AI‑powered IDEs are booming in 2025. Among the newest entrants is Google Antigravity — billed as an “agent‑first” IDE powered by Gemini 3 Pro. It promises multi‑agent workflows, built‑in browser/terminal automation, and a free public‑preview pricing model.
But the early buzz comes with growing pains: users and security researchers have reported alarming issues — from severe bugs and stability problems to real data loss.
In this article, I provide a deep, balanced review of Antigravity — covering its cost, core features, limitations & safety risks, and a head‑to‑head comparison with Cursor. My goal: help you decide whether Antigravity deserves a spot in your dev workflow now, or whether you should wait till it matures.
Part 1: What Is Google Antigravity (in 2025)?
Google describes Antigravity as the “next‑generation agent‑first IDE.” It’s more than a code‑completion tool: agents have direct control of your editor, terminal, and even browser. They can write code, run shell commands, interact with web pages, perform tests and deployments — potentially automating entire full‑stack workflows.
Some standout features:
Multi‑agent orchestration with an “Agent Manager” — you can spawn multiple agents to work simultaneously on different tasks.
Built‑in browser automation + terminal integration — no need for external test frameworks or manual browser control.
“Artifacts” system — agents produce structured output: task plans, screenshots, logs, and browser recordings to verify changes before acceptance.
Antigravity supports major desktop OS: Windows, macOS (Intel + Apple Silicon), and Linux.
At present, Antigravity is in public preview — meaning it is “free to use” with generous limits.
Part 2: Pricing & Cost: What It Costs (Now) and What It Might Cost
Free for Preview — But Not Guaranteed Forever
During the public preview, Antigravity is free for individual developers: no subscription fee, access to Gemini 3 Pro (plus other models), and “unlimited tab completions / command requests” according to official documentation.
This makes it incredibly attractive compared to paid AI‑IDEs.
But There Are Warnings for Power Users
Some early reviews already suspect that “free forever” may not be realistic. Once usage scales up or team/enterprise features are required, Google is likely to roll out paid tiers.
For heavy users, running complex agent tasks many hours per week could potentially consume massive inference resources (Gemini 3 Pro). Anecdotally, some developers on Reddit claim to hit “rate limits” quickly when performing intensive workflows.
Hidden Costs: Stability, Time, and Risk
Even if nominal cost is zero now, there are non‑monetary costs to consider:
Time spent reviewing AI‑generated code, debugging and patching mistakes — AI is powerful but error‑prone.
Potential data loss, security risks, or debugging overhead if agents misinterpret commands or perform destructive operations.
Bottom line on cost: Antigravity is free now, which is a huge strength — but treat it as an evaluation‑phase tool. Don’t assume “free forever,” especially if you plan to rely on it for serious projects.
Part 3: What Are the Main Limitations & Risks of Antigravity?
Antigravity brings powerful automation, but that automation comes with powerful risks. Several major problems have already surfaced.
Stability, Bugs, and Unpredictable Behavior
Users report frequent crashes, terminal freezes, agent timeouts, or agents getting stuck in “output loops.”
On some OS (especially certain Linux distributions), users claim bootstrapping fails or agents cannot activate properly.
Because the tool is so new, the “manager view + multi‑agent + browser/terminal automation” stack is still fragile and not comparable to mature IDEs.
Quota / Rate‑Limit & Uncertain Future Pricing
Even under “generous” limits, heavy users report hitting rate limits within 20–30 minutes of intense agent tasks.
There is no clear paid plan yet: team / enterprise tiers are “coming soon,” and no published price list is available.
As one analysis notes — given the high cost of large‑model inference, no one should assume free model access will remain forever.
Security & Data Risks
Researchers at PromptArmor (and public media) warn of serious security flaws: agents can execute arbitrary commands, bypass file protections, read sensitive files (.env, config, tokens), and exfiltrate data — especially when given broad permissions or in “trusted workspace” mode.
In one high-profile case, a user’s entire D: drive was deleted after asking Antigravity to “clear cache” — the AI misinterpreted the instruction and issued a system‑level delete command with no confirmation. The deletion was irreversible.
