Hands-on agentic development with Google’s Antigravity IDE
Google Antigravity IDE is one of the most sophisticated integrated development environments available today. In contrast to Antigravity 2.0, which focuses exclusively on managing agents, or Antigravity CLI, which is a way to interact with agents from the command line, Antigravity IDE covers the spectrum from a basic co…
Google Antigravity IDE is one of the most sophisticated integrated development environments available today. In contrast to Antigravity 2.0, which focuses exclusively on managing agents, or Antigravity CLI, which is a way to interact with agents from the command line, Antigravity IDE covers the spectrum from a basic co…
Antigravity IDE uses Google’s Gemini models, and optionally Claude models. And it boasts several state-of-the-art features for agentic software development:
Multi-agent: Antigravity IDE can spawn and orchestrate multiple agents working in parallel.
Planning: Antigravity IDE will generate task lists and detailed implementation plans for approval and modification.
Project awareness: Antigravity IDE understands your project’s structure and can run terminal commands and respond to their output.
Interactivity: Antigravity IDE can run web searches and open a Chrome browser window to test a web app via the UI.
In context
- Topic: Desarrollo con IA — Copilotos y agentes en el ciclo de desarrollo de software.
- Source: InfoWorld
- Published: 12/10/2026
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Why it matters
When a tool appears promising faster development, the useful question is not how much code it generates but how much work it generates downstream. Tests, review, security, technical debt, incidents: that is where the promise gets paid or charged.
I distinguish between accelerating an experienced developer and accelerating someone just starting. In the first case the tool multiplies judgement; in the second it multiplies the lack of it. Adoption policy has to acknowledge that difference or the codebase fills with plausible, wrong code.
What usually goes wrong
What usually goes wrong is that review does not grow at the same rate as production. The team generates twice as much and still has the same two people reviewing, who get tired, start approving faster, and three months later quality has dropped without any indicator showing it yet.
What to watch
- What happens to tests — generating code without generating tests only moves the problem forward.
- Where the source code travels when the assistant is used, and what the contract says about it.
- The effect on people newly joining the team, which is where judgement erodes fastest.
How I read this entry
I would treat it as a process change, not a tool change. The assistant shifts who does what inside the team, and that has to be discussed with people beforehand, not discovered in the retrospective once somebody already felt replaced.
This entry is an excerpt from the original source, selected by the site radar. The commentary above is the site's own and does not belong to the cited publisher.
Comments
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Living through this in your own team?
Open the chat and tell me how you're handling it. I'm interested in comparing notes.
