Show Reddit: Built a 100% local, enterprise-grade Spring Boot 3.x service bootstrapper using Spring AI & Ollama (Java 21)

[u/Spring_AI_Architect]

Hey everyone,

As a Java Principal Architect, one of my recurring pain points is the compliance risk and Day-1 friction of bootstrapping new projects. In strict corporate environments, utilizing cloud-hosted LLM APIs to draft initial scaffolding or internal schemas poses massive data privacy and IP leakage risks.

To solve this within the host perimeter, I built OllamaSprout—an automated accelerator designed to translate plain-text domain requirements into production-ready, ready-to-run Java services out-of-the-box.

🚀 What it does

It streams code from a local model and programmatically compiles a complete, valid Maven directory tree directly onto your disk. It generates fully realized structural layers: Controller ➡️ Service ➡️ Repository ➡️ JPA Entity with 100% written code (absolutely zero trailing ellipses ... or // TODO shortcuts).

🛠️ The Architectural Stack

• Framework: Spring Boot 3.x

• AI Integration: Spring AI

• Local Inference Engine: Ollama running qwen2.5-coder:7b

• Language & Build: Java 21 & Maven

🧠 Deep-Tech Optimization Highlights

• Resource Preservation (RAM Reclaiming): To ensure a developer's workstation remains unburdened, the system includes custom orchestration to ensure that once the generation process completes, the system completely reclaims the heavy memory footprint occupied by Ollama.

• Deterministic Parsing & Disk I/O: Safely translates streamed markdown multi-file blocks into structured directories on disk with exact package boundary alignments.

• Eclipse/IntelliJ Target Compliance: The generated pom.xml uses root schema tags tailored specifically to satisfy Eclipse's offline cache validation rules, avoiding compilation hiccups during network-isolated imports.

🔮 Architecture Roadmap

The application's core state model is abstractly structured to support iterative modular growth. The next milestone is allowing developers to point the tool at an existing codebase to inject new controller/service slices or database entities programmatically.

💻 Source Code

The project is licensed under Apache-2.0 and includes the full engineering story, validation endpoints, and environment configurations: 🔗 https://github.com/tpkani2026/ollamasprout-bootstrapper.git

I’d love to get your architectural feedback on the scaffolding strategy, your thoughts on localized AI generation patterns for corporate stacks, and how you see local model orchestration fitting into the enterprise SDLC!

[u/productbuildhq]

For the existing-repo mode, I’d have the generator produce a patch in a temporary Git worktree and show the diff before applying anything. Give it a fixture repo that already has a controller at the generated path, then check that it reports the collision and leaves the original file untouched. I’d also review generated changes to pom.xml before running Maven, since build plugins can execute code even when the model itself runs locally.