Is anything done with AI automatically slop? I don't understand this

Problem is, some people are really impressed by ricing and that is what has been catching users for that ""distro""

I'm pretty sure the fans of minimalism/t distros or just plain bare setups aren't really hyping that much. The author is right in that it's just an opinionated layer on top of Arch

https://github.com/flipbit03/cuqueclicker

Runs locally and has binaries for every platform that matters out there, including a WASM port that saves your save data to local storage

WASM Port here: https://flipbit03.github.io/cuqueclicker/

Try it out! It's a fun little idle game

It's basically tmux for your coding agent, great for developing and debugging TUI applications as well, because now your agent has a closed feedback loop of applying changes and trying them out itself via tu.

https://github.com/flipbit03/terminal-use

Comments URL: https://news.ycombinator.com/item?id=48000030

Points: 4

# Comments: 1

https://github.com/flipbit03/terminal-use

I'm super proud, because it came to my knowledge that someone at Codex used my tool to debug codex+zellij issues, by running zellij within `tu`, and then codex inside zellij

Comments URL: https://news.ycombinator.com/item?id=47512362

Points: 2

# Comments: 0

1. Install ``` curl -fsSL https://raw.githubusercontent.com/flipbit03/lineark/main/ins... | sh ```

2. Generate your Personal Linear token and set it ``` echo "lin_api_..." > ~/.linear_api_token ```

You're done :)

Comments URL: https://news.ycombinator.com/item?id=47316275

Points: 1

# Comments: 0

lineark takes a different approach: it's a CLI your agent calls via Bash. The full command reference (lineark usage) is under 1,000 tokens.

It's also just a nice CLI for humans — human-readable names instead of UUIDs, auto-detected output format (outputs tables in terminal/interactive session, JSON when piped).

Under the hood: the SDK is fully generated from Linear's GraphQL schema via a custom codegen pipeline (apollo-parser → typed Rust). The CLI consumes the SDK with zero raw GraphQL — just typed method calls. You can also create your own lean return data types and validate them against Linear's schema at comptime.

MIT Licensed.

Happy to answer questions. Thanks!

Comments URL: https://news.ycombinator.com/item?id=47023922

Points: 3

# Comments: 0

  Show HN: forestui – TUI for git worktrees with Claude Code + GitHub integration

  I built forestui to manage the chaos of working on multiple features/branches simultaneously. It's a tmux-powered TUI that orchestrates your worktrees, editors, terminals, and Claude Code sessions across organized tmux windows (edit:repo:branch, claude:repo:branch, term:repo:branch). Switch contexts without losing state.

  Why? Git worktrees let you have multiple branches checked out at once without stashing or juggling, but I find managing them with raw git commands painful.

  What it does:

  - Worktree management: Create, rename, archive, delete worktrees with single keypresses. Each worktree gets its own directory, so you can have feat/auth, fix/bug-123, and main all open in different editor windows simultaneously.
  - GitHub integration: Lists your open issues directly in the TUI (using the gh cli). See an issue you want to work on? One keypress creates a worktree with an auto-generated branch name (42-fix-login-bug) and optionally pulls latest first.
  - Deep Claude Code integration: Tracks sessions per-worktree, shows recent sessions with message counts and last activity, resume any session with one keypress. Also trigger Claude's YOLO mode for fast iteration in a wt using a single button press.

  Tech: Python 3.14, Textual for the TUI (app is fully reactive and works with mouse well), Pydantic for models, libtmux for tmux integration. Strict mypy, async everywhere so the UI never blocks.

  Install:

  # One-liner (installs uv if needed)
  curl -fsSL https://raw.githubusercontent.com/flipbit03/forestui/main/install.sh | bash

  # If you already use uv
  uv tool install forestui

  Auto-updates on startup via uv. Requires tmux and, optionally, the gh cli.

Comments URL: https://news.ycombinator.com/item?id=46864999

Points: 5

# Comments: 1

https://github.com/flipbit03/caducode

The philosophy behind it is: instead of providing a bunch of tools to the LLM, you simply provide a single tool: run_python(). The Agent just generates code to do whatever it needs, to inspect local files, to carry edits, to run commands.

https://github.com/flipbit03/caducode

It worked surprisingly well, even with a very small 30b local model.

proceeds to show a piece of code importing anthropic

was pretty confusing to me