AI Decision System
Replayable, offline-verifiable records for AI-assisted go/no-go decisions: experiment promotions, typed model answers and human-approved actions.
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1분 만에 확인하기Starlasu - A Language Engineering Framework
저장소 README에서 가져옴
README 전체를 불러오는 중입니다.
README 전문 보기 ↗Starlasu Kotlin provides the infrastructure for building custom, possibly mutable, Abstract Syntax Trees (ASTs).
It supports both Kotlin and Java, and integrates smoothly with ANTLR, though it can also be used standalone.
Starlasu stands for Star Language Support — a family of libraries available for multiple languages, including Python, TypeScript, and C#.
| Version | Status | JVM Support | Kotlin Support | Notes |
|---|---|---|---|---|
| 1.5 | Maintenance mode | 1.8 | 1.8 | Actively maintained for legacy compatibility (Kolasu, com.strumenta.kolasu) |
| 1.6 | Dropped | — | — | Internal line, never meant to be adopted |
| 1.7 | Current stable | 21 | 2.4 | Current release line (main); see the 1.5 → 1.7 migration guide |
| 2.0 | Planned | 29 | — | Future major release |
Tested with JDK 21 and 25.
README.md of each module, also included in the generated API docs
(./gradlew dokkaGenerateHtml).All artifacts are published under the com.strumenta.starlasu group.
| Artifact | Purpose |
|---|---|
starlasu-core | AST model, traversal, transformation, ANTLR-based parsing infrastructure |
starlasu-semantics | Symbol resolution: scopes, symbol descriptions, symbol resolver |
starlasu-lionweb | Conversion of ASTs and languages to and from LionWeb |
starlasu-lionweb-client | Storage of ASTs in a LionWeb repository |
starlasu-codebase | A codebase as a set of parsed files |
starlasu-javalib | Helpers for using Starlasu Kotlin from Java |
Starlasu is used to implement:
It serves as a general foundation for projects that need to manipulate or generate language structures.
Extend your AST classes from Node to automatically gain:
Starlasu began as a small framework to support building languages with ANTLR and Kotlin.
It has since evolved into a modular, cross-language toolkit used at Strumenta in both open-source and commercial projects for transpilers, interpreters, compilers, and related tools.
Add the dependency from Maven Central:
dependencies {
implementation "com.strumenta.starlasu:starlasu-core:1.7.x"
}
The lionweb module contains JMH microbenchmarks for the model-conversion
hot paths (importModelFromLionWeb, exportModelToLionWeb, tree traversal).
# Run all benchmarks
./gradlew :lionweb:jmh
# Run a specific class
./gradlew :lionweb:jmh --include "ImportModelBenchmark"
# Run with GCProfiler (allocation tracking) via the fat jar
./gradlew :lionweb:jmhJar
java -jar lionweb/build/libs/lionweb-jmh.jar ImportModelBenchmark
See lionweb/README.md for the full benchmark documentation.
Format the code using:
./gradlew ktlintFormat
Starlasu (and its predecessor Kolasu) are used in several internal and commercial projects developed at Strumenta.
If you need to publish a new release:
Set up GPG keys
brew install gnupg
gpg --gen-key
(no passphrase needed)
Export your keys:
gpg --keyring secring.gpg --export-secret-keys > ~/.gnupg/secring.gpg
Configure credentials
Add your Sonatype credentials to ~/.gradle/gradle.properties:
ossrhTokenUsername=your_username
ossrhTokenPassword=your_password
Publish the release
./gradlew release
Releases are handled automatically once triggered.
For detailed setup instructions, see
Publishing your first open-source library with Gradle.