Jetbrains Elixir May 2026

| 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.

Example: find all Enum.map(..., fn x -> x end) and replace with Enum.map(..., & &1) . This pattern-based refactoring is unique to JetBrains.

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. jetbrains elixir

VS Code highlights type warnings from Dialyzer. JetBrains requires external tool or manual Dialyzer run.

VS Code: Debug adapter more reliable; inspect large terms with #inspect . However, initial launch configuration ( launch.json ) is more manual. | Feature | IntelliJ Elixir (v2023

Phoenix LiveView (real-time HTML) is better supported in VS Code due to Tailwind CSS, HTML, and HEEx template tooling. JetBrains handles .heex but with less polish.

For teams already using JetBrains Ultimate (e.g., for JVM work), adding Elixir plugin is a no-brainer. For pure Elixir shops, evaluate the refactoring need. JetBrains’ Elixir support is no longer a second-class citizen. The IntelliJ Elixir plugin delivers enterprise-grade refactoring and cross-file navigation that surpasses LSP-based tools in complex projects. However, it lags in macro introspection, LiveView ergonomics, and runtime performance. This pattern-based refactoring is unique to JetBrains

Elixir developers often work with PostgreSQL (via Ecto). IntelliJ’s database console and VCS annotate (blame) work seamlessly with Elixir files. 4.2 Where ElixirLS/VS Code Wins 1. Macro expansion on demand ElixirLS can show the expanded macro output by compiling the module. JetBrains does not offer this – a significant gap for advanced metaprogramming.