Built a CLI tool that gives ChatGPT full context of your Java project so you can actually plan new features with it
By Holidays in Europe / March 28, 2026 / No Comments / Uncategorized
Enhancing AI-Assisted Java Development with JCTX: A Command-Line Tool for Context-Aware Coding
In the rapidly evolving landscape of software development, leveraging AI tools like ChatGPT, Claude, or Gemini has become increasingly popular for streamlining coding tasks, debugging, and planning new features. However, a common challenge persists: these AI assistants often lack the contextual knowledge of your specific Java project, limiting their usefulness in providing accurate and relevant guidance.
Addressing the Context Gap in AI Assistance
When seeking help on adding features or refactoring code, developers typically face a dilemma. They might share extensive snippets or multiple files in the chat, which quickly becomes unwieldy and sometimes fails to convey the full picture. Alternatively, the AI’s suggestions may be generic or misaligned with your project’s architecture, reducing their effectiveness.
Introducing JCTX: Your Project Context Companion
To overcome this obstacle, I developed JCTX, a command-line utility designed to furnish AI models with comprehensive insight into your Java projects. This tool captures the entire codebase structure, including class hierarchies, interfaces, method signatures, fields, comments, and relevant build configurations—specifically, the pom.xml file for Maven projects.
How JCTX Works
- Project Analysis: JCTX scans your Java source files, extracting detailed information about your codebase.
- Context Generation: It compiles this data into a formatted
context.txtfile, encapsulating the full structure and documentation of your project. - Integration with AI: You incorporate this context at the start of your AI chat sessions, giving the assistant a solid understanding of your code.
By doing so, your AI interactions become more targeted and meaningful—allowing it to suggest feature designs, identify relevant classes for modification, or propose refactoring strategies based on the actual structure of your project.
Benefits of Using JCTX
- Accurate Guidance: Receive recommendations grounded in your project’s real architecture.
- Efficiency: Save time by avoiding the need to manually share multiple files or explain complex structures.
- Improved Planning: Better plan feature integrations and refactors with a clear understanding of existing code.
Get Started Today
JCTX is open-source and freely available on GitHub. It includes a Windows installer for easy setup, making it accessible regardless of your development environment.
Explore the repository here: https://github.com/Shashwat-Gupta57/Jctx
Harness the power of AI with richer, context-aware insights—transform your Java development workflow with JCTX.