Jetbrains Elixir May 2026

JetBrains, known for language-aware IDEs (IntelliJ IDEA, PyCharm, GoLand), offers a unique proposition: deep static analysis, structural search and replace, and VCS integration. However, Elixir’s dynamic nature and compile-time macros challenge traditional static analysis. This paper investigates how JetBrains’ architecture adapts to Elixir, and whether its approach yields tangible productivity gains.

Abstract Elixir, a dynamic, functional language built on the Erlang VM (BEAM), has gained significant traction for building scalable, fault-tolerant applications. However, its unique macro system, pipe operator, and OTP (Open Telecom Platform) behaviours present challenges for tooling. This paper explores the state of Elixir support within JetBrains IDEs (IntelliJ IDEA, Rider, WebStorm). It traces the evolution from community-driven plugins to the official "IntelliJ Elixir" plugin, analyzes its core features (code insight, refactoring, debugging), compares it with the dominant competitor (Visual Studio Code + ElixirLS), and evaluates its role in professional Elixir development. The paper concludes that while the JetBrains plugin offers a superior refactoring and navigation experience for monorepo and umbrella apps, the community’s momentum behind ElixirLS on VS Code remains a critical counterweight. 1. Introduction Elixir’s rise is attributable to three pillars: Ruby-like syntax, Erlang’s actor-based concurrency, and the Phoenix web framework’s real-time capabilities. As Elixir enters enterprise environments (e.g., Discord, PepsiCo, Brex), the demand for robust IDEs has grown. jetbrains elixir

VS Code highlights type warnings from Dialyzer. JetBrains requires external tool or manual Dialyzer run. Abstract Elixir, a dynamic, functional language built on

Example: find all Enum.map(..., fn x -> x end) and replace with Enum.map(..., & &1) . This pattern-based refactoring is unique to JetBrains. It traces the evolution from community-driven plugins to

| Feature | IntelliJ Elixir (v2023.3+) | VS Code + ElixirLS (v0.14) | |---------|----------------------------|----------------------------| | | Contextual, includes local/calls/macros | Comparable, uses Elixir’s code:get_env | | Go to definition | Works for most functions, fails on dynamic dispatch | Similar, but macro expansion via --trace | | Find usages | Excellent, includes usages across umbrella apps | Good, but slower in large repos | | Refactoring | Rename, extract function, inline variable – safe rename works across modules | Very limited (only rename via LSP, no extract) | | Structural Search & Replace | Yes (IntelliJ ultimate feature) – search AST patterns | No | | Quick fixes | Add missing alias, import, generate defimpl | Add alias, generate callback stubs | | Debugging | Works but requires setup; variable inspection can be flaky | ElixirLS debugger via elixir-ls/debugger – more stable | | Performance (large project) | Heavy memory (~2-3GB); indexing can stall | Lighter; incremental updates faster | | Price | Free plugin (IntelliJ Community Edition works) | Free (VS Code free) | 4.1 Where JetBrains Excels 1. Rename refactoring across umbrella projects IntelliJ’s cross-module reference graph enables safe renaming of a function from User.find/1 to User.lookup/1 across all child apps and tests – a task nearly impossible with grep-based tools.

The two tools serve different stages of the development lifecycle: VS Code/ElixirLS for rapid iteration, debugging, and macro exploration; JetBrains for large-scale code maintenance and architectural refactoring. Rather than a winner-takes-all market, the Elixir community benefits from this diversity. Future convergence via LSP adoption in JetBrains could ultimately provide developers with the best of both worlds.