Code generation, programming assistants

A cousin to neural automata: writing machines to code for us. We might also want to write code to speak for us, which ends up involving similar technology, i.e. large language models.

I am vaguely concerned about how much of the world is uploading their source code for everything to these code servers. The potential for abuse is huge.

Github copilot

GitHub Copilot uses suggestions from OpenAI Codex to suggest code completion.

Pro tip. behind a firewall, requires at least the following whitelist exceptions:


See Networked VS Code for some more whitelist rules we need for VS Code generally.



Codeium has been developed by the team at Exafunction to build on the industry-wide momentum on foundational models. We realized that the combination of recent advances in generative models and our world-class optimized deep learning serving software could provide users with top quality AI-based products at the lowest possible costs (or ideally, free!).


FauxPilot: Like GitHub Copilot without Microsoft telemetry • The Register

Updated GitHub Copilot, one of several recent tools for generating programming code suggestions with the help of AI models, remains problematic for some users due to licensing concerns and to the telemetry the software sends back to the Microsoft-owned company.

fauxpilot/fauxpilot: FauxPilot - an open-source alternative to GitHub Copilot server

This is an attempt to build a locally hosted alternative to GitHub Copilot. It uses the SalesForce CodeGen models inside of NVIDIA’s Triton Inference Server with the FasterTransformer backend.

Being able to work offline would be a real win; Copilot loves bandwidth too much.

Amazon CodeWhisperer

AI Code Generator - Amazon CodeWhisperer - AWS

Available as part of the AWS Toolkit for Visual Studio (VS) Code and JetBrains, CodeWhisperer currently supports Python, Java, JavaScript, TypeScript, C#, Go, Rust, PHP, Ruby, Kotlin, C, C++, Shell scripting, SQL and Scala. In addition to VS Code and the JetBrains family of IDEs—including IntelliJ, PyCharm, GoLand, CLion, PhpStorm, RubyMine, Rider, WebStorm, and DataGrip—CodeWhisperer is also available for AWS Cloud9, AWS Lambda console, JupyterLab and Amazon SageMaker Studio.

Free for individual use.


Querying Glean:

Glean is a system for working with facts about source code. It is designed for collecting and storing detailed information about code structure, and providing access to the data to power tools and experiences from online IDE features to offline code analysis.

For example, Glean could answer all the questions you’d expect your IDE to answer, accurately and efficiently on a large-scale codebase. Things like:

  • Where is the definition of this method?
  • Where are all the callers of this function?
  • Who inherits from this class?
  • What are all the declarations in this file?


Beurer-Kellner, Luca, Marc Fischer, and Martin Vechev. 2022. Prompting Is Programming: A Query Language For Large Language Models.” arXiv.
Bubeck, Sébastien, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, et al. 2023. Sparks of Artificial General Intelligence: Early Experiments with GPT-4.” arXiv.
Din, Alexander Yom, Taelin Karidi, Leshem Choshen, and Mor Geva. 2023. Jump to Conclusions: Short-Cutting Transformers With Linear Transformations.”
Suzgun, Mirac, Nathan Scales, Nathanael Schärli, Sebastian Gehrmann, Yi Tay, Hyung Won Chung, Aakanksha Chowdhery, et al. 2022. Challenging BIG-Bench Tasks and Whether Chain-of-Thought Can Solve Them.” arXiv.
Wang, Xuezhi, Jason Wei, Dale Schuurmans, Quoc Le, Ed Chi, Sharan Narang, Aakanksha Chowdhery, and Denny Zhou. 2023. Self-Consistency Improves Chain of Thought Reasoning in Language Models.” arXiv.

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