JetBrains

ESLint and Qodana aren't competitors – we solve different problems. ESLint is fast, file-level, and great at enforcing style and common patterns. Qodana is type-aware, cross-file, and designed to catch what only becomes visible when you look at the whole project together. Think of it this way: ESLint is a spell-checker, while Qodana is a proofreader who's read the entire codebase. We just published a post showing exactly where that gap matters through five kinds of TypeScript issues that ESLint won't flag, even in a well-configured project. If you're running TypeScript in CI, it's worth a look: https://jb.gg/tqosu4

London Tech Week was packed full of insights on AI and emerging tech. We caught up with Kris Kang, CPO of JetBrains Agent Systems, to get his take on overlooked trends, AI hype, and why software developers are more critical than ever to preserving code quality as processes automate. Hear his thoughts in the video below

How do you win a hackathon? 🏆 Judges from the JetBrains x Codex Hackathon shared what gets their vote: 🎯 Start with the problem, not the tech ✂️ One thing that works beats five that don’t 💻 The demo is the pitch. Show it working, fast 🎉 Have fun. Judges can tell Big thanks to our judges from OpenAI, Nebius, Scarf, and Stateshift for sharing their notes from the judging table. Full post: https://lnkd.in/dbtFZWnd #hackathon #developers #JetBrains #AI

Education has always been part of who we are 💙 Today we're welcoming 109 talented students from 25 countries to ACTS 2026.2. They'll spend the next two weeks learning from experts, collaborating with peers, and exploring computer science together.

JetBrains GameDev Day 2026 is looking for speakers! On September 28, we’ll host a one-day online event for game developers worldwide with live sessions, practical technical content, and community watch parties. This year, we’re also planning a special GameDev Day x DevGAMM Belgrade watch party as a pre-event activity before the main DevGAMM conference, giving the program an additional offline community touchpoint. If you have a practical, technical, or thought-provoking gamedev story to share, submit your talk: https://lnkd.in/dkfg28q2

A lot was said about AI at RAISE Summit Paris last week. But what can you actually take back to your company and put to good use? Our JetBrains specialists share their takes right here.

Which AI coding agents work best with Kotlin? Today, we're open-sourcing the Kotlin Benchmark, featuring a public leaderboard that shows how AI coding agents and models perform on real-world Kotlin tasks. Compare the results to see what best fits your team. This is just the first iteration, and we'll keep improving it. Stay tuned. Explore the leaderboard and read the methodology. ➡️ https://lnkd.in/dyXwkJC4

It was great to be back at Devoxx Poland! 🇵🇱 A few packed days, hundreds of conversations, and lots of familiar (and new) faces. We spent our time talking code, developer tools, AI, and the work happening across our engineering teams in Poland. 👩🏻💻 Marit van Dijk kept the momentum going with two sessions:   👉 The first session unpacked the core concepts behind Maven, from lifecycle and dependencies to profiles and security, and how you can leverage both Maven and IntelliJ IDEA together to improve your build setup. 👉 The other session focused on why we spend more time reading code than writing it, yet rarely practice the skill. The session explored how deliberate code reading can help us navigate unfamiliar codebases, and how the IDE can help us.  Thanks to everyone who stopped by the booth, joined the session, or just said hi. Catch a few highlights from the event in the gallery below. *** Photos by Nel Gwiazdowska

AI return on investment is about more than individual developer productivity. In this video, Kris Kang, Chief Product Officer for JetBrains Agent Systems, explains why we’re looking at ROI measurement at the organization level, tailored to each enterprise. Learn more about JetBrains AI for Teams and Organizations, now in early access: https://jb.gg/z2mat8

RAISE Summit Paris 2026 has come and gone, and we’re taking a second to reflect on what was an incredible experience for team JetBrains. Interestingly, most conversations at our booth kept swinging back round to a shared problem. Teams are incorporating AI into their workflows wherever possible, but very few have a full view of what it's actually doing across their codebase (or what it's costing them to find out). As a result, we spent the two days of the event talking to others about: • How to run multiple agents and models without getting locked into one vendor. • How to keep visibility over what AI touches in a codebase. • How to manage AI spend the way you'd manage cloud spend (not just as a mystery line item). Unpacking these essentials carried over to the main stage as well. Oleg Koverznev, Chief Business Officer at JetBrains Agent Systems, sat down with Dion Harris, Senior Director of HPC and AI Hyperscale Infrastructure Solutions at NVIDIA, for a detailed discussion about tangible, on-the-ground experiences with trust, ownership, and scale in the context of agentic AI. Additionally, Ciara Byrne, Director of Engineering Productivity and AI Impact at JetBrains Central, ran a workshop on what actually moves the needle on engineering productivity today. Spoiler alert: it's not just handing every developer an agent or two and hoping for the best (and we’ll share more insights from the session soon). We’re curious to know where your organization stands on all of this. Are you further along on managing AI at scale, or still figuring it out as you go? There are no wrong answers here, promise. Drop your take below, and please enjoy a few snaps from an eventful Summit right here. 👇