My startup for terminals wrapped up mid-2025 when the funding ran dry. So I don’t have money, but what I do have are a very particular set of skills. Skills I have acquired over a very long career convincing terminals they are actually GUIs.
Impeccable: Design skills for AI harnesses
1 skill, 23 commands, and curated anti-patterns for impeccable frontend design. Works with Cursor, Claude Code, GitHub Copilot, Gemini CLI, and Codex CLI.
A Designer’s Guide to the Terminal
You can learn how to use the terminal in a fairly short amount of time. You don’t need a C.S. degree. You don’t need to know how to hack any mainframes.
ui.sh — Turn your terminal into a design engineer
A toolkit for coding assistants like Claude Code, Cursor, and Codex to help you build UIs that don't suck.
Terminal Apps need a DOM | C1
agent-tui runs terminal programs on a PTY and exposes the rendered screen as text or an outline with stable refs. Agents can drive live TUIs, including other AI agents, by snapshotting, pressing keys, and waiting for screen state.
I Hated Every Coding Agent, So I Built My Own — Mario Zechner (Pi)
Terminal UI the Easy Way: BubbleTEA
For the past 18 months I've been tinkering with a terminal application that serves as an Algorand node frontend. I had a number of requireme...
can1357/oh-my-pi
⌥ AI Coding agent for the terminal — hash-anchored edits, optimized tool harness, LSP, Python, browser, subagents, and more
Impeccable: Design skills for AI harnesses
1 skill, 18 commands, and curated anti-patterns for impeccable frontend design.
Navigators-Guild/apprentice-onboarding
Onboarding for those seeking to learn agentic AI tooling.
Learn | Frontend Hire
AI writes the UI now. These tracks build the career it can't: frontend depth, product thinking, AI-powered building, and finding the work that pays for it.
What do professional software developers need to know to succeed in an age of Artificial Intelligence?
Generative AI is showing early evidence of productivity gains for software developers, but concerns persist regarding workforce disruption and deskilling. We describe our research with 21 developers at the cutting edge of using AI, summarizing 12 of their work goals we uncovered, together with 75 associated tasks and the skills & knowledge for each, illustrating how developers use AI at work. From all of these, we distilled our findings in the form of 5 insights. We found that the skills & knowledge to be a successful AI-enhanced developer are organized into four domains (using Generative AI effectively, core software engineering, adjacent engineering, and adjacent non-engineering) deployed at critical junctures throughout a 6-step task workflow. In order to "future proof" developers for this age of AI, on-the-job learning initiatives and computer science degree programs will need to target both "soft" skills and the technical skills & knowledge in all four domains to reskill, upskill and safeguard against deskilling.
Gemini CLI: your open-source AI agent
Free and open source, Gemini CLI brings Gemini directly into developers’ terminals — with unmatched access for individuals.
cmux - The terminal built for multitasking
Free and open source macOS terminal for AI coding agents. Works with Claude Code, Codex, OpenCode, Gemini CLI, Kiro, Aider, and any CLI tool.
Terminal Graph — A spatial development environment for macOS
See everything. Switch nothing. Terminals, browsers, editors, and notes on one infinite canvas with dataflow connections. Native macOS.
