Claude Code vs Codex vs Gemini CLI: pick a daily driver, not a winner
Every comparison of the three big terminal agents ends the same way: a benchmark, a crown, and a comment thread already disputing it. Then a model update ships and the crown moves. If you have switched daily drivers twice this year and felt behind both times, that is not you failing to keep up. That is the leaderboard doing what leaderboards do.
So this comparison starts from a different question. Models leapfrog every quarter; the tools around them mostly do not. When you choose between Claude Code, Codex CLI and Gemini CLI, the durable choice is everything except the model: the harness, the openness, the subscription it rides on, and what it costs to change your mind later. Compare those parts and the answer stops flipping every three weeks.
What you are actually choosing
All three agents have converged on the same core loop: read the repo, plan a change, edit files, run tests, repeat. All three speak MCP to reach external tools. On a well-scoped task with clear acceptance criteria, all three will usually get there.
What differs is the layer you live in all day. The harness decides how work gets briefed, gated and reviewed, and that shapes your week far more than a two-point benchmark gap. Routing individual tasks to individual models is a separate decision; this post is about the tool you stand in while you make it.
Claude Code: the deepest harness
Claude Code has accumulated the richest workflow surface of the three: plan mode gates risky work behind an approval, hooks enforce house rules mechanically, subagents fan work out, skills load project knowledge on demand. The official docs read less like a manual and more like a workflow catalog at this point. The client is proprietary, and the deeper features reward the time you put into configuring them.
Choose it as your daily driver if you customize your tools. The ceiling is the highest here; so is the share of it most people leave unused.
Codex CLI: open source, sandbox first
Codex CLI's identity is trust through structure: an open-source client you can read, sandboxed execution as the default posture, and approval modes that turn "how much can this thing do on its own" into an explicit setting instead of a vibe. It rides the ChatGPT subscription a lot of developers already pay for, which makes it the cheapest second engine to try (docs).
Choose it as your daily driver if you want conservative defaults and an agent whose blast radius is a setting you review, not a surprise.
Gemini CLI: context and reach
Gemini CLI is also open source, and its headline advantage is room: context windows roomy enough to hold a large slice of a codebase in one session, which changes how exploration and repo-wide questions feel. Its access terms have shifted more than once, so check the current ones before you plan around a free allowance.
Choose it as your daily driver for big-codebase exploration and breadth-first work, where "just read all of it" is a real strategy.
The switching tax is lower than it looks
Here is what the winner-picking framing misses: the ecosystem has been quietly standardizing. MCP means your tool integrations move with you. An AGENTS.md file means your repo briefing moves with you. If your task briefs live somewhere outside the chat scrollback, they move with you too.
Which means the real lock-in is not the tool. It is keeping your workflow inside one tool's chat history. Externalize the briefs, the repo rules and the review checklist, and switching agents becomes an afternoon, not a migration.
Where tool loyalty gets expensive
The honest section, because every strategy here has a bill:
- Marrying one tool puts your whole pipeline behind one vendor's outages, rate limits and pricing changes. An outage hurts more when every task in flight depends on the same provider.
- Chasing the leaderboard costs more than it returns. Every switch resets muscle memory, config, and the small tricks that made you fast. A two-point benchmark win does not buy that back.
- Running all three without structure is its own failure mode: three auth states, three sets of quirks, tasks scattered across terminals with no record of which engine did what. A second engine only pays off once tasks are scoped and written down, so they can be routed instead of re-explained.
And if you only hand an agent a few tasks a week, one subscription is plenty. The split-stack advice is for people with more queued work than one engine clears.
One desk for all three engines
The reason most developers never route between agents is friction, and that friction is the problem SanuDesk exists to remove. It is a desktop app that tiles your Claude Code, Codex and Gemini sessions into one grid: one window, every engine, each session on its own task. The Kanban board does the dispatching: write the task as a card, deploy it to whichever engine fits, and when the agent finishes, the card parks itself in a review lane with a note on what changed and how to test it. Recurring work becomes a Loop that runs on a schedule and journals every run.
It is bring-your-own-model by design: your existing subscriptions do the work, nothing is metered twice, and there is no house engine we steer you toward. The grid and the board are in the free plan (details on pricing), so a two-engine week costs nothing but the accounts you already have.
Run the one-week experiment
Keep your current daily driver. Pick five scoped, mechanical tasks from this week's list and send them to a second engine: same brief, no extra coaching. At the end of the week, read the diffs and note where each engine surprised you, in either direction. You will learn more about which agent fits your repo than any benchmark thread can tell you, because the benchmark was not run on your codebase.
Download SanuDesk free to put every engine on one desk, or see how the grid, the board and Loops fit together on the features page.