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Deep Dive: How JetBrains Fleet Indexes 1M Line Codebases with Rust 1.85 and Kotlin 2.0

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Deep Dive: How JetBrains Fleet Indexes 1M Line Codebases with Rust 1.85 and Kotlin 2.0

Indexing a 1,000,000-line Java codebase in under 800ms with 40% lower memory overhead than...

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try { if(localStorage) { let currentUser = localStorage.getItem('current_user'); if (currentUser) { currentUser = JSON.parse(currentUser); if (currentUser.id === 3900225) { document.getElementById('article-show-container').classList.add('current-user-is-article-author'); } } } } catch (e) { console.error(e); } ANKUSH CHOUDHARY JOHAL Posted on Apr 29 • Originally published at johal.in Deep Dive: How JetBrains Fleet Indexes 1M Line Codebases with Rust 1.85 and Kotlin 2.0 #deep #dive #jetbrains #fleet Indexing a 1,000,000-line Java codebase in under 800ms with 40% lower memory overhead than traditional IntelliJ IDEA indexing isn’t magic—it’s a deliberate, Rust 1.85-powered, Kotlin 2.0-orchestrated architecture that JetBrains spent 3 years building for Fleet.

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