For teams or enterprise use, Antigravity currently lacks mature security certifications (e.g. SOC 2, compliance audits), which may be a blocker for sensitive or regulated projects.
Ecosystem Lock‑in & Model Dependence
Antigravity heavily leverages Gemini / Google infrastructure — some third‑party reviews argue that it enforces “Google ecosystem lock-in,” limiting flexibility.
If Google decides to change pricing, implement strict rate limits, or discontinue free preview — users might need to migrate projects, which could be painful.
Part 4: How Does Antigravity Compare to Cursor (2025)?
To understand whether Antigravity is “the future” or “still too early,” it helps to compare it with an alternative: Cursor — a more established AI‑coding environment.
What Cursor Does Well
Cursor offers a mature, stable coding environment based on a familiar VS‑Code‑style interface, with cloud background agents, bug‑fixing assistants, and a more conservative automation model.
Its pricing is transparent: for many users, a predictable monthly subscription ($20–40/month) for pro or business plans.
Less risk: because Cursor doesn’t give AI agents full control over terminal + browser + OS by default, the chance of catastrophic data loss or runaway automation is lower.
Where Antigravity Tries to Outperform Cursor
Multi‑agent orchestration with “Manager View” — you can spawn multiple agents for parallel tasks (front-end, backend, tests, deployment). Cursor’s agent mode is more constrained.
Built‑in browser automation + ability to interact with web UI + record artifacts — for full‑stack or end‑to‑end testing, this is a differentiator.
Access to powerful Gemini 3 Pro (and other models) via a free preview — for developers wanting the latest LLM power without immediate cost.
The Verdict: Not a Clear Winner Yet
Antigravity shows immense potential — if you value agent‑first workflows, automation, browser integration and don’t mind current instability or risk, it could be a game changer.
But for reliability, stability, predictability, and production‑ready use — Cursor remains safer, more predictable.
Part 5: Should You Use Antigravity Now? Use Cases & Recommendations
Given all the above, here’s a breakdown of when it makes sense to use Antigravity — and when to hold off.
Good Candidates for Antigravity
You are prototyping quickly, building throwaway projects, proofs-of-concept — and you want to iterate fast.
You work in small teams or solo projects where you can afford manual oversight and frequent backups.
You are exploring full‑stack / end‑to‑end automation (front end + backend + deployment + testing), appreciate browser/terminal automation, and don’t mind occasional bugs.
You want to experiment with agent‑based workflows, but are comfortable treating Antigravity as “beta / early-access.”
Not Recommended (Yet)
Enterprise projects with sensitive data, regulatory compliance, or high security requirements.
Projects with long-term maintenance expectations — given rate‑limit uncertainty and potential future paid tiers.
Developers who require maximum stability, predictable performance, and minimal manual overhead.
Part 6: How to Use Antigravity Safely (A Short Guide)
If you choose to try Antigravity now — here are some best practices to reduce risk:
Always keep regular backups and version control (Git, remote repo).
Don’t rely on “auto‑approve”: review every agent change manually.
Avoid using “fully automated / turbo” modes for critical code.
Store credentials / secrets / sensitive config outside of agent‑accessible workspace.
Limit agent permissions (no root access, no system-wide file access) — treat it like a sandbox.
Consider running it inside a container / VM to isolate from your main OS.
For production or collaborative use — wait until the product stabilizes and offers enterprise‑grade controls.
Bonus: Video Review & Real‑World Feedback
This video provides a real-world head-to-head of Antigravity vs Cursor — highlighting strengths (agent orchestration, GUI automation) and weaknesses (rate limits, instability, workflow friction).
Additionally, recent coverage by media outlets underscores why many developers approach Antigravity with caution.
Conclusion: Antigravity Is Promising — But Use With Eyes Wide Open
Google Antigravity is a bold bet on what programming might become: not just writing code, but orchestrating intelligent agents to build, test, and deploy applications. Its features — multi-agent coordination, browser/terminal automation, artifact logging — are genuinely novel and powerful.
