What the JetBrains Developer Survey 2026 Tells Us About AI Coding Tools
In April 2026, JetBrains released the latest Developer Ecosystem Survey, painting a data-driven picture of how developers actually use AI coding tools. The headline numbers are striking: GitHub Copilot has reached 76% awareness, Claude Code posted 57% year-over-year growth, and yet only 18% of developers regularly use AI coding tools in their daily work.
That gap between knowing and doing is the most important story in AI-assisted development right now. This article breaks down the survey data, examines where Google Antigravity fits into the landscape, and offers practical guidance for developers choosing the right AI IDE.
The Awareness-Usage Gap: What the Numbers Really Mean
The JetBrains survey reveals a market in transition. Awareness is high, but actual adoption tells a different story.
The top three tools by developer awareness are as follows:
- GitHub Copilot: 76% (up 8 points year-over-year, maintaining market-leading position)
- ChatGPT (for coding): 68% (general-purpose AI becoming a coding companion for many)
- Claude Code: growing at 57% (rapidly gaining recognition despite being newer to the market)
Meanwhile, actual usage across all AI coding tools sits at just 18%. This discrepancy points to real barriers: enterprise security policies, integration costs with existing workflows, and lingering skepticism about AI-generated code quality.
// AI Coding Tool Awareness vs. Usage (Survey Data Visualization)
const surveyData = {
tools: [
{ name: "GitHub Copilot", awareness: 76, usage: 18, growth: "+8%" },
{ name: "ChatGPT (Code)", awareness: 68, usage: 15, growth: "+12%" },
{ name: "Claude Code", awareness: 42, usage: 8, growth: "+57%" },
{ name: "Antigravity", awareness: 35, usage: 6, growth: "+120%" },
{ name: "Cursor", awareness: 31, usage: 11, growth: "+45%" },
],
// Higher ratio = better "try it after learning about it" conversion
conversionRate: (tool) => ((tool.usage / tool.awareness) * 100).toFixed(1)
};
surveyData.tools.forEach(t => {
console.log(`${t.name}: ${t.awareness}% aware → ${t.usage}% using (conversion: ${surveyData.conversionRate(t)}%)`);
});
// Output:
// GitHub Copilot: 76% aware → 18% using (conversion: 23.7%)
// Antigravity: 35% aware → 6% using (conversion: 17.1%)
// Cursor: 31% aware → 11% using (conversion: 35.5%)One data point worth highlighting: Cursor has the highest conversion rate despite lower overall awareness. Its VS Code compatibility appears to significantly lower the barrier to entry — developers can try it without changing their existing setup.
Why Antigravity's Growth Rate Leads the Pack
Antigravity's awareness grew by 120% year-over-year in the JetBrains survey, the fastest growth rate of any tool measured. Three factors are driving this trajectory.
First, the Google ecosystem advantage. Seamless integration with Firebase Studio, the Gemini API, and Google Cloud means near-zero additional setup for developers already within Google's orbit. This network effect is powerful: every new Firebase user becomes a potential Antigravity user.
Second, the free public preview strategy. Antigravity opened access to personal Gmail accounts, dramatically expanding its reach beyond professional developers. When Cursor 3 charges $200/month for its premium tier, Antigravity's free access becomes a compelling on-ramp.
Third, the multi-agent differentiation. AgentKit 2.0 introduced multi-agent orchestration capabilities that remain unique in the AI IDE space. While other tools focus on single-agent code completion, Antigravity lets developers coordinate multiple AI agents working in parallel.
For a deeper dive into agent capabilities, the AgentKit 2.0 Complete Guide covers everything from fundamentals to production implementation.
Feature Comparison: Where Each AI IDE Excels in April 2026
Asking "which AI IDE is best" is the wrong question. Each tool has distinct strengths, and the right choice depends on your development style and project requirements.
Google Antigravity Strengths
- Model selection across Gemini 3.1 Pro, Claude Sonnet 4.5, and GPT-OSS
- Multi-agent parallel processing via AgentKit 2.0
- Native Firebase and Google Cloud integration
- Free public preview with personal Gmail access
Cursor 3 Strengths
- Full VS Code compatibility (all existing extensions work immediately)
- Agents Window for parallel agent execution
- Design Mode and Composer 2 for rapid prototyping
- SSH and cloud development environment support
Claude Code Strengths
- Lightweight terminal-based architecture
- Massive context understanding (200K token support)
- Natural language task instruction focus
- 57% year-over-year growth signaling strong developer satisfaction
GitHub Copilot Strengths
- 76% awareness makes team adoption frictionless
- Deep GitHub and Azure DevOps ecosystem integration
- Coding Agent feature expanding into agentic workflows
- Enterprise support and compliance certifications
For a practical comparison of how these tools perform in real workflows, check out the 2026 AI IDE Selection Guide.
