Godot Copilot – AI-assistant for the Godot engine, supporting GPT-4
Hey HN! This is a pretty straightforward addon for folks that work with GDScript and like to do so within the Godot editor insted of VSCode. Integrating code-completions directly with the default code editor used within the engine. One advantage it has over Github Copilot is that it allows for usage of 3.5-turbo and gpt-4 (the latter performing better with GDScript than previous models), as well as davinci-003. It also features some prompt adjustments reducing the most common issues found when when requesting GDScript completions, which usually amount to the model either confusing 3.x and…
In plain words
Godot Copilot is an addon that brings AI-powered code completion directly into the Godot editor for GDScript developers. It supports GPT-4, GPT-3.5-turbo, and Davinci-003, with optimized prompts designed to reduce common issues like syntax confusion between Godot versions and hallucinated Python methods. The tool integrates code suggestions without requiring users to leave the engine, offering an alternative to external editors for game development workflows.
written from the facts on this page · September 2026
From the sources
In the maker’s words, at launch
Hey HN! This is a pretty straightforward addon for folks that work with GDScript and like to do so within the Godot editor insted of VSCode. Integrating code-completions directly with the default code editor used within the engine. One advantage it has over Github Copilot is that it allows for usage of 3.5-turbo and gpt-4 (the latter performing better with GDScript than previous models), as well as davinci-003. It also features some prompt adjustments reducing the most common issues found when when requesting GDScript completions, which usually amount to the model either confusing 3.x and 4.x syntax, or hallucinating python methods. Intention is for this to grow into a more complete AI-assistant that can automate various things like setting up scenes, generating textures/models etc.
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 · 17d ago · simedw.com
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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 · 27d ago · cactuscompute.com
Launched alongside, March 2023
the whole month →
- BI
I'm a big fan of the BBC podcast In Our Time -- and (like most people) I've been playing with the OpenAI APIs. In Our Time has almost 1,000 episodes on everything from Cleopatra to the evolution of teeth to plasma physics, all still available, so it's my starting point to learn about most topics. But it's not well organised. So here are the episodes sorted by library code. It's fun to explore. Web scraping is usually pretty tedious, but I found that I could send the minimised HTML to GPT-3 and get (almost) perfect JSON back: the prompt includes the Typescript definition. At the same time I…
AI · 2023 · genmon.github.io