
COVER Tech shares report from class-of-2026 engineers on joint new-engineer training
Summary
COVER's COVER Tech blog features two class-of-2026 engineers reporting on the Japan CTO Association's joint training for new engineers. Sessions spanned AWS, Google Cloud, Alibaba Cloud, OpenAI Codex, hardware and ISUCON tuning. The post details their hands-on projects and takeaways for daily development work.
COVER Corporation has shared a new COVER Tech blog post written by two engineers from its class of 2026, identified as I and N.
The post looks back on their participation in the Japan CTO Association's joint training program for new graduate engineers, a cross-company initiative launched in 2024 to raise engineering standards across Japan. COVER also took part last year.
This year's curriculum covered cloud architecture with Amazon Web Services Japan, Google Cloud Japan and Alibaba Cloud Japan, facilitation and career sessions with Members and LayerX, an OpenAI Japan session on the OpenAI platform and Codex, a server-teardown hardware workshop with GMO Internet Group, and a joint ISUCON performance-tuning exercise with PR TIMES.
Engineer I, who normally develops backend systems for the official hololive production app holoplus, reports on the Codex session. The lecture traced the shift from code completion to pair programming and then to agent-style development where tasks are delegated in parallel, and explained concepts such as context management, Skills, Hooks, MCP, Plugins and Subagents, plus the OpenAI Agents SDK for chat, voice and sandboxed agents. For the hands-on portion, I built a web app resembling a TV switcher that gathers multiple livestreams on one screen for quick switching, inspired by large hololive gaming projects where many talents stream at once.
Engineer N, who works on a new app for talents in the CTO Office, reports on the ISUCON training. Working solo on an assigned server, N investigated access logs and slow-query logs, added indexes, fixed N+1 queries, served images statically via Nginx, and later switched the Ruby application's server from Unicorn to multithreaded Puma. N notes that generative AI sharply shortened the cycle from log analysis to fixes, lifting overall scores, and discusses how observability and well-instrumented logs become even more important in an AI-native era.
Both authors thank the Japan CTO Association, instructors and supporting companies, and say networking with new engineers from other firms broadened their perspectives.
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