Looking for a Cursor alternative that runs in your terminal?

First: are you actually replacing the wrong thing?#

The most common mistake in this comparison is trying to replace the entire IDE. You do not need to. Nobody wants to give up autocomplete, and no terminal agent will make you want to. The switch that works is narrower:

• Keep the editor for typing, navigating and reviewing a diff you have already seen.
• Move the agent to the terminal for anything that touches more than one file, needs a test run, or should be repeatable.

That framing also makes the cost argument honest. You are not replacing a $20 seat, you are removing the tab where work that should have been scripted was done by hand.

The four differences that matter in practice#

1. Where the tool runs

An AI IDE is an application with a model backend. A local CLI agent is a process on your machine with a model client. Everything downstream of that difference matters: the agent works over SSH, works in CI, can be driven by a script, and its entire permission surface is code you can read. The IDE gives you a UI you can trust; the agent gives you a boundary you can verify.

2. Model choice

This is where the economics actually diverge. A subscription pins you to one model lineup on one provider’s terms. A bring-your-own-key agent lets you default to a free model and escalate per task:

# the default costs nothing
sentinel ask "which files still import the old client?"

# escalate only where the reasoning is hard
sentinel ask -m claude-sonnet-4 "why does the lock deadlock under concurrency?"

With twelve providers behind one client (plus Ollama and LM Studio for fully local runs) changing provider is a command, not a migration.

3. Repeatability

A prompt typed into a chat box is not reproducible. A prompt in a shell script is. The moment a task becomes “run this every time the nightly suite fails”, it stops being an IDE question and becomes a CLI question.

# the same discipline, unattended
sentinel watch "keep the sync green" \
  -t "command:npm test" -t git --goal "npm test exits 0"

# steer it from another terminal mid-run
sentinel steer "also check the retry path"

4. What the tool refuses to do

A permission model you can enumerate is worth more than a safety feature you have to trust. Concretely, an agent worth adopting should be able to show you: which tools each mode allows, that paths are canonicalised before they are compared to the project root, that secrets and catastrophic commands are refused in every mode, and that migrations, CI workflows, lockfiles, auth and infrastructure edits get one extra prompt.

The full threat model behind that list is in designing file permissions for an AI coding agent.

Side by side#

Vendor features change monthly; the shape of the trade does not. Verify anything time-sensitive against each product’s own documentation.

Who should not make the move#

Being useful means disqualifying people, so plainly: if you need a managed platform with SSO, role-based access and an audit log your security team reviews, a local agent is the wrong tool and no amount of tuning will fix it. If your whole team lives inside one editor and nobody scripts, you will lose time before you gain any. And if you are on managed infrastructure where an API key on a laptop is a policy violation, that decision was made before you installed anything.

None of those are reasons the CLI option is bad. They are reasons it is a different product, aimed at a different engineer.

A two-hour migration#

1. Install and run one real task. Not a toy. The same bug you would have opened a chat window for. Installation guide.
2. Turn the guard rails on before you need them. sentinel risk to see what is approved, and start in PLAN mode so the first week cannot write anything.
3. Set a budget. It is the difference between an experiment and a surprise on the invoice.
4. Script the second occurrence. The first time you do something twice, put it in a shell function. That is the point at which the tool starts paying for itself.

Frequently asked questions#