Latest Articles

The Code Generation Bottleneck Is Gone. The Maintenance Bottleneck Isn't.

AI removes code-generation bottlenecks, but maintainability, ownership, review, and governance become software engineering’s new constraints.

October 12, 2026

by Uthej Mopathi

CORE

· 866 Views · 3 Likes

Production RAG and LLM Systems: A Simple Q&A Guide

Building a small RAG demo is easy. Making it work at production scale — millions of documents, real users, tight latency — is a different job entirely.

October 12, 2026

by Ram Ghadiyaram

CORE

· 890 Views

From Legacy ETL to Modern ELT: Engineering a Governed dbt and Databricks Architecture

Modern ELT isn't just replacing legacy ETL with dbt and Databricks. Separating ingestion, transformation, testing, and governance makes business logic easier to trust.

October 12, 2026

by SUNILKUMAR REDDY Eraganeni

· 1,132 Views · 1 Like

Why Standardized Connectivity Is Only Half the Enterprise AI Equation

Model Context Protocol can eliminate substantial integration friction, but production AI agents still need governance, tool discipline, and orchestration.

October 9, 2026

by Grant Spradlin

· 1,136 Views · 1 Like

Does a Bigger Context Window Mean Better Memory: Understanding Context Windows, Model Memory, and RAG

Context is temporary, model memory is learned, and RAG retrieves external knowledge. A larger context window means more input, not perfect recall or permanent memory.

October 9, 2026

by Yakaiah Bommishetti

· 1,507 Views · 2 Likes

The 30 Seconds Before a Mobile App Crash: The Evidence Most Systems Never Capture

Durable breadcrumbs, trace correlation, and post-crash telemetry recovery preserve critical execution context that conventional mobile crash reports routinely lose.

October 9, 2026

by Uthej Mopathi

CORE

· 827 Views · 2 Likes

Multi-Agent Orchestration on AWS With AgentCore Runtime and A2A

Multi-agent systems are common. Here we build a small multi-agent system on Amazon Bedrock AgentCore Runtime using the Agent-to-Agent (A2A) protocol.

October 9, 2026

by Purnanga Borah

· 1,232 Views · 1 Like

How Cache Invalidation Caused Memory Pressure and API Failures at Scale

Aggressive cache invalidation caused memory pressure, latency spikes, and request failures. Reducing invalidations with time-based expiry restored success to 99.9%.

October 9, 2026

by Semyon Slepov

· 1,012 Views · 1 Like

Member Spotlight: Raghava Dittakavi

DZone Core Member Raghava Dittakavi shares why great engineers question assumptions, understand the impact behind every change, and optimize AI to accelerate their work.

October 9, 2026

by Dominique Pugh

· 1,152 Views · 2 Likes

Threat Modeling Context-Aware AI: A STRIDE Walkthrough

How to secure enterprise AI pipelines: a hands-on walkthrough of six threat categories, one reference architecture, and a prioritized list of fixes.

October 9, 2026

by Sandeep Gadde

· 1,272 Views · 4 Likes

Why Your GPU Fleet Is Both Full and Idle: Building a Capacity Orchestration Layer

Managing GPU capacity manually produces fleets that are simultaneously fully allocated and poorly utilized. A capacity orchestration layer can fix the problem.

October 9, 2026

by Ankit Sinha

· 1,092 Views · 1 Like

Production-Grade LLM Regression Testing: Contracts, Evals, and Quality Gates

AI regression testing combines deterministic contracts, behavioral evaluations, production failures, and baseline comparisons to prevent silent LLM regressions.

October 9, 2026

by Uthej Mopathi

CORE

· 1,110 Views · 1 Like

AI Governance Belongs in Your Pipeline, Not in Spreadsheets

Shift AI governance from spreadsheets to code by embedding automated Risk Appetite Statements into CI/CD pipelines as Architectural Fitness Functions.

October 8, 2026

by vikram isanaka

· 1,189 Views · 1 Like

Supercharging AI Agents with Azure Context: A Hands-On Guide to Azure MCP

Here’s a step-by-step guide for cloud engineers on how to bridge local AI assistants with live Azure infrastructure using the Model Context Protocol.

October 8, 2026

by Ammar Ekbote

· 1,269 Views · 1 Like

The Sqrt(t) Volatility Band Is Wrong in Both Directions; Here's What to Compute Instead

Sigma*sqrt(t) misprices volatility bands for fat-tailed series, and the error flips sign with horizon. Here is what to compute instead.

October 8, 2026

by Alex Malinowski

· 874 Views · 1 Like

Why Your MCP Server Loses Session State Behind a Load Balancer

MCP's 2026-07-28 spec removes protocol-level sessions, allowing you to run servers behind round-robin load balancers. Here is the migration guide.

October 8, 2026

by Eshaan Jain

· 960 Views · 1 Like

Putting Guardrails Around What Your AI Agent Is Allowed to Touch

Governance that stops at the model is theater. Put a guardrail gate at the runtime boundary: bind identity, scope retrieval, gate actions, log everything.

October 8, 2026

by Avinash Maddineni

· 1,557 Views · 1 Like

Engineering AI Accountability: Control the Execution Path, Not the Model

True AI accountability requires governing runtime execution paths, explicit authority boundaries, and structured audit evidence, not just model weights.

October 8, 2026

by Maira Ata

· 954 Views · 1 Like

Remember Me, Safely: Durable and Governed Memory for Enterprise AI Agents

Agent memory is durable state, not a model feature: isolate threads by principal, checkpoint at boundaries, redact before writes, and resume idempotently.

October 8, 2026

by Harish Gaggar

· 1,563 Views · 1 Like

AI Has Solved the Code Bottleneck. Now Engineering Leaders Have a Measurement Problem.

AI-assisted engineering is shifting the bottleneck from coding to verification. Learn why traditional metrics miss the hidden cost of AI-generated code.

October 8, 2026

by Igboanugo David Ugochukwu

CORE

· 1,425 Views · 2 Likes

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