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The latest AI and developer news from Yogiyo, with short summaries.

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Service Web Development Team Preemptively Blocks 1,717 Defects Using ATDD and AI Agents

The Service Web Development Team combined ATDD and AI agents to preemptively block 1,717 defects before QA began.

·2026.08.31 16:00

500MB Memory Spike Every 2 Hours After EKS Migration: Cause Identified as Log Compression and Page Cache

The periodic memory spikes occurring after the EKS migration were confirmed to be caused by log compression and page cache.

·2026.08.27 17:00

Integrating AI into SRE Operations — Part 2: Automating Incident Root Cause Analysis with Alert Adviser

The SRE team at Yeogi-eottae Company built Alert Adviser, which uses AI to analyze Grafana alerts and automatically trace incident root causes and impact scopes.

·2026.08.24 14:00

Integrating AI into SRE Workflows — Part 1: Automating Infrastructure Cost Estimation with Smart RI Calc

The Yeogi Eottae SRE team combined AI and code to automate infrastructure cost estimation and EKS node scaling predictions.

·2026.08.24 14:00

Rewriting the Load Test for WebFlux Migration

The 4x performance gain during the WebFlux migration was due to measurement environment errors, and the existing blocking approach proved more efficient for CPU-bound workloads.

·2026.08.21 11:00

How Trying to Resolve Deadlocks Led to Reducing Locks

This article outlines the process of redesigning the pessimistic lock strategy to prevent deadlocks during Kafka event processing.

·2026.08.20 17:00

Turning a Single NPE into a Team Defense System

Analyzed an NPE incident in production and proposed design principles using Optional and domain objects to structurally prevent null errors.

·2026.08.20 17:00

Why We Reunited at Yeogiattae

This episode highlights how Yeogiattae team lead Billy and team member Josie reunited through the internal referral program to join the development of the company's AI platform, YAPP.

·2026.08.20 17:00

Building Agentic RAG with Internal Knowledge (1/3): Establishing the RAG Pipeline Foundation

Yeogi-eottae Company designed a data pipeline to build an Agentic RAG MCP that leverages internal knowledge.

·2026.08.20 16:00

Building an Audience Builder: A Marketer Automation System Created by an Analyst

A data analyst with no development experience built 'Audience Builder' using AI agents to automate marketing target extraction and delivery.

·2026.08.18 09:00

Building a DL Model in 3 Weeks with Minimal Coding

A search DL model was completed in 3 weeks using AI agents and automation loops.

·2026.08.13 13:00

Where Should Failed Messages Go? Three Pitfalls in Kafka Retry/DLT Design and Operations

This article covers three pitfalls in designing and operating Retry and DLT mechanisms for handling Kafka message processing failures.

·2026.08.05 16:00

How to Get Agents to Properly Use Design System Components

Covers how to make AI agents consistently use design system components.

·2026.08.04 14:00

Your AI Has Aged

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·2026.07.31 17:00

From Transaction Scripts to Accommodation Meta Data and Price Calculation Modules — Improving Exhibition Architecture (2/3)

We improved the architecture by separating the transaction script structure, where business logic was mixed together, into accommodation meta data and a price calculation module.

·2026.07.21 17:00

JVM Heap is fine, so why does memory blow up? — A Native Memory Deep Dive in Docker (Part 2)

This analyzes native memory usage and OOM issues that occur outside the JVM Heap in a Docker environment.

·2026.07.01 16:00

Spring Data Redis: Repository vs RedisTemplate — A Real-World Performance Comparison

Yeogiotae's Exhibition Development Team shares a case study of analyzing a CPU 100% outage caused by using Redis Repository and resolving it by switching to RedisTemplate.

·2026.07.01 16:00

Building a Brand Graphic System for the AI Era

Yeogieottae's Triphollic built an AI prompt-based graphic generation system to maintain brand consistency.

·2026.06.19 14:00

PickYou Get an Ally for 90 Days! The Buddy System

Yeogiotae introduces its 'Buddy System,' an onboarding program run to help new hires adjust to the organization.

·2026.06.16 10:00

Aurora MySQL's Hidden Idle Close Behavior — Tracking Down HikariCP's "Failed to validate connection"

An analysis of how Aurora MySQL's non-standard idle close behavior causes HikariCP connection validation errors.

·2026.06.08 11:00