The practical answer

Start with one agent implementing a small task and the other reviewing it. Keep provider accounts separate, verify which folder each agent uses, and judge the result by the diff and checks.

Start with a task, rather than a model contest

You do not need to decide which coding agent is universally better before using two of them. Pick a concrete job: fix a reproducible bug, add a small feature, or explain an unfamiliar part of a repository. Give the first agent responsibility for implementation and the second responsibility for checking the result.

Make the review specific. “Look at the login changes and identify any input that still bypasses validation” is more useful than “Is this good?” A second model agreeing with the first is not evidence that a feature works. A reproduced bug, a focused test and an inspected diff are better evidence.

Keep installation and accounts explicit

Install each CLI through its provider's official instructions and sign in through that CLI. This article describes the workflow, rather than prescribing installer commands that can change. Confirm each tool launches successfully in your own terminal before introducing a workspace around it.

Check the active account and the current directory. A familiar-looking prompt does not prove that an agent is in the right repository or using the account you intended. When you use more than one account, keep each profile separate instead of copying credentials between them.

Towfu uses customers' own provider accounts. The Towfu subscription pays for the workspace; it does not include Claude, ChatGPT or another provider's model access. The pricing section explains that distinction. Towfu's installation help currently specifies 64-bit Windows 11.

Separate editing work; share the review target

If both agents will edit, give each a separate branch and working folder. Read the Git worktree guide for an example. Ask each agent to report its branch and changed files before it starts.

For a review-only agent, provide the exact committed change or diff to inspect. Ask it to avoid editing files while the implementation is still moving. If you use a second worktree for review, make sure it contains the candidate commit; an old checkout can produce a convincing review of the wrong code.

Useful pairings include an implementation agent with a regression-test reviewer, a documentation agent with a code reviewer, or an agent explaining an unfamiliar module while another tackles an independent bug. Two agents repeatedly rewriting the same file usually create an integration problem.

A review brief you can reuse

Review this change against the task's acceptance criteria.
Do not edit files yet.
Check edge cases, error handling and unexpected scope changes.
Identify missing tests with a concrete failing example.
For each finding, cite the file and explain the consequence.
Separate confirmed problems from questions that need a test.

Supply the original task and the actual diff along with this brief. Ask the implementation agent to address a confirmed finding, then check the updated result. Keep a human decision at the point where code is merged or deployed.

Use handoff notes when the session changes

An account limit or a change of tool can interrupt a task. Write down the objective, the branch, the files changed, the commands already run, and the next step. Include what failed. A new agent should inspect the current files before continuing.

Goal: prevent blank email addresses reaching the login request.
Branch: agent/login-validation
Changed: the form validator and its regression test.
Verified: the focused validator test passes.
Still needed: full project checks and a browser check.
Next step: inspect the diff, then test whitespace-only input.

A note gives another session context; it does not transfer a model's internal memory. Do not promise uninterrupted reasoning or assume a different account has identical conversation support. In Towfu, handover is a user choice: check the selected destination and review what the new session receives.

Know what the workspace can and cannot tell you

Usage readings help you choose when to start work, but an unavailable reading should remain unknown. Do not infer exact remaining tokens or costs from a quota percentage. A local workspace also does not make a cloud model offline: each CLI still connects to its provider.

Towfu adds no telemetry and brings terminals, session history and account usage into one window. Its privacy policy describes the boundaries. Start with two sessions and a small review cycle before adding more agents. The goal is a change you can explain and verify.