"Which should I use — Antigravity, Cursor, or Bolt?" comes up constantly in developer communities. The honest answer is that the right choice depends entirely on what you're building and how you plan to make money from it.
Having used all three in production projects, the clearest thing I can say is that each tool has a distinct design philosophy, and choosing the wrong one costs both time and money. Here's a comparison built specifically around the monetization angle — because that's the question most comparisons ignore.
The Core Design Philosophy of Each Tool
Before any comparison table, understanding what each tool is trying to do makes the decision obvious.
Antigravity is a local LLM + agentic development environment. It's built for developers who want to run models on their own hardware and delegate complex, multi-step tasks to autonomous agents. Code generation is table stakes — Antigravity's differentiation is in handling entire systems: design, refactoring, test generation, and pipeline execution.
Cursor is VS Code with AI deeply integrated. Its strength is contextual understanding of existing codebases combined with fast, accurate code completion and modification. It reduces friction in daily coding work rather than replacing the developer's judgment.
Bolt is a browser-based full-stack app generator. Type a prompt, get a working web application — frontend, backend, database configuration included. Speed-to-working-prototype is its only goal.
One-line summary:
Antigravity: "Build complex systems with autonomous AI agents"
Cursor: "Code faster with an AI that understands your codebase"
Bolt: "Turn a prompt into a working web app"
Which Tool Fits Your Revenue Model
Revenue Model 1: SaaS / Web App Development
For rapid prototyping and customer validation, Bolt has no competition on speed. A functional app with working backend can appear in minutes. The limitation shows up at scale: Bolt-generated code gets messy fast, and customization becomes painful.
Practical split: Bolt for MVP validation → Cursor or Antigravity for production-grade development.
Revenue Model 2: Freelance / Contract Development
Working in client codebases that exist and need modification is where Cursor dominates. The @codebase command gives it genuine understanding of large repositories — you can ask for implementations that "match the existing pattern in auth.ts" and get something that actually fits.
# Cursor workflow for contract development
# Understand the existing system
@codebase Explain the authentication flow in this codebase
# Add features that fit the existing patterns
@codebase Add MFA to the login flow, matching the style of existing auth handlers
# Pre-PR safety check
@git Check if the changes in this branch break any existing testsContract development primary tool: Cursor (unmatched for existing codebases)
Revenue Model 3: AI Agent & Automation Tools
Building multi-agent systems, autonomous pipelines, or LLM-backed backends is where Antigravity is strongest. Its integration with Gemma 4 and local models, combined with agent coordination tooling, handles complexity that Cursor and Bolt weren't designed for.
# Antigravity agent design for B2B automation
from antigravity import Agent, Task, Pipeline
inventory_agent = Agent(
name="inventory_monitor",
model="gemma4:27b", # Runs locally — no API cost
tools=["database_query", "email_send", "slack_notify"],
instructions="""
Monitor inventory and respond automatically:
1. Trigger reorder flow when stock falls below reorder point
2. Alert on anomalous inventory changes (>20% unexplained variance)
3. Generate monthly inventory report on the 1st of each month
"""
)
pipeline = Pipeline([
Task("check_inventory", agent=inventory_agent, schedule="0 */2 * * *"),
Task("analyze_anomalies", agent=inventory_agent, depends_on=["check_inventory"]),
Task("notify_if_needed", agent=inventory_agent, depends_on=["analyze_anomalies"])
])
pipeline.run()AI agent / automation primary tool: Antigravity
Cost Comparison (May 2026)
Monthly pricing:
Antigravity:
Free: Local models (Gemma 4 etc.) run at no cost
Pro: $20/month (cloud model API access)
Cursor:
Free: 2,000 completions/month
Pro: $20/month (fast completions, GPT-4o/Claude unlimited)
Business: $40/user/month
Bolt:
Free: 150,000 tokens/month
Pro: $20/month (10M tokens)
Key consideration:
- If local LLMs cover your needs, Antigravity is dramatically cheaper
- Cursor Business handles team management better than the others
- Bolt's token-based billing is harder to predict at scale
Practical Tool Allocation from My Own Projects
For my main SaaS product (generating ~¥500,000/month): Cursor. The safety of adding features without breaking existing functionality is worth the subscription cost many times over.
For AI agent-based B2B automation tools: Antigravity. Running Gemma 4 locally while implementing complex multi-step business logic without API costs changes the economics significantly.
