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.
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. jetbrains elixir
VS Code highlights type warnings from Dialyzer. JetBrains requires external tool or manual Dialyzer run.
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. Example: find all Enum
In VS Code: Manually search-replace, or use LSP rename (which often misses references in umbrella children due to path misconfiguration). Risk of broken code.
| 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. For pure Elixir shops, evaluate the refactoring need
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.