Mastering Antigravity: Practical Workflows and Tool Execution for Developers

Unlocking the Full Potential of a Tool-Equipped Agent

Most developers think of AI coding assistants as simple text generators. While asking an LLM to 'write a bubble sort algorithm' is a neat demo, it is not how real software engineering is done. In a professional workflow, developers work with existing codebases, manage dependencies, run test suites, and orchestrate complex build configurations.

Antigravity is designed to handle this reality by exposing its capabilities as discrete 'skills' (APIs and tools). Rather than just outputting text, Antigravity can interact directly with your operating system, filesystem, and external resources.

This guide explores these skills in detail, providing concrete examples of how to prompt the agent to use them, how safety gates keep you in control, and how to combine these capabilities to automate repetitive development tasks.

Skill 1: Precision File Editing without Code Bloat

One of the most common issues with standard chat assistants is code dumping. If you want to change one line of code in a 500-line file, they will often rewrite the entire file, which is slow, expensive, and risks introducing unrelated errors. Antigravity solves this with two specialized file editing skills: single block replacement and multi-block replacement.

The single-block replacement skill (`replace_file_content`) allows the agent to locate a specific contiguous range of lines and swap it with new code. This is perfect for changing a function implementation or correcting a bug. The multi-block replacement skill (`multi_replace_file_content`) goes a step further, allowing the agent to execute non-contiguous changes (like adding an import at the top of a file, adding an endpoint mapping in the middle, and defining a new helper function at the bottom) in a single operation.

To get the best results, you don't need to specify the exact tool name. Simply structure your request with clear instructions on which sections to modify, and let Antigravity select the most efficient file edit skill automatically.

{
  "TargetFile": "/path/to/app.ts",
  "ReplacementChunks": [
    {
      "StartLine": 5,
      "EndLine": 8,
      "TargetContent": "import { original } from './utils';",
      "ReplacementContent": "import { original, updated } from './utils';"
    },
    {
      "StartLine": 45,
      "EndLine": 48,
      "TargetContent": "app.use(original);",
      "ReplacementContent": "app.use(original);\napp.use(updated);"
    }
  ]
}

Skill 2: Terminal Execution & Background Tasks

Writing code is only half the battle; developers must constantly verify that it works. Antigravity possesses a command execution skill (`run_command`) that allows it to execute terminal commands on your system. This skill supports starting developer servers, compiling binaries, and running linting utilities.

Crucially, commands do not run silently in the background without your knowledge. Any command proposed by the agent is routed through a confirmation gate, requiring your explicit approval before it executes. If the command runs for a long time (such as building a production bundle), the agent automatically shifts it to a background task.

You can manage these running background tasks using the task management skill. This allows you to check status, send keyboard inputs, or terminate processes that have timed out or run into infinite loops.

# The agent runs your test suite as a background task
npm run test:unit

# You can view the real-time logs or cancel the execution
# via the agent workbench interface at any time.

Skill 3: Subagent Delegation for Parallel Operations

In complex projects, you often need to multitask. For instance, while you are writing code for a feature, you might want to search the web for API documentation or analyze a separate folder in your codebase for structural conventions.

Antigravity handles this through its subagent delegation skill (`invoke_subagent`). The main agent can spawn specialized, isolated subagents (like a 'Codebase Researcher' or a 'Documentation Crawler') to perform parallel operations. These subagents run concurrently, using their own prompts and context windows, and send structured messages back to the main agent when they finish.

This prevents your main conversation from becoming cluttered with long search results or irrelevant documentation, preserving the quality of the primary code generation thread.

Skill 4: Asynchronous Background Scheduling

For long-running tasks or cron-style operations, Antigravity uses a scheduling skill (`schedule`). This skill allows the agent to set one-shot timers or recurring cron jobs that trigger alerts in the background.

For example, if you ask the agent to run a build that you expect to take 5 minutes, it can set a 300-second timer to wake itself up and check the status of the build task, allowing you to walk away from your desk. Alternatively, you can configure a recurring cron schedule to run tests or check API health every 15 minutes, with the agent alerting you if a failure occurs.

This background scheduling capability makes Antigravity much more than a passive responder—it becomes an active operational monitor for your dev environment.

{
  "DurationSeconds": "300",
  "Prompt": "Check if the Next.js production build has completed successfully"
}

Skill 5: Web Search and Mockup Asset Generation

Modern development often requires looking outside the local codebase. Antigravity's web search skill (`search_web`) allows it to fetch up-to-date documentation, inspect release notes, or read public blog posts to learn how a new library works.

Additionally, when building user interfaces, developers often need placeholders, logos, or design illustrations. Antigravity includes an image generation skill (`generate_image`) that can create custom UI mockups, icons, and illustrations on demand, saving you from using boring generic placeholders in your application.

By combining search and asset generation, the agent can draft complete frontend interfaces with actual design resources and accurate API mappings.

Best Practices for Prompting Tool-Equipped Agents

To get the absolute best results from Antigravity, structure your prompts to take advantage of these skills. Rather than saying 'fix the bug,' try telling the agent 'Search for where UserAuth is defined, read the file, run the local test command to reproduce, and then modify the file to return an error instead of throwing.'

By providing a clear outline of the steps and tools you expect the agent to use, you help it construct a precise implementation plan and select the right skills. This collaborative approach minimizes iteration cycles and ensures that the agent works exactly within your established technical boundaries.