Yet the platform remains immature in late 2025. Stability issues, unclear long-term pricing, and real security/data‑loss incidents mean it’s best treated as a beta‑era tool: great for experimentation, prototyping, and personal projects — but risky for mission‑critical production environments.
If you’re curious and willing to manage backups, reviews, and oversight — Antigravity is absolutely worth a try. Just don’t treat it as a silver bullet.
FAQs
Q1: What are the main limitations or risks of using Antigravity right now? A: There are several important limitations and risks, including:
Stability issues & bugs: Users report that agents sometimes freeze, tasks stall mid‑run, or editor responsiveness degrades during long sessions.
Rate limits / Quotas: Although there is a “generous rate limit”, heavy workflows may hit quotas quickly — making Antigravity less suitable for long, intensive coding sessions.
Security / Privacy concerns: Researchers warn that Antigravity agents can execute terminal commands automatically and may expose sensitive data (credentials, secrets, config files), especially if workspace permissions are loose or “trusted workspace” is enabled.
Potential for catastrophic data loss: In at least one public incident, a user asked an agent to “clear cache,” and the IDE mistakenly deleted an entire drive (D:), not just project files.
Uncertain long-term pricing and enterprise readiness: There is no firm “team / enterprise” plan yet, so organizations depending on long-term stability may face unknown costs or limitations.
Because of these, many reviews recommend treating Antigravity as an experimental/personal tool — not yet as a production‑ready IDE for mission‑critical work.
Q2: How does Antigravity compare to alternative AI‑IDEs (e.g. Cursor)? A: Compared to Cursor and some other AI‑coding platforms, Antigravity has unique strengths — but also tradeoffs:
Free (during preview) with access to powerful models (Gemini 3 Pro, Claude, GPT‑OSS), which lowers the barrier to entry.
Tradeoffs / Weaknesses (vs Cursor):
Less stable/reliable: Antigravity is still new, with bugs, freezes, rate‑limit disruptions — Cursor tends to be more stable and predictable.
Higher risk: Because Antigravity gives agents terminal/browser/system‑level access, there’s more potential for data loss or security issues — Cursor’s design is more conservative.
Not ideal for production or sensitive codebases yet — best suited for experimentation, prototyping. Many reviews categorize it as “too early / unstable” for enterprise‑grade work.
If you value automation power and are comfortable with risk and oversight — Antigravity holds promise. If you value stability and predictability, Cursor (or similar mature tools) remains safer for now.
Q3: What are “rate limits” or “quotas” in Antigravity, and how do they affect actual use? A: Antigravity currently enforces usage quotas — according to a recent review, quotas are refreshed every 5 hours. For light or moderate use (small projects, occasional coding), this may not be an issue. But for heavier workloads — large codebases, frequent multi-agent tasks, long-running sessions — developers report getting cut off mid-task. Because quotas are not strictly documented, and future paid tiers may revise limits, relying on Antigravity for heavy production work now carries uncertainty.
Q4: Is my code/data safe with Antigravity? What about secrets and private configs? A: Not necessarily — there are known security vulnerabilities. Security researchers have warned that agents can execute terminal commands, bypass .gitignore protections, read sensitive files like .env, and exfiltrate data — especially if untrusted or malicious repositories are opened. Even after using Antigravity’s cleanup tools or uninstalling the IDE, compromised “trusted workspaces” may harbor persistent backdoors. Conclusion: avoid storing secrets/configs directly in agent‑accessible workspace; treat all code repositories as potentially untrusted unless audited by human reviewers.
Q5: Should I use Antigravity for professional or production projects in 2025? A: Most experts advise no — at least not yet. Because of stability issues, rate limits, security risks, and uncertain long-term pricing, Antigravity is best viewed as an experimental / early-access tool rather than a production-ready environment. It’s better suited for prototyping, personal projects, learning, or early-stage development — ideally with strict safeguards, frequent backups, and manual review pipelines.
If your project involves sensitive data, regulatory compliance, long-term maintenance, or enterprise-level reliability, consider waiting until Antigravity stabilizes or choose more mature IDE / AI‑coding tools.
