--- title: "JetBrains" description: "18 posts about JetBrains, summarised, each linking to the original." --- # JetBrains > 18 posts about JetBrains, summarised, each linking to the original. ## Articles ### [Junie Local Comes to the NVIDIA RTX Spark](https://yomu.fyi/post/junie-local-comes-to-the-nvidia-rtx-spark.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Vladimir Sotnikov - Published: Oct 16, 2026 - Type: Announcement JetBrains announced Junie Local is now supported on the NVIDIA RTX Spark platform from day one, and Windows support has moved from experimental to stable. The RTX Spark pairs a Blackwell RTX GPU with a Grace CPU, enabling local AI coding on slim laptops and compact desktops. In testing, Junie Local reached generation speeds of up to 55 tokens per second on the RTX Spark, using Blackwell’s Tensor Cores for FP8 computation and speculative decoding. Junie Local automatically sizes the context window to fit available GPU memory, and users can choose between Qwen3.6-27B or a merged Qwen3.8-3.6-27B-blend model. The local engine now features a simple installer, reliable startup and updates, and no token charges or quotas, with code never leaving the machine. ### [How Netflix Made AI Coding Agents More Efficient with JetBrains IDE Intelligence](https://yomu.fyi/post/how-netflix-made-ai-coding-agents-more-efficient-with-jetbrains-ide-in.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Anastasia Kazakova - Published: Oct 15, 2026 - Type: Benchmark Netflix integrated JetBrains’ headless code-intelligence engine into coding agents Claude Code and Codex to address agents’ struggles navigating Java/Kotlin code across compiled JAR boundaries. The engine provides deterministic indexing of project source files and libraries, and Netflix built a daemon and CLI to make the LSP callable by agents, keeping the index warm across repeated calls. In benchmarks on two real codebases—an internal Spring Boot service and the open-source DGS Framework—agents using JetBrains intelligence were typically 20-30% more efficient in tokens and time, with up to 65% improvement for stronger models like Opus 5 at high effort. Correctness held steady or improved across all configurations, and the gains were consistent across every model and agent tested. Netflix plans to extend the same benchmark methodology to Python, TypeScript, and Go, as coding agents for those languages face similar problems. ### [MPS 2026.2 Release Candidate Available](https://yomu.fyi/post/mps-2026-2-release-candidate-available.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Vaclav Pech - Published: Oct 15, 2026 - Type: Announcement JetBrains has released the MPS 2026.2 Release Candidate, a language workbench for creating domain-specific languages, with several key improvements over the previous EAP1 build. The RC adds Linux ARM64 support with a bundled JetBrains Java Runtime and the ability to build standalone MPS-based applications for that architecture. Build Language now supports importing files from TAR archives, preserving symbolic links and file permissions, which is useful for packaging platform-specific plugins and native libraries. The Projectional Agent Toolkit receives a major performance boost with token usage reductions exceeding 50% in tests using Claude Code, plus new MCP tools for typesystem debugging, intentions, and quick-fixes. Archive packaging preserves symbolic links and uses .tar.gz for macOS to avoid duplicate native libraries, while the Import dialog now respects user selections and the Diff dialog has visual improvements. ### [How Cloud-Based Agent Sandboxing Works in Air](https://yomu.fyi/post/how-cloud-based-agent-sandboxing-works-in-air.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Dennis Ushakov - Published: Oct 14, 2026 - Type: Explainer AI agents require sandboxing to restrict file, network, and system access, preventing unintended modifications and data leakage. The post categorizes five agent execution modes into local (workspace, git worktree) and remote (SSH, Docker, Cloud), with remote modes providing stronger isolation by default. In JetBrains Air, each cloud agent task runs in its own VM with the agent inside a Docker container, and all network connections are routed through a proxy that allows only trusted domains by default. Secrets are stored encrypted and exposed as environment variables, and the agent operates within the developer’s repository permissions. Cloud-based execution reduces local setup requirements and gives organizations control over network access policies, with cloud agents currently available to organizational users via Air in IDEs and Air Teams. ### [Build Your Game Challenge: Join in and Compete for Prizes](https://yomu.fyi/post/build-your-game-challenge-join-in-and-compete-for-prizes.