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The Latest Coding Topics

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Kubernetes Says Ready. Your LLM Still Isn’t.
Kubernetes can say Ready before an LLM can infer. Measure the gap, then make the readiness check a real inference in production.
September 9, 2026
by Shamsher Khan DZone Core CORE
· 3,126 Views · 2 Likes
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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 DZone Core CORE
· 3,576 Views · 3 Likes
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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 DZone Core CORE
· 2,494 Views · 1 Like
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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
· 2,829 Views · 2 Likes
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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 DZone Core CORE
· 2,500 Views · 3 Likes
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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 DZone Core CORE
· 2,011 Views · 4 Likes
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How to Design a Multi-Agent AI Framework in Python for Enterprise LLM Workflows
Learn how to build a production-ready multi-agent AI framework in Python that improves reliability, reduces hallucinations, and scales enterprise LLM workflows.
September 7, 2026
by Chidiebere Njoku
· 2,406 Views · 3 Likes
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Handling Large API Responses Without Freezing the Client: A Practical Architecture With Temporal, Kafka, and RAG
Use Temporal for orchestration, Kafka for chunk processing, object storage for payloads, and RAG to retrieve relevant data without overwhelming clients.
September 4, 2026
by Uthej Mopathi DZone Core CORE
· 2,866 Views · 3 Likes
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Why I Don't Want an LLM Generating Java Business Logic
Why do you need a DSL when an LLM generates business logic more than ever? To limit what generated code can do with allow-lists, not deny-lists.
September 4, 2026
by Peter Verhas DZone Core CORE
· 3,269 Views · 2 Likes
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The Startup Time Trick Hiding Inside Your Docker Build
Spring Boot pods reload the same classes on every start. A CDS training run inside your Dockerfile caches that work once and cuts startup time roughly in half.
September 3, 2026
by Garima Agarwal
· 3,488 Views · 4 Likes
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How I Run Two AI Coding Agents on One Codebase
Isolated worktrees, explicit ownership boundaries, and automated validation enable multiple AI coding agents to develop safely in parallel.
September 3, 2026
by Uthej Mopathi DZone Core CORE
· 3,055 Views · 3 Likes
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The Bottleneck of Scaling
Learn how modern languages help developers take care of behind-the-scenes file descriptor management, kernel memory management, and heap management.
September 3, 2026
by Vishal Bhatia
· 2,934 Views · 2 Likes
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Building a Python API Client That Doesn’t Fall Apart When the API Misbehaves
Build a safer Python API client with timeouts, selective retries, exponential backoff, jitter, and better handling of rate limits and temporary failures.
September 3, 2026
by Ally Garcia
· 2,372 Views · 4 Likes
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Making Running Optional: Scaling AI Agents on Kubernetes With Agent Substrate
Learn how an early-stage open-source project separates workload lifecycle from compute allocation for bursty, stateful, and massively concurrent AI workloads.
September 3, 2026
by Mayowa Fajobi
· 2,739 Views · 1 Like
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Node.js Microservices Architecture: A Complete Guide
This guide walks you through the core architecture components and design patterns needed to build scalable microservices with Node.js and explains when to use each.
September 2, 2026
by Megha Verma
· 3,555 Views · 2 Likes
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3D Air Quality Maps With Neo4j, Python, and R
Fetch AQI data from IQAir, store it in Neo4j, then visualize it with pydeck, Leaflet and R, plus Cypher queries showing what graph-native analysis looks like.
September 2, 2026
by Akmal Chaudhri DZone Core CORE
· 2,223 Views · 1 Like
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Enterprise Architecture in the AI Era: Tools, Capabilities, and the Road to Autonomy
EA tools centralize business and IT data to improve alignment, governance, decision-making, and portfolio management while enabling AI-driven automation.
September 1, 2026
by Dr Gopala Krishna Behara DZone Core CORE
· 4,524 Views · 4 Likes
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Designing Replay-Safe CDC Pipelines With Kafka, Debezium, and Recovery Contracts
How to design CDC pipelines with Kafka, Debezium, idempotent writes, deterministic projections, replay workflows, reconciliation checks, and recovery evidence.
September 1, 2026
by Ishan Shah
· 3,177 Views · 2 Likes
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Building a Zero-Cost Daily Job Alert Pipeline on GitHub Actions
Run a daily cron job on GitHub Actions for free by committing a JSON file back to the repo as your database, plus the gotchas from 139 production runs.
September 1, 2026
by Mandar Chaudhari
· 4,202 Views · 2 Likes
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Stop Hardcoding Database Checks: Building a Metadata-Driven Data Quality Framework
Decouple validation from code. Learn how to build a dynamic, metadata-driven data quality framework using Databricks, Snowflake, and Python.
September 1, 2026
by Kshitish Nath
· 2,366 Views · 1 Like
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