15 CLI Tools That Make AI-Assisted Coding in the Terminal Actually Work

The terminal is no longer a fallback interface for developers who refuse to move on. It is the main stage. AI coding agents run there, generate files there, commit code there. The graphical IDE still has a role, but the terminal is where most AI-assisted development actually happens now, in a black rectangle with a blinking cursor.

That shift created a problem most developers felt before they could name it. Standard terminal setups were built for humans typing commands one at a time. They were not built for an AI agent rewriting 30 files in 90 seconds while you try to figure out what just changed. The cockpit hasn't kept up with the aircraft. What AI agents produce and what developers can actually monitor are diverging fast, and the exposed feeling of watching an agent commit code you haven't reviewed is now the default experience.

These 15 tools close that gap. Some have been around for years. Others showed up in the past few months, purpose-built for a world where your coding partner is a language model. None of them require you to leave the terminal.

Orientation is the first thing you lose

1. LazyGit

A terminal UI for Git that turns the wall of git log output into something you can actually navigate. Panes for files, branches, commits, stash. Arrow keys to move between them, spacebar to stage, c to commit.

Where it actually earns its place: an AI agent just finished a task, 12 files changed, and you have maybe 45 seconds before your brain moves on. LazyGit gives you each diff individually instead of one merged wall of green and red. Stage what looks right, discard what doesn't.

brew install lazygit

2. Glow

A markdown reader for the terminal. AI agents produce markdown constantly, plans, documentation, changelogs, config files. Glow renders them with formatting, headers, code blocks, and color instead of dumping raw text.

brew install glow
glow README.md

For quick reads, Glow is faster than opening a file in an editor. For deeper work, pair it with NeoVim.

3. Eza

A modern replacement for ls. Color-coded file types, icons, Git status indicators, tree views. Output designed to let you spot what changed in a directory without reading every filename.

brew install eza
alias ls="eza --icons --grid --group-directories-first"
alias ll="eza -la --icons --git"
alias lt="eza --tree --level=2 --icons"

Small upgrade. Surprisingly large effect when you have 10 terminal windows open across multiple projects.

4. Zoxide

A smarter cd. Zoxide tracks which directories you visit most frequently, then lets you jump to them with fuzzy matching. Type z proj and it takes you to /home/user/work/client-project because that is where you went last Tuesday. And the Tuesday before that.

brew install zoxide
eval "$(zoxide init zsh)"
z myproject    # jumps to the best match
zi             # interactive fuzzy finder

Saves a few seconds each time. Over a full day, that adds up to minutes you never notice losing.

5. Ranger

Think of it as Finder for people who SSH into Linux boxes all day. Ranger splits your terminal into three columns, parent directory, current, and a file preview pane on the right. Everything runs on Vim keys, h/j/k/l for navigation, yy and pp for copy-paste.

Ranger becomes essential on remote Linux machines where there is no Finder, no VS Code sidebar, nothing visual at all. When an AI agent has been restructuring a project on a VM, Ranger is how you see what happened.

brew install ranger    # macOS
sudo apt install ranger  # Debian/Ubuntu

Your machine is working harder than you think

6. Btop

System monitoring with actual visual design. CPU cores as individual graphs, memory as a progress bar, process list sorted by resource usage, network throughput in real time. All in the terminal.

Running a local AI model alongside a coding agent eats resources fast. Btop shows you exactly where the pressure is before your machine starts swapping to disk.

brew install btop

Mac users should also look at mactop for Apple Silicon-specific metrics, efficiency cores versus performance cores, GPU utilization, Neural Engine activity.

7. LLM Fit

Analyzes your hardware and prints a ranked table of which local AI models your machine can actually run. Columns for memory usage, parameter count, performance score. Click into any model for details.

brew tap AlexsJones/llmfit
brew install llmfit
llmfit

Saves you from downloading a 70-billion-parameter model only to discover your GPU cannot load it.

8. Models CLI

A terminal dashboard for comparing AI model providers. Pricing, context windows, benchmark results, agent changelogs. Over 2,000 models across 85-plus providers, browsable without opening a browser tab.

brew install arimxyer/tap/models
models

Useful when you need to pick between three models for a task and want the comparison in your terminal, not scattered across five marketing pages.

Raw output is the enemy

9. Bat

cat with syntax highlighting, line numbers, and Git diff markers. Every language you can think of, detected automatically.

brew install bat
bat server.py

Syntax highlighting turns scanning into reading. Bat does it automatically, every time, for every file you open. No configuration needed.

10. Chafa

Renders images directly in the terminal. Photos, architecture diagrams, whatever your agent just generated. It works by mapping pixels to Unicode blocks and your terminal's color palette. Looks best in iTerm2 or Kitty. In a bare xterm over SSH it gets rough, but honestly, you can still tell what you're looking at, which is all you need when you just want to confirm an agent generated the right chart.

brew install chafa
chafa screenshot.png
chafa --size=80x40 diagram.png

Beats alt-tabbing to Preview every time your agent drops a PNG into the project folder.

11. csvlens

A TUI for CSV files. Columns stay aligned, you can search across rows, sort by any column, scroll horizontally. Invisible until you try to read a 40-column CSV with cat.

brew install csvlens
csvlens data.csv

12. Nushell

Most shells treat everything as text. Nushell doesn't. It passes structured data between commands, tables with actual columns and rows. Feed it a JSON API response and you get something you can filter and sort without writing a single regex. No awk. No sed.

ls | where size > 10mb | sort-by modified

Nushell is not trying to replace Bash for everything. But for data inspection and API responses, it makes shell scripts that someone else can actually read.

The cockpit still has blind spots

13. Starship

A cross-shell prompt written in Rust. Git branch, dirty state, active runtime version, cloud profile, last command duration. Fast enough that you forget it's doing anything.

brew install starship
eval "$(starship init zsh)"

Works with Bash, Zsh, Fish, PowerShell. One config file controls everything. After a week with Starship, default prompts feel like working with the lights off.

14. HTTPie

An HTTP client designed for humans. Natural syntax, colorized JSON output, sensible defaults. Testing an API endpoint goes from a 90-character curl command with seven flags to something readable.

brew install httpie
http POST api.example.com/users name=test [email protected]

For quick API tests during development, HTTPie removes the friction that makes you reach for Postman instead.

15. Taproom

An interactive TUI for Homebrew. Browse installed packages, discover new ones, filter by casks versus formulae, check what is outdated. Faster than chaining brew list, brew search, and brew info separately.

brew install gromgit/brewtils/taproom
taproom

Press I to toggle installed-only view. Useful when you have 200 packages and cannot remember which ones you actually use.

Where to start

You do not need all 15 at once. Three will change your daily experience immediately:

LazyGit for reviewing what your AI agent just did. Zoxide for never typing a full directory path again. Eza for actually being able to read ls output.

Install those three, use them for a week, then come back for the rest.

The terminal cockpit is still incomplete. Nobody has built a good real-time diff viewer that updates as an AI agent writes. Session replay barely exists. Multi-agent coordination across terminals remains a manual problem.

But the developers running AI agents across five VMs and 10 terminal windows already know something the rest of the industry is about to learn: the bottleneck is not the agent. It is the pilot's instruments.

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Marcus Schuler

San Francisco

Editor-in-Chief and founder of Implicator.ai. Former ARD correspondent and senior broadcast journalist with 10+ years covering tech. Writes daily briefings on policy and market developments. Based in San Francisco. E-mail: [email protected]