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Regina Muradova - Published: Oct 12, 2026 - Type: Announcement JetBrains Academy announces the Build Your Game Challenge for October, where participants complete the Build a Game With an AI Coding Agent course, add custom features, and submit their projects for prizes. The challenge runs from October 12 to October 23, with community voting and a JetBrains jury evaluating submissions on creativity, originality, gameplay, and player experience. Prizes include $400 and $250 for Community Choice, $150 for a Jury Award, and four $50 Jury Awards for standout projects, all as digital gift cards. Participants can use Junie Lite in JetBrains Air for free to build their game, or switch to a more capable model for complex mechanics. Submissions and voting open on October 19 via Discord, and winners will be announced on October 28. ### [UI freeze reports are now available in JetBrains Marketplace](https://yomu.fyi/post/ui-freeze-reports-are-now-available-in-jetbrains-marketplace.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Jakub Chrzanowski - Published: Oct 9, 2026 - Type: Announcement JetBrains Marketplace now provides UI freeze reports for plugin authors, accessible from the Freezes tab after enabling Marketplace reporting via the JetBrainsMarketplaceErrorReportSubmitter handler in plugin.xml. Reports are grouped by error type, with each pile showing a representative report and a thread-dump excerpt that identifies threads involved, such as the event dispatch thread (EDT), helping spot recurring patterns. Full thread dumps captured every five seconds during the freeze are available, along with optional CPU snapshots and performance metrics, and comparing dumps across samples can reveal persistent operations. The analyze-freeze skill guides AI agents through investigating IntelliJ Platform thread dumps, focusing on the EDT, coroutine behavior, and common patterns like non-cancellable read actions blocking the UI, with suggestions for fixes. Before fixing, authors should check the plugin version, keep blocking I/O outside read actions, and test changes by repeating the operation and examining fresh diagnostic evidence. ### [Code Quality Never Changes – Or Is AI Challenging This Notion?](https://yomu.fyi/post/code-quality-never-changes-or-is-ai-challenging-this-notion.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Kerry Beetge - Published: Oct 8, 2026 - Type: Problem & solution The post examines whether AI-generated code challenges traditional notions of code quality, especially in game development where performance, stability, and security are critical. It defines code quality across six dimensions: correctness, performance, stability, security, maintainability, and reusability. The author notes that while 95% of Unity developers use AI, AI code produces 1.7x more logic errors and more security issues than human code, though the overall issue rate is comparable. The proposed solution is to pair AI code generation with deterministic static analysis tools like Qodana, which can catch issues across all six quality dimensions. Studies cited show that combining static analysis with LLM calls reduces token usage by 72–92% and leads to 33% fewer vulnerabilities in master branches. The post demonstrates this workflow using Qodana integrated with GitHub Actions and IDE hooks that force AI agents to reformat and lint generated code. ### [Faster Developers Don’t Make a Faster Team](https://yomu.fyi/post/faster-developers-don-t-make-a-faster-team.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Gleb Malkov - Published: Oct 7, 2026 - Type: Problem & solution Discovery calls with engineering organizations reveal that widespread use of AI agents has not translated into faster team delivery. Individual developers gain speed, but three structural bottlenecks stall team-level progress. Teams lack shared prompts, rules, and configurations, forcing every agent to start cold and re-explain conventions. Code review processes designed for human-paced change become the new constraint, with some teams measuring increased pull request time. Automating routine work like library upgrades creates its own operational burden, as teams struggle to maintain and distribute automation pipelines across projects. Without shared infrastructure, coordination breaks down and the gap between proficient users and the rest widens. ### [Content and Community Basics for JetBrains Content Creators](https://yomu.fyi/post/content-and-community-basics-for-jetbrains-content-creators.