Media coverage: EmEditor’s journey, modernization, and what’s next — featured on Levtech LAB
Since its first release in 1997, EmEditor has evolved around two pillars: being fast even with ultra-large files and being exceptionally capable with CSV workflows. Levtech LAB, Japan has published an in-depth feature that looks at our core performance, practical CSV editing and high-speed search, our recent modernization with CI/CD and AI/Git integrations, and how we pass on engineering know-how across generations.
The article explores why EmEditor remains smooth even with extremely large data sets—up to roughly 16 TB (1.09 trillion lines)—and how our engine-level optimizations deliver fast searches at scale. It also highlights real-world CSV use cases where EmEditor is adopted as a solution when traditional tools hit their limits.
On the development side, it introduces our natural division of responsibilities: I (Yutaka Emura) continue to refine the C/C++ core engine, while my son Makoto focuses on the surrounding areas—DevOps, Git integration, AI assistant features, and plugins. With Makoto’s initiative, we implemented a CI/CD pipeline that automates everything from builds and testing to packaging (installer, portable, Microsoft Store) and publishing. This significantly reduced human error, improved release stability, and allows us to focus more on product quality.
The story also touches on the psychological safety that comes from mutual trust in a small team, how we make product decisions by prioritizing quality, and our commitment to “keep EmEditor the best text editor.”
- Read the full feature (Levtech LAB)
- https://levtech.jp/media/article/focus/detail_715/ (Japanese)
