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neooutput

Claude Code for Java and Spring: a workshop for backend teams with mature codebases

Java codebases tend to be large, modular and shaped by years of decisions. That is where Claude Code can save a lot of routine work, but only if it understands module boundaries, build profiles and house conventions. The neooutput workshop skips toy demos and starts with your repository: we configure the agent so it knows your build commands, runs tests on its own and delivers changes in steps your reviewers can actually follow.

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In short

A Claude Code workshop for Java and Spring teams teaches developers how Anthropic's coding agent can write tests, prepare refactorings and change Spring configuration safely inside Maven or Gradle projects. neooutput runs it on your own repository, with a project-specific CLAUDE.md, explicit permissions and a review process that fits your pull request workflow.

Your benefits

Build knowledge in the repo

A CLAUDE.md documents Maven or Gradle commands, modules and test profiles so the agent stops guessing.

Tests before refactoring

Developers practise letting the agent generate JUnit and Spring Boot tests first, then restructuring code.

Permissions under control

Plan mode, shell command approvals and hooks limit what Claude Code may run without asking.

A repeatable review process

You get a playbook for reviewing agent-generated pull requests before they reach the main branch.

What makes Java different

Generic AI training usually relies on small Python or JavaScript snippets. Java teams deal with long builds, multi-module layouts, dependency injection, environment-specific profiles and strict typing. An agent that ignores this structure produces code that compiles but lands in the wrong layer.

During the workshop your engineers learn to scope Claude Code to a single module, hand it the right build commands and delegate focused jobs such as test generation or migration analysis to subagents.

A typical example is moving from javax to jakarta packages or replacing XML configuration with Java configuration. These tasks touch hundreds of files yet follow clear rules. Claude Code can work through them in small, verifiable batches, provided the rules are defined upfront and the build runs after every batch. Each pull request stays manageable for reviewers, and any failure can be traced to a specific step. This is the discipline we practise in the workshop so the team can keep it up without us.

How the day runs

neooutput's AI code engineers prepare using an overview of your repository. Sessions take place remotely or on site.

  1. We review your build setup, test layout and branching model and draft an initial CLAUDE.md.
  2. The whole team solves one real ticket together, for example a new REST endpoint with validation and tests.
  3. Each participant then takes an individual task such as a refactoring or a library upgrade.
  4. We add hooks that run formatting and tests after every change the agent makes.
  5. We finish by writing down rules for reviews, permissions and headless use in CI.

Sensitive data and knowledge beyond the codebase

Logs, test fixtures and tickets often contain personal data. Textwash Pro can anonymise that text automatically before it ends up in a prompt, which lowers GDPR exposure without slowing the team down.

If architecture documents, wikis or runbooks should become searchable across the company, kalAIDoCreate is a sensible next step: an AI knowledge assistant for business documents that sits alongside, not inside, the development workflow.

Frequently asked questions

Does Claude Code work with older Java and Spring versions?

Yes. Claude Code edits files and calls whatever build tools your project already uses. What matters is that versions, commands and constraints are written down in CLAUDE.md. For upgrades to newer Spring releases, the agent can proceed step by step as long as a test suite acts as a safety net.

Do we need IntelliJ IDEA for the workshop?

No. Claude Code runs in the terminal and works next to IntelliJ IDEA, Eclipse or VS Code. Most teams keep their IDE for debugging and navigation and use the agent for changes that span many files.

Can neooutput help after the workshop?

Yes. neooutput's AI code engineers can support the first weeks, review agent-generated code or take on specific implementation work. A free 15-minute intro call helps decide what scope makes sense.