IntelliJ Protobuf Language Plugin
May 9, 2026 · View on GitHub
IntelliJ Protobuf Language Plugin
Full-featured Protocol Buffers support for JetBrains IDEs
Semantic analysis · Cross-file navigation · Multi-language integration · Protobuf Editions
✨ What It Does
This plugin turns your JetBrains IDE into a protobuf-aware development environment — not just syntax highlighting, but deep understanding of your schema.
Warning
Not compatible with the bundled JetBrains Protocol Buffer plugin. Disable Protocol Buffer and gRPC before installing.
🚀 Quick Start
- Open Settings → Plugins → Marketplace
- Search for "Protobuf" by kanro
- Install and restart
🔍 Feature Highlights
Schema Intelligence
Understands your .proto files semantically — resolves types across files and imports, validates field numbers, checks naming conventions, and catches errors in real time.
Cross-File Navigation
Go-to-definition, find usages, and rename refactoring that works across files, packages, and even library proto definitions.
|
Reference resolution
|
In-place rename
|
Smart Editing
Auto-completion that understands context — types, field names, enum values, options. Auto-import and import optimization built in.
|
Auto import
|
Import optimizer
|
Multi-Language Integration
| Module | Features |
|---|---|
| Java / Kotlin | Navigate between .proto and generated Java code |
| Go | Go code navigation, decompile from proto descriptors |
| gRPC | Send requests via HTTP Client, explore APIs via Endpoints |
| AIP | Google API design spec validation and completion |
| Sisyphus | Sisyphus Kotlin framework integration |
Modern Protobuf
- Protobuf Editions (
edition = "2023") support - Text Format (
.textproto) with schema-based validation - Buf support via companion plugin
AIP Spec Support
Validates and auto-completes Google API Improvement Proposals — resource definitions, HTTP rules, and naming conventions.
🤖 Copilot-Powered Development
This project uses AI-assisted development with a structured workflow:
brainstorm → implement → ship → reflect
Every non-trivial change goes through a brainstorm (design discussion with a state machine), followed by implementation, shipping with quality gates, and post-ship reflection. Learnings accumulate in a knowledge base that feeds back into future work.
See .github/copilot-instructions.md for the workflow and .github/skills/ for the skill definitions.
📖 Documentation
| Overview | What the plugin does and why |
| Architecture | How the pieces fit together |
| Getting Started | Build, run, and test |
| Contributing | Code style and how to add features |
| Design Docs | Deep-dive into subsystem design decisions |
| Extension Points | API for extending the plugin |
🙏 Acknowledgments
Inspired by protobuf-jetbrains-plugin and intellij-protobuf-editor.