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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallIn one reported test, Gemini’s Antigravity workflow handled more of the Docker deployment automatically, while Claude’s Cowork run produced a to-do app with extra filters and themes. That makes Gemini the smoother choice for this particular build-and-deploy workflow—not proof that Gemini is generally smarter or better at building Docker apps.
What the comparison actually tested
Dibakar Ghosh’s August 30, 2026 article describes asking Claude and Gemini to build a polished, self-hostable to-do web app in the current directory. The same prompt requested source and configuration files, a README, localhost access, a check that the chosen host port was available, data that survived container restarts, and an actual Docker build and test.
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Ghosh characterizes the prompt as minimal and says both tools received it. The comparison therefore covers one task in two different desktop environments, not an isolated test of the underlying models.
Where Gemini’s workflow was smoother
Antigravity could perform terminal work
In Ghosh’s run, Gemini 3.1 Pro with high thinking ran in Google’s Antigravity. The environment could use a terminal, check whether a port was available, run the Docker deployment, and leave the app reachable at a localhost URL. The author’s central explanation for the smoother deployment was the harness: the environment could carry out the machine-level steps rather than leave them to the user.
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Cowork left Compose to the user
Claude’s run used Opus 5 with low thinking in the Claude desktop app’s Cowork mode. Cowork could access the filesystem, but in this setup it did not check ports or run the Docker Compose command. Ghosh selected port 8420, which he reports was free, then ran Compose manually.
That difference matters if “build a Docker app” means getting from a prompt to a running local container with as little intervention as possible. It does not, by itself, show a model-quality difference: terminal access and permissions determine which steps an agent can execute.
Rank #2
How the generated apps differed
| Reported result | Claude in Cowork | Gemini in Antigravity |
|---|---|---|
| Deployment steps in this run | Port chosen by the author; Compose run manually | Port checked and Docker deployment run by Antigravity |
| Reported app features | Additional active/done filters and light/dark themes | Add, complete, and delete tasks; no extra filters or themes reported |
| Reported implementation | Node’s built-in HTTP module, JSON-file storage, and a REST API | Express and SQLite |
| Persistence and access | Persistent tasks and localhost access reported | Task completion and localhost access reported; the source does not separately describe a restart test result |
These are Ghosh’s descriptions of the generated projects, not independent code audits. The reported implementation choices also do not establish that one app is more secure, scalable, or maintainable.
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1Fix the driver behind crashes, sound loss and screen glitches2Clear out junk files and repair common Windows errors3Scan for outdated or missing drivers - takes under a minuteWhich one should you choose for a Docker build?
- Choose a workflow like Antigravity’s for hands-off deployment when you want the agent to inspect the machine, check ports, run commands, and start the container. Confirm the permissions it has before letting it run terminal commands.
- Choose a workflow like Cowork’s when filesystem-based code generation is enough and you are comfortable checking the port and executing Compose yourself. In Ghosh’s example, Claude added features beyond the requested minimal scope.
- Judge the result against your own requirements by reviewing the Compose configuration, verifying persistence after a restart, and checking that the app is reachable on the intended localhost port. A successful run in one environment does not establish long-term reliability.
For someone who wants remote access rather than access only on the local machine, Ghosh mentions a private VPN as an optional route and names Tailscale as an example. The comparison does not test that service or evaluate remote-access setups.
Rank #3
What this test can—and cannot—tell you
The evidence supports a narrow conclusion: both tools reportedly produced working Dockerized apps for this one prompt, while Antigravity automated more of the deployment and Claude’s result included more interface features. The author reports Claude’s project took about 3–4 minutes; he gives no comparable measured time for Gemini, so this is not a timed head-to-head result.
There was no repeated trial, independent scoring rubric, or population-level benchmark in Ghosh’s account. Model names, thinking settings, and environment capabilities are those reported in August 2026 and may change. The comparison is useful for understanding how a tool’s permissions and terminal access shape the experience, but it cannot establish which model is smarter overall or predict production reliability.
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