spring-ai

by eazybytesVerified

From Java Dev to AI Engineer: Spring AI Fast Track

152
Stars
190
Forks
Java
Language
8/23/2026
Added
View on GitHubDownload ZIP

⚠️ Third-Party Software Notice

This skill is third-party open-source software developed and hosted independently on GitHub. SkillTip is an informational directory and does not control or maintain the underlying repository. Any security checks displayed are automated and limited in scope. Review the source code before installing.

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Installation

Add to your Claude Code skills directory:

# Add to your Claude Code skills
git clone https://github.com/eazybytes/spring-ai

Getting Started

Guides for using skills like spring-ai.

Security Report

Verified

Last scanned: —

{
  "status": "PASSED",
  "issues": []
}

README.md

From Java Dev to AI Engineer: Spring AI Fast Track

🌱 Spring AI Course – Resources & Reference Links

Welcome to the official GitHub repository for the Spring AI Course. This course helps you build intelligent applications using the Spring AI framework and integrate powerful LLMs like OpenAI into your Spring Boot apps.

Below are some carefully curated reference links and tools used throughout the course. Bookmark this information for quick access during development and exploration.


📘 Official Documentation


🤖 AI Providers & Runtimes

  • Ollama
    Run open-source large language models (LLMs) locally on your machine with simple commands.

  • AWS Bedrock
    Access foundation models from various providers via a fully managed AWS service.

  • Docker Desktop
    Essential for running local AI model runtimes and Docker Compose setups used in the course.

  • Docker Model Runner
    Use Docker’s official tool for running and managing AI models locally.


📚 Foundational Papers & Tools


📦 Vector Store & MCP


📊 Observability & Monitoring Tools

  • Prometheus
    Monitoring and alerting toolkit for collecting Spring Boot and AI app metrics.

  • Micrometer
    Java metrics collection library used with Spring Boot to expose observability data.

  • OpenTelemetry
    Industry-standard framework for distributed tracing and telemetry data.

  • Grafana
    Visualization tool for creating dashboards from Prometheus and other data sources.

  • Jaeger Tracing
    Distributed tracing platform used to trace and monitor AI request flows.


📎 Stay Connected


📬 For questions or issues, raise a GitHub issue or connect with the course instructor

Happy Learning! 🚀

Frequently Asked Questions

What is spring-ai?

spring-ai is an open-source mcp servers skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by eazybytes. From Java Dev to AI Engineer: Spring AI Fast Track. It has 152 GitHub stars.

Is spring-ai safe to use?

Yes. spring-ai passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install spring-ai?

Clone the repository with "git clone https://github.com/eazybytes/spring-ai" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is spring-ai written in?

spring-ai is primarily written in Java. It is open-source under eazybytes on GitHub, so you can review or fork the full source.

Are there alternatives to spring-ai?

Yes. SkillsLLM lists many other MCP Servers skills you can browse and compare side by side. Open the MCP Servers category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh spring-ai against similar tools.

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