Antigravity Context Window: What Counts and What Persists

The Antigravity context window is the working space available to the selected model for your conversation and task. There is no useful single capacity to assume for every Antigravity model and interface. Check the model, inspect the session, and distinguish that active space from saved project files and account usage allowances.

A tool such as fenbs can keep the project's decisions and next steps outside that session. You can then carry a concise, reviewed brief into the next conversation. This matters when a coding task continues through several attempts, a model change, or a new session.

Why does the selected model matter?

Antigravity is an application environment rather than one fixed model. Google's model selection documentation↗ (opens in a new tab) describes a choice of reasoning models and notes that availability differs by product and account. Use the model name shown in your conversation, then consult that model's official specification when you need its capacity.

Also record whether you are using the app, CLI, or IDE. CLI means the command-line interface you use in a terminal; IDE means the editor environment. A command documented for one surface should not be assumed to work in another. The application may also reserve working space for its own instructions and tools.

For example, a developer comparing two sessions should record the model and interface alongside the result. Otherwise, a change in behavior may be blamed on the prompt when the setup changed. The AI context window introduction explains capacity in general; here the important extra step is identifying the actual Antigravity setup.

How can you see what the session is using?

In Antigravity CLI, the documented context usage panel↗ (opens in a new tab) opens with the context command. It breaks usage into categories such as messages, responses, tool activity, system overhead, and loaded customizations. That is more informative than counting the words you typed yourself.

/context

Tokens are the small pieces of content a model processes. A short request to inspect a repository can produce many more tokens through file reads and command output. Looking at the category breakdown helps you tell whether the session grew because of conversation, loaded instructions, or work the assistant performed.

1. Note the selected model and the current task before inspecting usage.
2. In CLI, open the context panel and identify the largest categories.
3. Compare the breakdown after one meaningful operation, such as reading a directory or running a check.
4. Decide what the next task actually needs before adding another document or a large output.

Use the corresponding documented controls when working in another Antigravity interface. Do not treat the CLI command as a universal button or assume the same display exists everywhere. For practical context selection in another editor, see context engineering in Cursor.

Are usage allowances another kind of context limit?

They answer a different question. Context concerns the material available for a response. Usage concerns how much work your account can request. Google's plans documentation↗ (opens in a new tab) explains that rate limits and model availability depend on the account, and that task complexity can affect how much quota work consumes.

Read the actual notification. If a model allowance is exhausted, deleting paragraphs may not restore access. If the active task contains excessive material, waiting for an allowance refresh does not remove that material. Save the wording and identify the kind of limit before changing anything.

A hypothetical design-system update illustrates the distinction. One session may contain only a narrow task but perform many operations, while another holds a large discussion and does little work. Visible chat length alone cannot tell you which allowance remains or how much active context the next response will need.

What survives when older turns are summarized?

The CLI documentation describes automatic compaction, which replaces older conversation turns with checkpoint summaries as the session grows. Its context panel also displays checkpoint information. Treat a summary as a compressed account of earlier work rather than a guarantee that every earlier detail remains equally available.

Before relying on an older constraint, ask the assistant to identify its current source. An accepted design decision should point to the approved requirement; an attempted fix should point to the resulting code and checks. If the answer depends on exact wording, provide the relevant source again instead of asking the assistant to reconstruct it.

Keep decisions, completed checks, and remaining uncertainty in a separate record that a person can review. That is the role of Where we left off in fenbs: preserving the handoff you intend to keep, regardless of how an application compresses its own conversation.

Why is an accessible file not the same as active context?

A file can exist in the workspace without being included in the current response. Similarly, reading one source does not establish that every relevant file was inspected. Ask for the paths and sections used when an answer depends on project material, and verify them against the actual task.

Suppose an assistant changes a form using an old requirements file. A newer approval elsewhere in the workspace will not help unless the current workflow finds and applies it. Identify the current requirement at the start, label older alternatives as background, and keep the plan focused on the affected behavior.

Avoid reopening the whole repository merely to prove that context exists. Give the assistant a clear question and the source locations likely to answer it. Broader context window management covers how to organize that selection as work grows; the immediate check is whether this response has the material this task requires.

How to do this with fenbs?

1. Create a free account and add a project for the work you are doing in Antigravity.
2. Add the active task, its plan, and the known remaining check. Record the person's approved choices in Decisions and rules.
3. Before the Antigravity session, review the project in the fenbs web app and copy the short, relevant goal, rules, and next step into the conversation.
4. After the session, update the task and Where we left off with what changed, what was verified, and what remains. Keep any unresolved approval clearly open.

fenbs does not provide a dedicated Antigravity setup guide or import its conversations. Use the web app for this manual handoff, or follow a supported assistant guide on Integrations. fenbs is not the right fit if your only need is a larger context allocation or a live usage meter.

What should you check before continuing tomorrow?

Read the saved handoff and confirm that the files still match it. Another person may have changed the code after the session ended. Ask the assistant to state the current requirement and first check before it makes further changes. Correct discrepancies while the task is still small.

Keep the next starting point precise: the form change is implemented, delivery is untested, and a person still needs to approve the copy. That is more useful than saying the session went well. The context engineering hub connects these choices to other ways of supplying the right information at the right time.