When Google launched Antigravity in November 2025, it was on the premise that developers could hand an entire coding task The post Google’s AI coding agent just escaped its own IDE appeared first on The New Stack.
When Google launched Antigravity in November 2025, it was on the premise that developers could hand an entire coding task The post Google’s AI coding agent just escaped its own IDE appeared first on The New Stack.
Esta entrada es un extracto. La nota completa está en The New Stack.
Why it matters
AI applied to development moved the bottleneck. Writing code stopped being the slow part; now the slow part is reviewing, understanding and maintaining what was written. Any team adopting these tools without adjusting review gets faster in week one and slower by month three.
My yardstick is simple: did the time from request to working-in-production improve? If writing got faster but a change still takes three weeks to ship, the bottleneck was somewhere else and the tool never touched it.
What usually goes wrong
Where I see most stumbles is in the conversation with people. The tool gets announced as a productivity improvement without saying what is expected of each person, and everyone fills the silence with their own fear. Adoption does not stall on the technology, it stalls on what was left unsaid.
What to watch
- The effect on people newly joining the team, which is where judgement erodes fastest.
- Whether total time to production drops or only writing time, which is not the same thing.
- What happens to code review: if the assistant produces more, somebody has to read more.
How I read this entry
If I were rolling this out, I would do it with written rules: what can be generated, what always gets human eyes, and what is off limits to an assistant — typically anything handling money, identity or personal data. Rules give freedom, they do not remove it.
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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.
