AI Coding & Development · Coding & Development
Google Antigravity: Features, Pricing & Evaluation
Developed by Google
Agentic development platform for managing coding tasks across projects, an IDE and a terminal workflow.
Research summary, not a verified hands-on test. Pricing and features can change; confirm current details with the provider.
Quick facts
Freemium
AI Coding & Development
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AI Tool
What to know before trying Google Antigravity
Google Antigravity provides agent-based development tools, including an IDE and terminal interface. Its product page describes managing multiple local agents and working across projects. Access and usage limits depend on the plan. Treat an agent’s completed task as a proposed change that needs review, not a guarantee of working software.
Who this exercise is for
Developers evaluating a supervised coding workflow across a small project.
A practical test for Google Antigravity
This is a suggested evaluation exercise, not a report of a completed test. Use it to gather your own evidence before choosing a tool.
Product information checked on 20 September 2026. Features and plan availability can change.
Sample task
Use a disposable repository containing a small form with a known validation bug. Write the expected behaviour and one failing example first. Ask the agent to propose a plan, implement only the correction and describe how it verified the change.
What to inspect
Inspect every changed file and run the original failing example. Check that validation still works for empty input and normal values. Look for unrelated dependency upgrades, changes to configuration and tests weakened to make the result pass.
How to decide
Measure planning, review and repair time together. Compare with making the same correction manually. Choose a workflow whose changes you can explain and revert, and check the available usage allowance before relying on it for a deadline.
Official sources
Check Google Antigravity's official product information for current features, limits and terms.
Evaluate it for your workflow
Try a representative task with non-sensitive sample inputs. Record errors, revision time and whether the output exports correctly. Compare the full workflow against your current method before committing to a plan. Use our evaluation worksheet to record the result.
Topics
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