OpenIDEA ships an open-source Rust IDE with IntelliJ-style workflows

An open-source project named OpenIDEA reached Hacker News's front page on 1 November 2026, pitched as a familiar IDE experience rebuilt on a Rust core. Hosted on GitHub under the l0ng-ai organisation, it tries to carry over the way people work in IntelliJ IDEA — the keymap, the tool windows, the habit of finding anything from a single search box — into a native application for macOS, Windows and Linux.

What the project ships

According to the repository's README, the IDE bundles an editor with code insight, a debugger, Git integration, an embedded terminal, and database and HTTP clients, with support for more than 60 programming languages. Download pages cover all three desktop platforms, and the project also points to a benchmark write-up, build instructions and a Discord community. The code is licensed under Apache 2.0, with bundled third-party assets catalogued in a separate licence file.

The project is careful to state that it is not affiliated with JetBrains, and that IntelliJ IDEA remains a JetBrains trademark — OpenIDEA is an independent reproduction of similar workflows rather than a port of JetBrains code.

The performance claims

The centre of attention is a self-published benchmark that pits OpenIDEA against IntelliJ IDEA 2026.2.3. The test opens the freqtrade Python project, roughly 770 files, with warm caches, and takes the median of five runs. Hardware was a Windows 11 machine with a 32-core AMD processor and 62 GB of RAM; OpenIDEA was a release build from the main branch, while IDEA ran with default settings and plugins.

The reported results:

• Project window visible: 0.9 seconds for OpenIDEA versus 3.1 seconds for IDEA
• Ready state, CPU settled: 1.1 seconds versus 13.2 seconds
• Memory across all processes (USS): 169 MB versus 2,011 MB
• CPU time until ready: 2.4 seconds versus 47.9 seconds
• Idle CPU: 4 percent of a core versus 7 percent
• Quit time: 0.3 seconds versus 5.9 seconds

The README openly flags a significant caveat: IDEA analyses Python more deeply, so its ready state does not represent the same amount of completed work as OpenIDEA's. Both applications were measured from the outside in the same way, and the repository ships a perf/compare harness so anyone can rerun the comparison on their own hardware and projects.

How it is built

Development rests on the Tauri framework, with Rust 1.96, Node 22 and pnpm listed as build prerequisites. The test suite includes opt-in native notebook execution tests that require two distinct Python environments with ipykernel installed, which indicates that notebook support exists in the codebase rather than sitting on a roadmap.

Why it matters

Heavy memory use and slow startup have dogged the IntelliJ platform for years, a consequence of running a large IDE on the JVM with deep indexing and analysis. OpenIDEA's wager is that developers should not have to abandon their muscle memory to escape that cost: keep the IntelliJ keymap and tool-window layout, and swap the engine for a native Rust core.

The project also joins a wider movement of Rust-based developer tools — editors such as Zed and Lapce have made raw performance a differentiator against both Electron- and JVM-based incumbents — and the Apache 2.0 licence plus a public benchmark harness invite independent verification rather than taking marketing claims on faith.

The caveats are just as real. The numbers are self-reported, the ready-state comparison is admittedly not equivalent work, and a young codebase cannot match two decades of IntelliJ plugins, inspections and refactoring polish overnight. What OpenIDEA demonstrates is that the IntelliJ workflow can be rebuilt natively at all, and that alone makes it one of the more notable developer-tool launches to watch.