nowfound

AI · May 20, 2025

JI

JavaFactory – IntelliJ plugin to generate Java code

Hi HN, I built a code generator plugin for IntelliJ that uses LLMs to create repetitive Java code like implementations, tests, and fixtures — based on custom natural-language patterns and annotation-based references. Most tools like Copilot or Cursor aim to be general, but fail to produce code that actually fits a project structure or passes tests. So I made something more explicit: define patterns + reference scope, and generate code consistently. In this demo, 400 lines of Java were generated in 20 seconds — and all tests passed: https://www.youtube.com/watch?v=ReBCXKOpW3M…

In plain words

JavaFactory is an IntelliJ plugin that generates repetitive Java code such as implementations, tests, and fixtures using large language models. It works by defining custom natural-language patterns and annotation-based references to consistently produce code that fits project structure and passes tests. The plugin targets Java developers seeking to automate boilerplate code generation with predictable, project-specific results rather than general-purpose AI assistants.

written from the facts on this page · September 2026

From the sources

In the maker’s words, at launch

Hi HN, I built a code generator plugin for IntelliJ that uses LLMs to create repetitive Java code like implementations, tests, and fixtures — based on custom natural-language patterns and annotation-based references. Most tools like Copilot or Cursor aim to be general, but fail to produce code that actually fits a project structure or passes tests. So I made something more explicit: define patterns + reference scope, and generate code consistently. In this demo, 400 lines of Java were generated in 20 seconds — and all tests passed: https://www.youtube.com/watch?v=ReBCXKOpW3M GitHub: https://github.com/JavaFactoryPluginDev/javafactory-plugin

More ai this month

the category →
  • I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.

    AI · 16d ago · simedw.com

  • Astute585

    Automate your B2B brand going viral, with new media creators

    AI · 18d ago · company-app.joinastute.com

  • Grok Bot547

    AI teammates that you can give real work to

    AI · 25d ago · x.ai

  • Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…

    AI · 26d ago · cactuscompute.com

  • Make your software self-driving

    AI · 30d ago · coldtea.ai

  • Soloop472

    Approval-first Agent OS for solo founders

    AI · 30d ago · soloop.io

Launched alongside, May 2025

the whole month →