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Boris Ageev - Published: Oct 6, 2026 - Type: Explainer The post covers community-building basics for JetBrains Content Creators in a golden age of digital creation with high demand and AI adoption, accepting new creators daily. Creators should include the JetBrains promotional discount code in video descriptions, with an example offering 20% off for new and existing subscriptions, and they can explore all JetBrains IDEs through the All Products Pack to diversify their workflow. Maintaining active social media is essential for distribution, and the program supplies news-worthy items like merch drops and IDE updates for creators to share with their audience. Staying in touch through communication, challenges, and giveaways is crucial, and the program provides up to twelve free IDE subscriptions per creator for giveaways. Even a simple subscription plus repost formula works effectively, and all new creators are welcome to join the program. ### [JetBrains Joins the Open Source Security Foundation](https://yomu.fyi/post/jetbrains-joins-the-open-source-security-foundation.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Katherine Druckman - Published: Oct 6, 2026 - Type: Announcement JetBrains has joined the Open Source Security Foundation (OpenSSF) as a general member. OpenSSF is a cross-industry Linux Foundation initiative that works to secure the software supply chain, hosting projects like Sigstore for signing and SLSA for supply chain integrity, and its AI/ML Security Working Group publishes guidance on signing ML models and safe instructions for AI code assistants. The foundation announced the membership at OpenSSF Community Day Europe in Prague. JetBrains cites the rise of coding agents and AI as creating new security challenges, making it more important for developers to understand and verify code and dependencies, and notes that its own product JetBrains Air addresses these questions. The company aims to collaborate with the industry through OpenSSF to help shape the future of secure software development, as stated by Katherine Druckman, Head of Community and Partnership Engagement. ### [dotInsights | October 2026](https://yomu.fyi/post/dotinsights-october-2026.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Rachel Appel - Published: Oct 5, 2026 - Type: Announcement The dotInsights newsletter from JetBrains collects recent .NET and software development articles for developers. Topics include C# 15 collection expression arguments, union serialization with System.Text.Json, and control flow obfuscation for .NET and Java teams. Several posts focus on ASP.NET Core, covering middleware, RAG integration, and using passkeys for second factor authentication. The newsletter also features discussions on event-driven architecture versus CRUD over pub/sub and the impact of AI on database schema design. JetBrains announces the Rider 2026.2.3 release and explains how Microsoft helped fix slow startup times for Rider and ReSharper. ### [A New Agentic Experience: JetBrains Air in IDEs – EAP Now Open](https://yomu.fyi/post/a-new-agentic-experience-jetbrains-air-in-ides-eap-now-open.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Dominique Rolink - Published: Oct 1, 2026 - Type: Announcement JetBrains launched the Early Access Program for Air, an agentic experience in its IDEs available as a plugin or in 2026.3 EAP builds. Air orchestrates multiple AI agents in parallel, moving beyond the traditional AI chat model that JetBrains found insufficient for concurrent tasks. It acts as a conduit for existing agents like Codex, GitHub Copilot, Junie, and Claude, requiring no JetBrains AI subscription. The agentic-first UX organizes work into sessions with cost visibility, temporary worktrees, and local or cloud runs, with free Junie Lite for everyday tasks. Air ships with no agents installed, detects agents on the machine, and sends data directly to the user’s provider, while AI Assistant remains available as a separate plugin. ### [Small Talk with Emiliano Bonilla, CEO and Co-Founder of Synnax](https://yomu.fyi/post/small-talk-with-emiliano-bonilla-ceo-and-co-founder-of-synnax.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Mitsal Athaya - Published: Sep 30, 2026 - Type: Announcement Emiliano Bonilla, CEO of Synnax, built the company after witnessing rocket engine testing operations ruin multi-million-dollar hardware because Excel and Python could not handle real-time control. Synnax is a platform that replaces decades-old aerospace tools, capturing sensor data in real time and tightening the loop between collection and action. The team built its own real-time programming language, Arc, in about six months after finding existing tools unsuitable. Synnax currently focuses on aerospace but is expanding into cryogenic control for quantum computing, oil and gas, and manufacturing. The company uses JetBrains IDEs, citing their debuggers and merge conflict resolution as critical to balancing speed and quality in mission-critical software. ### [The Companions to Come](https://yomu.fyi/post/the-companions-to-come.