AI tool · Coding with AI
Antigravity IDE (Google)
AI toolCoding with AI
A development environment from Google where the main work is done by AI (an agent), not a person.
What it is
Complex app logic and its design.
Google Antigravity is a development environment (IDE) built on the idea that the main work is done by artificial intelligence, not a person. Tools such as GitHub Copilot or Cursor work as "copilots" that complete your code. Antigravity turns this around: the AI agent is an independent actor that can perceive, plan, carry out and check complex development tasks with minimal human involvement.
What it does
What it does
- Agent approach: the AI agent perceives, plans, carries out and verifies tasks on its own
- Mission Control: managing several agents that work at the same time in the background
- Built-in Gemini 3 Pro, which keeps up to 1 million tokens (pieces of text) in memory at once
- Control across several environments (Cross-Surface Control): the agent works in the editor, the command line and the browser
- Plans and checking outputs (Plan Artifacts) that verify a task before and after it is carried out
Good for
- Complex app logic and its design
- Whole projects handed to the agent from start to finish
- Changes and migrations between technologies (frameworks) across the whole codebase
- Parallel development with several agents at once
Not for
- A team that wants to write code by hand: the role shifts from writer to architect and manager of agents
Our verdict
We use it for complex app logic and its design. It excels at independent work on whole projects, where the developer changes from a "code writer" into an "architect" who directs digital agents.
Why we use it
We use Antigravity for complex app logic and its design. It excels at independent work on whole projects, where the AI agent plans, runs and verifies steps without constant human supervision. It suits projects that need long concentration and complex design, and where the developer's role shifts from a "code writer" to an "architect" or "manager" who directs digital agents.
Use cases
Use cases
Architecture design
Creating whole projects with a complex structure, where the agent plans the design itself, sets up files and builds the individual parts.
Changing and moving old code
Independent changes to older code and migration between technologies, using the long context window of Gemini 3 Pro to analyse the whole codebase.
Whole projects from start to finish
Delegating whole projects (e.g. 'Create a fully working snake game in Python') with automatic planning, implementation and testing.
Parallel development
Managing several agents that work at the same time on different parts of a project, so complex apps are built faster.
Coding with AI
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