Latest Articles

Dynamic Arrays, Spill, and LET: What Changed in Excel and Why It Matters for Java Applications

Modern Excel formulas change how spreadsheets work. See what Java developers need to know when choosing a spreadsheet library.

September 9, 2026

by Hawk Chen

CORE

· 3,689 Views · 3 Likes

Bringing Graph Analytics to Snowflake With Neo4j

Run Neo4j graph algorithms directly on your Snowflake data to uncover insights about connectivity, criticality, and failure impact that SQL alone can't easily surface.

September 9, 2026

by Akmal Chaudhri

CORE

· 2,550 Views · 1 Like

RavenDB Launches Quill to Bring Production AI Agents to Enterprise SQL Systems, No Migration Required

The new context layer connects to existing SQL databases and builds a governed, model-agnostic foundation for AI agents running on live operational data, in weeks rather than years.

September 9, 2026

by Technology Wire

· 2,918 Views · 2 Likes

Memory-First Indexes in SQL Server 2025: Redefining Performance for Hybrid Workloads

Learn how SQL Server 2025 memory-first indexing can accelerate hybrid transactional and analytical workloads by reducing disk I/O and latency.

September 9, 2026

by arvind toorpu

CORE

· 2,591 Views · 3 Likes

Cutting Telemetry Volume Is Not the Same as Cutting Noise

A volume target removes bytes, not noise. Once easy cuts run out, you pay in answers you won't have. Govern the questions your team asks, not bytes per day.

September 8, 2026

by Severin Neumann

· 2,808 Views · 3 Likes

Apple-OpenAI Fight Escalates With New MacBook Evidence

Apple says evidence from a former engineer’s MacBook strengthens its trade secret case against OpenAI as the companies clash over AI hardware and hiring.

September 8, 2026

by Aminu Abdullahi

· 3,045 Views · 2 Likes

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

· 2,766 Views · 2 Likes

From ETL, ELT, and EtLT to Agent: What Is Changing in Enterprise Data Engineering?

Enterprise data engineering is evolving from fixed ETL and ELT pipelines toward EtLT and goal-driven agents, with Apache SeaTunnel as the execution layer.

September 8, 2026

by David Zollo

· 2,837 Views · 1 Like

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

· 2,675 Views · 3 Likes

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

· 2,278 Views · 2 Likes

Document SDK vs Basic PDF Library: What Growing Teams Should Know

While basic PDF libraries handle simple tasks like viewing or merging PDFs, growing applications need broader capabilities, scalable performance, security, and support.

September 8, 2026

by Isaac Maw

· 1,681 Views · 2 Likes

Databricks Lakebase: Give Your Agent a Branch, Not Your Production Database

Databricks Lakebase introduces database branching, giving each agent an isolated workspace to safely experiment, test changes, and merge validated updates.

September 8, 2026

by Jubin Soni, FBCS

CORE

· 4,652 Views · 3 Likes

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

CORE

· 2,859 Views · 1 Like

Prevent Duplicate API Calls With Idempotency: Patterns That Work

A timeout doesn't prove failure. Reserve an Idempotency-Key before any side effect, back it with a unique DB index, and replay the recorded outcome on every retry.

September 8, 2026

by Manjeera Chanda

· 1,862 Views · 2 Likes

Your Email Security Is a DNS Configuration Problem

Every email authentication control is really a DNS record, so most email security failures are DNS mechanics, not protocol misunderstandings.

September 8, 2026

by Vadim Ivanov

· 1,855 Views · 1 Like

Dynamic Tool Selection: A Portable Pattern for Agents Drowning in Tool Schemas

Past ~20-30 tools, sending every schema every turn hurts cost and accuracy. A lexical scorer plus a registry-search hatch fixes most of it — no embeddings needed.

September 7, 2026

by Ninaad Rao

CORE

· 2,047 Views · 4 Likes

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

CORE

· 1,947 Views · 2 Likes

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

· 1,834 Views · 2 Likes

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

· 7,005 Views · 3 Likes

DORA Metrics Assume Your CI Pipeline Is Telling the Truth. What If It Is Not?

When mock files drift from current service behavior, DORA metrics underreport failures. Deployment rework rate is the metric that shows what change failure rate missed.

September 7, 2026

by Sancharini Panda

· 1,589 Views · 2 Likes

Latest Articles - DZone