AI BriefingKakao news
The latest AI and developer news from Kakao, with short summaries.
Visit website →From Idea Validation to Production with AI Tools: A Case Study of 70% Faster Development
This article introduces a process that reduces MLOps tool development time by 70% and minimizes failure costs through AI pair programming.
Kakao Reduces Data Visualization Time from 1-2 Weeks to One Day Using 'Vibe Coding' with Claude Code
Completed the construction of a 22-page dashboard in one day, which previously took 1-2 weeks, thereby accelerating the speed of analysis sharing.
AI Editor Adoption Boosts Developer Productivity by 55%, Kakao Case Study, and 2025 Tool Classification and Utilization Strategies
In a Kakao survey, 98.9% reported improved productivity, while Stack Overflow traffic has decreased by nearly 50% from its peak.
Refactoring Safely with AI: From Testing to Iterative Improvement
It covers how to use AI to safely refactor code, from testing to iterative improvement.
Real-Time Code Review and Quality Management: The Need for AI Adoption and Expected Benefits
This covers the need for real-time code review and quality management through AI adoption and the benefits expected from it.
Kakao Combines AI with SCAN Static Analysis for Real-Time Detection of Security and Configuration Errors
Kakao has built a system that integrates its static analysis tool SCAN with AI models to detect and review code security vulnerabilities and configuration errors in real time.
Kakao's Test Generation Agent Case Study: LLM-Based Automated Unit Test Generation and Verification Process
This article introduces the LLM-based automated unit test generation and compile, execution, and coverage verification process through a case study of Kakao's test generation agent.
TestLAB AI Releases LLM-Based API Test Automation Tool
Supports generation and maintenance of validation code via natural language prompts, with integration into CI/CD pipelines.
Kakao Reveals UI Test Automation Case Study Using DeviceFarm-Based AI QA Agent
Kakao has developed an AI QA agent that autonomously executes natural language test cases by leveraging LLMs and accessibility APIs on its DeviceFarm infrastructure.
AI-Based Content Moderation: Overcoming Rule-Based Limitations and Human-AI Collaboration Models
AI handles primary filtering to reduce operators' psychological burden and improve judgment consistency.
Kakao Introduces Auxiliary LLM for Text Monitoring to Enhance Efficiency by Explaining Operator Decision Basis
The LLM provides regulatory reasons and summaries in JSON format, reducing monitoring review time.
Building Kakao's Automated Harmful Image Classification System: Model Optimization and Cognitive Psychology-Based Labeling Tool Development
To reduce the burden of manual review, Kakao introduced the Swin Transformer and developed a cognitive psychology-based labeling tool to improve operational efficiency.
Kakao Unveils 'Kanana Safeguard' Series of Korean-Specialized AI Guardrails
Kakao has open-sourced three models under Apache 2.0 that detect harmful content, legal risks, and prompt attacks.
Kakao Automates DevOps with AI-Based Deployment Management Platform 'KakaoRelease'
AI reduced deployment note generation time by 80% and automated risk analysis based on past incident cases.
Kakao Applies AI to Monitoring Solution 'MATRIX' to Automate Incident Analysis and Code Tuning
Ensures stability and security through alternative model chaining during LLM failures and tokenization of sensitive data.
Kakao Reveals AI Collaboration Evaluation Framework and AI-Based Hackathon System Case Study
Kakao validated the possibilities and limitations of AI collaboration by building an AI-based hackathon judging system in just 48 hours.
Agentic Coding Guidebook, AI Collaboration Cheat Sheet, and Standard Ruleset Sharing System
Introduces an Agentic Coding guidebook along with a cheat sheet for AI collaboration and a standard ruleset sharing system.
Kakao Operates Level-Based Customized Education Programs to Strengthen Company-Wide AI Capabilities
Kakao's level-based customized AI education resulted in over 60% of all tech roles participating in the AI Basic course and over 60% of all developers acquiring generative AI application capabilities.
AI Ethics Principles and AI Risk Management Framework
It covers the establishment of AI ethics principles and a risk management framework to systematically manage them.
Kakao Promotes Experimental Culture Encouraging Failure Through AI Beer Chat Day
Kakao is fostering an experimental culture within the organization that does not fear failure by hosting AI Beer Chat Day, where AI agents are utilized as team members.