
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You Learned AI. So Why Are You Still Not Getting Hired?
Most AI job seekers learn tools. Employers hire people who can specify tasks, evaluate outputs, manage risk, and deliver real business value with AI.
May 13, 2026
by Faisal Feroz
· 5,138 Views · 3 Likes
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Stop Using the ATM-Didn’t-Kill-Jobs Story to Reassure Developers About AI
The ATM didn’t kill bank tellers’ jobs — the iPhone did. Getting the history right isn’t reassuring; it clarifies why developers should pay attention.
May 13, 2026
by Thomas Johnson DZone Core CORE
· 3,361 Views
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Spec-Driven Integration: Turning API Sprawl Into a Governed Capability Fleet for AI
Alpha release of a new integration approach that translates your existing data and APIs into standardized APIs, MCP, and agent skills for AI.
May 13, 2026
by Kin Lane
· 1,766 Views
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AWS Kiro: The Agentic IDE That Makes Specs the Unit of Work
You describe a feature, and Kiro generates structured requirements.md, design.md, and tasks.md files first, then implements against them.
May 13, 2026
by Jubin Abhishek Soni DZone Core CORE
· 2,924 Views · 2 Likes
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How to Build and Optimize AI Models for Real-World Applications
Building effective AI models for real-world applications requires clear problem definition, quality data, the right algorithms, continuous testing, and optimization.
May 13, 2026
by Mitchell Jhonson
· 1,428 Views
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How to Test a PATCH API Request With REST-Assured Java
This tutorial demonstrates how to test PATCH requests using REST Assured in Java for API testing, including examples of partial data updates.
May 13, 2026
by Faisal Khatri DZone Core CORE
· 3,846 Views
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The Cost of Knowing: When Observability Becomes the Outage
Observability costs spiral when teams optimize for visibility, not cost. Fix it by making spend visible, sampling aggressively, and cutting low-value data.
May 13, 2026
by David Iyanu Jonathan
· 1,322 Views
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LLM Integration in Enterprise Applications: A Practical Guide
LLM integration boosts efficiency, automates workflows, and sharpens decisions — but success hinges on strategy, execution, and business alignment.
May 13, 2026
by Lilly Gracia
· 1,933 Views
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Solving the Mystery: Why Java RSS Grows in Docker on M1 Macs
Java apps running in x86-64 Docker containers on ARM64 M1 Macs experience mysterious RSS memory growth due to Rosetta 2 translation cache. The culprit? JIT compilation.
May 12, 2026
by Sumeet Sharma
· 3,694 Views · 1 Like
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The Art of Token Frugality in Generative AI Applications
Trim your prompts, cache aggressively, route simple queries to smaller models, constrain your outputs, and swap JSON for TOON to lower token bills.
May 12, 2026
by Sibanjan Das
· 2,178 Views
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Has AI-Generated SQL Impacted Data Quality? We Reviewed 1,000 Incidents
We analyzed 1,000 data pipeline incidents across 500+ environments and found that code-related failures still account for ~10% of all data quality issues.
May 12, 2026
by Lior Gavish
· 2,667 Views
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Code Quality Had 5 Pillars. AI Broke 3 and Created 2 We Can’t Measure
AI-generated code broke three of the five classical non-functional quality pillars — readability, maintainability, and security — while creating two new dimensions
May 12, 2026
by Abgar Simonean
· 2,703 Views · 3 Likes
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You Secured the Code. Did You Secure the Model?
AppSec focuses only on code, leaving AI supply chains exposed. Effective security embeds AI checks into workflows, scanning PRs and AI components continuously.
May 12, 2026
by Eran Kinsbruner
· 1,917 Views
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The 7 Pillars of Meeting Design: Transforming Expensive Conversations into Decision Assets
Most meetings waste engineering time, increase latency, and break focus. The 7 Pillars of Meeting Design help teams create efficient, outcome-driven decisions.
May 12, 2026
by Otavio Santana DZone Core CORE
· 2,334 Views
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