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UnitGen 是一个用于生成微调代码的数据框架 —— 直接从你的代码库中生成微调数据:代码补全、测试生成、文档生成等。

Docs: https://gen.unitmesh.cc/

Thanks to OpenBayes for providing computing resources.

Finetune Model Examples:

name model download (HuggingFace) finetune Notebook model download (OpenBayes)
DeepSeek 6.7B unit-mesh/autodev-coder finetune.ipynb AutoDev Coder

Language support by Chapi

  • supported:
    • Java
    • Kotlin
  • doing:
    • TypeScript/JavaScript
    • Rust
  • future:
    • Go
    • Python
    • C/C++
    • C#
    • Scala



Layered Architecture



UnitGen Workflow

Design Philosophy

  • Unique prompt. Integrated use of fine-tuning, evaluation, and tooling.
  • Code quality pipeline. With estimate with code complex, bad smell, test bad smell, and more rules.
  • Extendable customize quality thresholds. Custom rules, custom thresholds, custom quality type or more.

Unique Prompt

Keep the same prompt: AutoDev <-> UnitGen <-> UnitEval

AutoDev prompt

AutoDev prompt template example:

Write unit test for following code.





Unit Picker prompt

Unit Picker prompt should keep the same structure as the AutoDev prompt. Prompt example:

val input = "$relatedCode\n\nCode:\n```${language}\n$beforeCursor\n```"
return Instruction(
    instruction = "Complete $language code, return rest code, no explaining",
    output = output,
    input = input

UnitGen prompt

UnitGen prompt should keep the same structure as the AutoDev prompt. Prompt example:

Complete ${language} code, return rest code, no explaining



Code quality pipeline

Code Quality Workflow

Extendable customize quality thresholds

Optional quality type:

enum class CodeQualityType {

Custom thresholds’ config:

data class BsThresholds(
    val bsLongParasLength: Int = 5,
    val bsIfSwitchLength: Int = 8,
    val bsLargeLength: Int = 20,
    val bsMethodLength: Int = 30,
    val bsIfLinesLength: Int = 3,

Custom rules:

val apis = apiAnalyser.toContainerServices()
val ruleset = RuleSet(
    // more rules

val issues = WebApiRuleVisitor(apis).visitor(listOf(ruleset))
// if issues are not empty, then the code has bad smell

Thanks to

  • abstract syntax tree: Chapi. Used features: multiple language to same data structure.
  • legacy system analysis: Coca. Inspired: Bad Smell, Test Bad Smell
  • architecture governance tool: ArchGuard. Used features: Estimation, Rule Lint (API, SQL)
  • code database CodeDB. Used features: Code analysis pipeline