For validating new ideas: Bolt. I can have a demo running within 48-72 hours. If client reaction is strong, I rebuild in Cursor for production.
The Recommendation
If you can only choose one tool and need the broadest coverage, Cursor serves the widest range of monetization scenarios. The codebase understanding translates directly to faster, safer delivery — which translates to higher effective hourly rates in contract work and more confident iteration in your own products.
If AI agents and automation are your intended revenue source, Antigravity is worth prioritizing now. The first-mover advantage in local LLM-based agent tooling is still available for another year or two.
The tool comparison matters less than building something. Pick the best fit for your next specific project and start. Every hour spent comparing is an hour not building.
Real-World Revenue Numbers: What Developers Are Earning
The comparison becomes concrete when you attach actual revenue context. Here's what I've observed across different use cases:
Bolt → validated → rebuilt pattern: A solo developer I know built a SaaS for managing restaurant table reservations — Bolt in day one, shipped to first 5 paying customers in week two, rebuilt in Cursor by month two. Monthly recurring revenue is now ¥300,000. Without Bolt, validation would have taken 3-4 weeks. Without Cursor, the production version would have been unmaintainable.
Cursor for contract development: At ¥10,000–¥15,000/hour for senior contract work, improving your effective delivery speed by 30% directly adds ¥150,000–¥250,000 in monthly revenue potential from the same billable hours. Cursor typically delivers 25-40% throughput improvement in codebase-modification tasks based on my own project timing.
Antigravity for automation services: B2B automation contracts I've worked on typically run ¥200,000–¥500,000 per implementation, with ¥50,000/month ongoing maintenance. Building these with Antigravity instead of Cursor reduces implementation time by 40-60% for agent-heavy workflows. At three contracts per month, that's the difference between ¥100,000 and ¥300,000 in implementation profit after your tool costs.
The Workflow I Actually Use (And Why)
After running projects on all three tools simultaneously, my current stack is:
- New product idea: Bolt for the first functional demo. Goal is customer conversation, not code quality.
- Customer says yes: Cursor to rebuild with a real architecture. Bolt code rarely survives contact with production requirements.
- Agent features needed: Antigravity alongside Cursor. Keep Cursor for the web app layer, Antigravity for autonomous backend processes.
- Contract client work: Cursor exclusively. No other tool comes close for working in an existing codebase safely.
The mistake I see most often: developers pick one tool and try to use it for everything. Bolt generates problematic production code. Cursor is overkill for validating whether an idea is worth building. Antigravity's agent infrastructure is unnecessary for simple CRUD applications.
When to Switch or Add Tools
The trigger for changing tools isn't a feature list comparison — it's the economics of your time:
- If you're spending more than 2 hours per day manually searching your codebase for the right places to add features: add Cursor
- If API costs for AI features in your SaaS are growing faster than revenue: evaluate Antigravity's local model approach
- If your idea-to-paying-customer cycle is longer than 2 weeks: try a Bolt-first validation workflow
- If you're managing multiple client projects simultaneously: Cursor Business's team features justify the higher cost
The AI development tool market is still early enough that your choice of tools can genuinely be a competitive advantage. Antigravity's local LLM approach in particular gives a cost structure that cloud-only tools can't match for agent workloads.
Common Mistakes to Avoid
Bolt mistake: Using Bolt-generated code in production without a rebuild. The code works for demos, but lacks error handling, security considerations, and maintainability patterns. Always treat Bolt output as a specification, not a deployment artifact.
Cursor mistake: Over-relying on @codebase context and accepting suggestions without reading them. Cursor is very good at pattern matching, but pattern matching the wrong pattern faster doesn't help. Review suggestions against your actual intent.
Antigravity mistake: Running complex agentic pipelines without proper cost and time monitoring. Agent loops can run longer than expected and rack up compute costs even with local models if you're using cloud APIs as fallback. Always set explicit termination conditions and test with smaller datasets first.
Bottom Line
The "which is best" framing is less useful than "which is best for this project."
For your first move: try Antigravity for your next AI-heavy feature. The local model cost advantage is significant enough to justify the learning curve. Keep Cursor for existing codebase work. And keep Bolt in your toolkit for the next time you need to validate before you build.
The tools that generate the most revenue are the ones that shorten your feedback loop with paying customers — not the ones with the longest feature list.