The LLM Tool Universe

This document surveys LLM tools through the lens of the interaction pattern.

The lens asks four questions about a tool:

• Sync or async?
• How much human attention does it demand?
• What is the review surface?
• How does it integrate with git?

Terminal Code Agents

Aider is a terminal code agent that edits files and commits with git.

Aider is git-native.

Every Aider change is a diff to review.

Aider refreshes its repo map and warns about externally edited files.

Aider mitigates stale context but does not isolate it.

Claude Code is a terminal agent with background modes.

Background agents run and notify on completion.

IDE-Integrated Agents

Cursor and GitHub Copilot embed agents in the editor.

Copilot has a background-agents pattern built on git worktrees.

Worktree Multiplexers

dmux runs parallel coding agents, each in its own worktree.

gwt runs AI coding sessions per worktree.

gtr is a git worktree runner.

rove runs coding agents on parallel tasks with isolated worktrees.

These tools exist because the worktree pattern is real practice.

Harness Environments

Agent harnesses orchestrate LLM work at scale.

Harnesses dispatch work to subagents and notify on completion.

Harnesses can serialize access so the human and the model never write concurrently.

The environment hosting this conversation is such a harness.

CI and PR-Based Agents

OpenHands and similar agents take an issue and produce a pull request.

The PR is the envelope.

The platform review and merge queue are the async mechanics.

Notebooks

Jupyter notebooks are a thinking medium.

Notebooks keep state, re-run cells, and mix text with results.

Notebooks have hidden state and noisy diffs.

Plain API and Scripting

The model API can be driven directly.

A queue of prompts can run as a batch job.

Results land in files for later review.

This is the email pattern with minimal tooling.

Mapping to This Project

Aider fits the review-surface pattern.

A worktree gives Aider isolation.

An episode file is the work order.

A record file is the outcome.

Sources

• June 2025 Coding Agent Report: evaluation of 15 coding agents. https://github.com/The-Focus-AI/june-2025-coding-agent-report
• ai-agent-benchmark: comparison of 80+ agents. https://github.com/murataslan1/ai-agent-benchmark
• Claude Code background agents. https://github.com/marc-shade/agentic-system-oss/blob/master/intelligent-agents/CLAUDE_CODE_BACKGROUND_AGENTS.md
• Background coding agents with git worktrees. https://crazyrouter.com/en/blog/background-coding-agents-without-lock-in-git-worktrees
• dmux. https://github.com/sterlingchapman/dmux
• gwt. https://github.com/slowestmonkey/gwt
• gtr. https://landscape.jimmysong.io/zh/projects/git-worktree-runner/
• rove. https://github.com/Sma1lboy/rove
• aider-desk worktree isolation docs. https://deepwiki.com/hotovo/aider-desk/2.5-git-worktrees-and-isolation
• Parallel AI coding context collisions. https://1devtool.com/blog/context-collisions-parallel-ai-coding
• OpenHands. https://github.com/OpenHands/OpenHands

Status

This document is a living survey.

Verify tool names and features before relying on them.