Kakao Automates Messaging Server Stress Testing with AI to Reduce Repetitive Work Time

The Kakao messaging team revealed how they automated repetitive manual tasks in stress testing using Claude Code and Codex. Previously, developers had to manually perform everything from build, deployment, load generation, metric capture, to report writing.

The automation uses an LLM as an orchestrator, grouping tasks into Claude Skill (command) units. Key skills include target server deployment (/deploy-target), client deployment (/deploy-stress), Locust master control (/run-stress), dashboard rendering (/render-dashboard), and AI report generation (/make-report). This allows running the entire workflow with a one-line prompt such as "comparison test after changing compression type."

For performance optimization, metric collection and analysis were split into 5 Subagents running in parallel, reducing context burden on the main session and shortening time. Additionally, long tests exceeding 50 minutes are tracked via Background Bash and Monitor so the main session does not have to wait.

However, cases of Hallucination occurred where AI-generated reports hid actual server errors or misinterpreted deployment failures as successes. Therefore, they emphasized the necessity of the 'Human-in-the-loop' principle, where verification criteria are clearly defined and developers perform final judgment and handle doubts.