JetBrains 2026 Survey: AI Coding Agents Become Standard Developer Infrastructure
Survey Overview: A Historic Inflection Point
The JetBrains Developer Ecosystem Survey 2026, published in August 2026, reveals a historic turning point in software development: 90% of professional developers now use AI coding agents at least weekly, with 68% using them daily. The survey covered more than 15,000 professional developers globally, conducted between May and July 2026.
This data marks the formal transition of AI coding tools from "experimental technology" to "essential daily infrastructure." JetBrains researchers noted that the "autocomplete era" has largely been superseded by agentic workflows — developers are no longer just accepting code suggestions but delegating entire tasks to AI agents for execution.
Market Reshuffling: Claude Code Takes the Crown
Claude Code's Remarkable Rise
The survey's most striking finding is Claude Code's rapid ascent. Its adoption rate surged from 18% in January 2026 to 39% during the survey period (May-July), reaching 47% in the United States. 31% of developers identified Claude Code as their single most-used AI coding tool, officially surpassing long-time market leader GitHub Copilot.
| Tool | Jan 2026 Adoption | May-Jul 2026 Adoption | Change |
|---|---|---|---|
| Claude Code | 18% | 39% | +21% |
| GitHub Copilot | 29% | 21% | -8% |
| OpenAI Codex | 3% | 16% | +13% |
| Cursor | 18% | 12% | -6% |
| OpenCode (Open Source) | - | 7% | New |
GitHub Copilot's Challenges
GitHub Copilot's adoption declined from 29% to 21%, despite maintaining high brand awareness at 79%. This "high awareness, low adoption" phenomenon suggests that while developers know Copilot, they increasingly prefer alternatives like Claude Code in actual use.
OpenAI Codex's Strong Comeback
OpenAI Codex also performed impressively: adoption jumped from 3% to 16%, with developer awareness rising dramatically from 27% to 65%. This growth was primarily driven by OpenAI's major Codex updates and promotion in the first half of 2026.
Deep Dive: Agentic Coding Behavior
Code Generation Ratios
The survey explored the extent to which developers delegate code generation to AI agents:
- Average 47% of code is fully generated by AI agents
- 38% of code is completed with AI assistance
- 27% of code is written fully manually
- 22% of developers generate more than 80% of their code using agents
Senior Developers Lead Agentic Adoption
Notably, senior developers are more likely to adopt agentic workflows than junior developers. Approximately one quarter of senior developers let AI agents generate more than 80% of their code. This challenges the stereotype that "AI tools primarily serve beginners," demonstrating that agentic coding delivers significant value in enhancing high-end development efficiency.
Programming Language Differences
Significant differences exist in AI agent usage across programming languages:
- Go, JavaScript, TypeScript developers: Highest AI-generated code ratios (54-55%)
- C, C++ developers: Highest manual coding ratios, relatively lower AI generation
These differences likely relate to the degree of code pattern standardization and richness of AI training data for different languages.
Asia-Pacific: Global Leaders in Agentic Coding
The survey reveals a surprising regional difference: East Asian developers (China, Japan, South Korea) are the world's most aggressive adopters of agentic coding.
- East Asia: 32-35% of developers let AI agents generate more than 80% of their code
- Europe and UK: Only approximately 16% of developers reach the same level
This data reflects Asia-Pacific developers' high receptiveness to AI tools and the regional tech culture's strong preference for efficiency tools. For Asia-Pacific tech enterprises, this means investments in AI coding tool procurement and training will yield higher returns.
JetBrains' Response: Air and JetBrains Central
Facing the agentic coding wave, JetBrains has launched two new products:
JetBrains Air
A lightweight IDE designed specifically for agentic workflows, supporting AI agents to autonomously execute complex tasks in the background while providing developers with clear task progress visualization.
JetBrains Central
An enterprise-grade agent management platform offering unified agent governance, monitoring, and access control, helping enterprises enjoy agentic coding efficiency while ensuring code quality and security compliance.
Industry Impact: A Paradigm Shift in Software Development
JetBrains survey data reveals a profound paradigm shift in software development:
- From "completion" to "delegation": Developers no longer just accept code suggestions but delegate entire feature module development to AI agents
- From "tool" to "colleague": AI agents are becoming virtual team members, handling complete workflows including testing, debugging, and documentation
- From "assistance" to "leadership": In certain scenarios, AI agents have become the primary force in code production
This transformation will have far-reaching implications for software engineering education, hiring standards, code review processes, and intellectual property attribution.
Conclusion
JetBrains 2026 survey data clearly demonstrates that AI coding agents are no longer a future trend but a present reality. Claude Code's rise, GitHub Copilot's decline, and East Asian developers' leading position together paint a picture of a rapidly evolving software development ecosystem. For individual developers and enterprises alike, embracing agentic coding workflows has become a necessary choice for maintaining competitiveness.