Enterprise Adoption: 40% of Apps Will Embed AI Agents by Year-End
Gartner predicts that 40% of enterprise applications will incorporate AI agents by the end of 2026. Combined with the JetBrains data, a clear trend emerges: AI IDEs are evolving from personal productivity tools into enterprise development infrastructure.
Enterprise selection criteria differ significantly from individual developer preferences.
// Enterprise AI IDE Evaluation Framework
interface EnterpriseEvaluation {
security: number; // Data privacy and compliance
integration: number; // Compatibility with existing CI/CD pipelines
scalability: number; // Ease of team-wide deployment
cost: number; // License cost-effectiveness
support: number; // Vendor support and SLA
}
const evaluateForEnterprise = (tool: string): EnterpriseEvaluation => {
const scores: Record<string, EnterpriseEvaluation> = {
"antigravity": {
security: 9, // Built on Google Cloud security infrastructure
integration: 8, // Native Firebase / GCP integration
scalability: 8, // Google Workspace ecosystem
cost: 9, // Free preview + graduated pricing
support: 7, // Still in public preview phase
},
"copilot": {
security: 8, // GitHub Enterprise integration
integration: 9, // GitHub Actions / Azure DevOps native
scalability: 9, // Works with every major editor
cost: 7, // $19/month per user
support: 9, // Mature enterprise support
},
};
return scores[tool] || { security: 0, integration: 0, scalability: 0, cost: 0, support: 0 };
};
const calcTotal = (e: EnterpriseEvaluation) =>
Object.values(e).reduce((sum, v) => sum + v, 0);
console.log("Antigravity:", calcTotal(evaluateForEnterprise("antigravity")));
// Output: Antigravity: 41
console.log("Copilot:", calcTotal(evaluateForEnterprise("copilot")));
// Output: Copilot: 42GitHub Copilot currently holds a slight edge in enterprise scenarios, but Antigravity's Google Cloud security foundation and free preview strategy position it well for the next wave of enterprise AI IDE adoption.
For more on enterprise AI agent strategies, see AI Agent Enterprise Adoption: 2026 Trends.
Three Actions Developers Should Take Right Now
The survey's "high awareness, low usage" finding has a silver lining: developers who start using AI coding tools now gain a significant competitive advantage while most of the industry watches from the sidelines.
Action 1: Try Antigravity's Free Preview for Multi-Agent Workflows
The lowest-risk entry point is signing up for Antigravity's free public preview with your Gmail account. The multi-agent capabilities through AgentKit 2.0 offer an experience you cannot get from other AI IDEs, even their paid tiers.
Action 2: Start with Low-Risk Tasks in an Existing Project
Rather than a full migration, introduce an AI IDE for test generation, documentation, or boilerplate code. This builds team confidence incrementally while demonstrating concrete productivity gains.
Action 3: Learn Context Engineering
Regardless of which AI IDE you choose, the skill that maximizes results is context engineering — how you communicate your project's structure, conventions, and requirements to the AI. This human skill matters more than the tool itself.
# Setting up project context in Antigravity with AGENTS.md
cat > AGENTS.md << 'EOF'
# Agent Instructions
## Code Style
- Use TypeScript strict mode
- Prefer pure functions
- Use Result types for error handling
## Testing Strategy
- Unit tests for all public APIs
- E2E tests with Playwright
- Maintain 80%+ coverage
## Commit Messages
- Follow Conventional Commits format
- Include descriptive body text
EOF
echo "✅ AGENTS.md created — Antigravity now understands your project context"
# Output: ✅ AGENTS.md created — Antigravity now understands your project contextLooking back
The JetBrains Developer Ecosystem Survey 2026 captures a pivotal moment in AI-assisted development. While GitHub Copilot dominates awareness at 76%, Antigravity's 120% growth rate signals a rapidly shifting landscape. Claude Code's 57% growth adds a third major contender, creating genuine competition that will ultimately benefit developers.
The most actionable takeaway isn't about which tool is "best" — it's that 82% of developers haven't yet integrated AI coding tools into their workflow. Those who start now, regardless of which tool they choose, will have a meaningful head start as AI-assisted development becomes the industry default.
Antigravity's free public preview makes it the lowest-risk starting point for exploring what AI IDEs can do for your development workflow.