Latest Articles

Jakarta Batch in Practice: Reliable Chunk-Oriented Processing for Enterprise Workloads

Jakarta Batch gives enterprise apps a standard model for long-running data processing with jobs, steps, readers, processors, writers, checkpoints, and tunable execution.

September 29, 2026

by Otavio Santana

CORE

· 1,345 Views · 3 Likes

The Warning That Never Stops the Agent

Deepagents tracks real session cost but only shows a toast. Nothing stops the loop from spending past a limit. A before_model hook that can jump to "end" closes that gap.

September 29, 2026

by Ninaad Rao

CORE

· 882 Views · 1 Like

Jakarta Faces Flow Scope: Managing Multi-Step UX Without Session State

Jakarta Faces @FlowScoped preserves state across views without using the entire session, making it ideal for wizards, onboarding, checkout, and multi-step workflows.

September 29, 2026

by Otavio Santana

CORE

· 1,035 Views · 1 Like

AI Coding Is Moving From Trusting the Model to Constraining What It Can Do

AI coding is shifting from trusting models to constraining them with permissions, tools, and deterministic checks. BUBAS applies the same idea to business logic.

September 28, 2026

by Peter Verhas

CORE

· 1,032 Views · 1 Like

From Giant Prompts to On-Demand Skills: Build an Extensible AI Agent With Progressive Disclosure

Progressive disclosure replaces giant prompts with lightweight skill summaries and on-demand instructions, keeping AI agents focused and extensible.

September 28, 2026

by Akhil Madineni

CORE

· 1,282 Views · 3 Likes

Beyond Screenshots: Building Replayable Production Diagnostics for Hard-to-Reproduce Bugs

Capture privacy-safe production event timelines to reconstruct failures, correlate backend activity, and diagnose bugs that screenshots cannot explain reliably.

September 28, 2026

by Uthej Mopathi

CORE

· 695 Views · 3 Likes

The Request Timed Out, But the Payment Succeeded: Building Retry-Safe Mobile APIs

Build retry-safe mobile APIs that prevent duplicate transactions during network failures, timeouts, and automatic retries.

September 28, 2026

by Uthej Mopathi

CORE

· 886 Views · 4 Likes

The Agent Changed Its Plan Mid-Run: Reconciling AI Decisions With Completed Temporal Activities

Reconcile AI plan changes with completed Temporal Activities using versioned plans, idempotent execution, and compensation rather than retroactive rollback.

September 28, 2026

by Akhil Madineni

CORE

· 920 Views · 3 Likes

Building a Product Recommendation Engine With Neo4j — No ML Library Required

A graph models customers, products, categories and tags, making collaborative filtering, co-purchase analysis, content similarity, and trending queries graph traversals.

September 28, 2026

by Akmal Chaudhri

CORE

· 1,065 Views · 1 Like

Why Incident Response Needs Memory, Not Just Intelligence

LLMs are excellent at reasoning, but effective incident response depends just as much on remembering previous incidents and organizational operational context.

September 28, 2026

by Akshay Pratinav

· 939 Views · 1 Like

Stop Paying a Model to Make Decisions You Already Made

A skill that spells out a fixed procedure in prose makes Claude re-decide it every run. Here's how to measure that cost using data Claude Code already emits.

September 28, 2026

by Amith Reddy Ravuru

· 917 Views · 1 Like

Beyond Batch: Engineering Enterprise Systems for Real-Time Decisioning

Batch processing works well for many workloads, but real-time decisioning requires event-driven architecture designed for resilience, observability, and failure handling.

September 25, 2026

by Prem Kumar Gadhanki

· 1,427 Views

Prompt Caching Doesn't Save Money on Turn One

Cache writes cost 1.25x the input price, and reads cost 0.1x. So a fresh conversation's first turn is more expensive with caching on.

September 25, 2026

by Ninaad Rao

CORE

· 1,350 Views · 2 Likes

Software Quality Habits and AI

Software quality depends on daily habits. Learn how small habits compound and how AI can strengthen quality while weakening engineering judgment.

September 25, 2026

by Stelios Manioudakis

CORE

· 2,575 Views · 3 Likes

Can Your Team Name the Work It Already Runs With AI?

The AI Workflow Inventory gives teams a shared list of recurring AI work, creating the foundation for A3 delegation decisions.

September 25, 2026

by Stefan Wolpers

CORE

· 1,933 Views · 3 Likes

Building a Practical Cloud-Native Golden Path: A Guide to Kubernetes-Based Service Delivery, Self-Service, and Developer-Friendly Defaults

Golden paths standardize software delivery with self-service workflows, deployment guardrails, and observability while preserving team autonomy.

September 25, 2026

by Naga Santhosh Reddy Vootukuri

CORE

· 1,704 Views · 1 Like

One Agent, Two Runtimes: Defining State Ownership Between Temporal and LangGraph

Temporal owns coordination, LangGraph owns agent state, and external systems own outcomes. Stable IDs and idempotency keep retries and recovery consistent.

September 25, 2026

by Akhil Madineni

CORE

· 1,222 Views · 3 Likes

Member Spotlight: Mayowa Fajobi

This week, we got to know DZone contributor Mayowa Fajobi and his journey into open source and platform engineering, as well as what he enjoys outside of work.

September 25, 2026

by Dominique Pugh

· 995 Views · 1 Like

Testing Business Programs Without Constructing Domain Objects

How can you test business rules and business-level orchestration without domain objects? Why is making domain objects for the business rules opaque a good restriction?

September 25, 2026

by Peter Verhas

CORE

· 923 Views · 1 Like

How to Verify Response Data in API Testing With Playwright TypeScript

Learn how to verify the response data, including structure checks, basic validations, and more, in API Testing with Playwright TypeScript

September 25, 2026

by Faisal Khatri

CORE

· 1,545 Views · 1 Like

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