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Daria Voronina - Published: Sep 30, 2026 - Type: Announcement JetBrains is extending Kotlin’s companion mechanism with experimental companion blocks and companion extensions in Kotlin 2.5.0. Companion blocks replace the object keyword with a companion block, compiling members as static members on the JVM. Companion extensions allow adding class-level members to any type, even types the developer does not control. These features improve multiplatform interoperability by enabling expected companion block members to be actualized using Java static members. Companion objects remain fully supported and are still required when the companion must implement an interface, but companion blocks are recommended for new code. ### [Air Teams: Bring Your Best Agentic Workflows to the Whole Team – and Automate Repeatable Work](https://yomu.fyi/post/air-teams-bring-your-best-agentic-workflows-to-the-whole-team-and-auto.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Vladimir Gromozdin - Published: Sep 28, 2026 - Type: Announcement JetBrains introduced Air Teams, a shared workspace for agentic development that extends beyond individual developers to teams and organizations. The system comprises four components: Automations for recurring tasks triggered by events or schedules, shared cloud environments with preconfigured tools and credentials, cloud tasks that run in parallel without tying up local machines, and team projects that centralize members, environments, and credits. Automations include templates for code review, bug fixes, and dependency updates, and they run under a project’s service account so they persist after a creator leaves. Shared environments are defined in a repository’s .air/cloud/startup.sh script and can be snapshotted for reuse, with secrets shared without exposing values. Air Teams is available to business customers, with plans to expand to individual customers later. ### [Rider 2026.2.3 Is Released!](https://yomu.fyi/post/rider-2026-2-3-is-released.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Alexander Kurakin - Published: Sep 28, 2026 - Type: Announcement Rider 2026.2.3 is released, adding AI performance analysis to the Monitoring tool window and fixing an issue with the AI Agent Setup widget on Windows. The Monitoring tool window collects runtime data every time an application runs, allowing the AI agent to find bottlenecks and link them to code using the Analyze with AI action, which sends a prompt to the agent to begin the investigation. The agent uses the dottrace-analyze skill to show where time was spent, follow hot paths in code, and provide useful performance insights in the chat. This feature requires Windows, dotUltimate or the All Products Pack, and the AI Assistant plugin. The widget fix addresses issue RIDER-143160, where clicking its taskbar icon with display scaling below 175% failed to open the widget, and updates are available from the IDE, Toolbox App, or website. ### [Code Quality Q&A With the JetBrains Qodana Team](https://yomu.fyi/post/code-quality-q-a-with-the-jetbrains-qodana-team.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Kerry Beetge - Published: Sep 22, 2026 - Type: Explainer The Qodana team answers frequently searched questions about code quality, distinguishing technical debt from poor code quality and offering practices to reduce cognitive complexity in nested loops. They explain that code coverage measures how much production code is executed by unit tests, while mutation testing evaluates test quality by checking whether tests detect deliberate code changes. Unit tests provide the fastest feedback on code changes by catching regressions close to their introduction and making refactoring safer. To track improvement, teams should monitor static analysis trends such as new issues and technical debt, and also look for fewer Sev 1 issues in production and faster mean time to repair. False positives in automated scanning can be reduced by giving the tool more repository context, such as excluding inspections in qodana.yaml or silencing them with inline comments. ### [JetBrains Air: Building a System of Products for Agentic Software Development](https://yomu.fyi/post/jetbrains-air-building-a-system-of-products-for-agentic-software-devel.md) - Company: [Jetbrains](https://yomu.fyi/company/jetbrains.md) - Author: Kirill Skrygan - Published: Sep 22, 2026 - Type: Announcement JetBrains Air is a system of products for agentic software development, built on the premise that no single model, agent, or service fits every developer, team, or task. It connects products for individual work, team coordination, organizational control, context, and process automation, while remaining open to tools and agents developers choose, including those JetBrains does not build. This openness lets developers select the agent, model, or service suited to a task without forcing the organization to give up context, visibility, or control. The Post notes that every new model, agent, or service an organization adds reduces visibility into its own development work. Because intelligence does not belong to one model, the benefit can extend across supported agents and services.