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Why TUIs Are Back

Alcides Fonseca

wiki.alcidesfonseca.com

May 3, 2026

7 min read

🔥🔥🔥🔥🔥

60/100

Summary

Terminal User Interfaces (TUIs) are experiencing a resurgence, offering immediate feedback and appealing to tech enthusiasts. DHH's Omarchy incorporates TUIs, web applications, and native applications, reflecting a trend similar to the evolution of code editors over the past decade.

Key Takeaways

  • Terminal User Interfaces (TUIs) are experiencing a resurgence as part of a new user interface paradigm that includes web applications and native applications.
  • Microsoft has struggled with a coherent GUI strategy, resulting in a series of unsuccessful frameworks and a reliance on Electron apps for enterprise and personal desktop applications.
  • Linux's UI inconsistency is a result of design freedom among different teams, leading to the dominance of GTK and Qt frameworks, while many companies opt for Electron to avoid the complexities of native Linux application development.
  • Apple has deviated from its original Human Interface Guidelines, resulting in a decline in the consistency and usability of macOS interfaces.
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Community Sentiment

Mixed

Positives

  • The rise of TUIs can be attributed to their ability to deliver applications over SSH, enabling seamless access without local installations, which enhances usability.
  • Developing TUIs requires zero user involvement for deployment, making them an attractive option for developers looking for efficiency.
  • The appeal of TUIs lies in their aesthetic and usability, particularly when built with robust frameworks like Go, which offer excellent developer experience.

Concerns

  • Many TUIs are heavily reliant on NPM, raising concerns about security and the quality of the underlying code, which can lead to instability.
  • There's a perception that the current trend towards TUIs is a reaction to the lack of investment in native UI development, which could stifle innovation.
  • The sentiment that most LLM-adjacent software is poorly maintained and prone to issues suggests a troubling trend in the quality of AI tools.

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