Coding requires creativity. Anyone who says otherwise, is probably from the product team.😝
This means it can sometimes feel like a maze with no end in sight, especially when inspiration doesn't strike at the right moment.
Now, what if you were Din Djarin from Mandalorian and you had Grogu by your side in the time of need?
With me?
These coding copilots might not be your new best friend but tools like these can help you code faster, debug smarter, and keep your projects on track.
Well, why a list of Copilots?
Copilots improve developer productivity, and as an OpenSource tool which improves dev productivity and team's efficiency ourselves we thought why not bring more awareness to some real badass Copilots out there!
✨ Open-source dev productivity platform for engineering teams ✨
Open-source engineering management that unlocks developer potential
Introduction
Middleware is an open-source tool designed to help engineering leaders measure and analyze the effectiveness of their teams using the DORA metrics. The DORA metrics are a set of four key values that provide insights into software delivery performance and operational efficiency.
They are:
Deployment Frequency: The frequency of code deployments to production or an operational environment.
Lead Time for Changes: The time it takes for a commit to make it into production.
Mean Time to Restore: The time it takes to restore service after an incident or failure.
Change Failure Rate: The percentage of deployments that result in failures or require remediation.
This is an issues-only repo for Cursor, an editor made for programming with AI.
Creating new tickets for bugs or feature requests is much appreciated 🙂 Feel free to react to the ones you'd like us to prioritize. Our goal is to make Cursor work great for you, and your feedback is super helpful.
Getting Started
Head over to our website to download and try out the editor.
Features
It's early days, but right now Cursor can help you with a few things...
Chat: Talk with a bot that understands your entire code base
Edit: Ask the AI to change a block of code, see an inline diff of the edits
Debug: Hover over linter errors or stack traces to auto-fix them
Tabnine has been around for a while and has evolved with the times, integrating GPT-4o, Tabnine+Mistral, Codestral & Claude 3 for quite powerful code suggestions.
This is the repository for the backend of TabNine, the all-language autocompleter
There are no source files here because the backend is closed source.
You can make feature requests by filing an issue. You are also welcome to make pull requests for changes to the configuration files.
languages.yml determines which file extensions are considered part of the same language. (For example, identifiers from .c files will be suggested in .h files.)
language_tokenization.json determines how languages are tokenized. For example, identifiers can contain dashes in Lisp, but not in Java.
If your feature request is specific to a particular editor's TabNine client, please file an issue in one of these repositories:
Security-Conscious: SOC2 compliance + strong privacy policy against training models on customer's code
Supports Multiple Languages: Fluent in over 25 programming languages.
3. Cody by SourceGraph
Wise and powerful(like Yoda I guess), SourceGraph is all about searching and analyzing your codebase, helping you build deeper insights and understanding.
Aider lets you pair program with LLMs
to edit code in your local git repository
Start a new project or work with an existing git repo.
Aider can connect to almost any LLM.
and works best with GPT-4o, Claude 3.5 Sonnet, Claude 3 Opus and DeepSeek Coder V2.
Getting started
You can get started quickly like this:
$ pip install aider-chat
# Change directory into a git repo
$ cd /to/your/git/repo
# Work with GPT-4o on your repo
$ export OPENAI_API_KEY=your-key-goes-here
$ aider
# Or, work with Anthropic's models
$ export ANTHROPIC_API_KEY=your-key-goes-here
# Claude 3 Opus
$ aider --opus
# Claude 3.5 Sonnet
$ aider --sonnet
Real-Time Assistance: Offers help as you code, making debugging and coding faster and easier. Think auto-complete on steroids. Oh yes, I did just say that.
Good UI: Simple and intuitive.
Wrapping Up
There you have it folks, AI coding copilots to help you conquer the world.
Also, make sure to check out our Open Source repo and leave a star if you're all about developer productivity as well.
And don't forget to drop a comment below—I'd love to hear about your experiences with these AI copilots!
✨ Open-source dev productivity platform for engineering teams ✨
Open-source engineering management that unlocks developer potential
Introduction
Middleware is an open-source tool designed to help engineering leaders measure and analyze the effectiveness of their teams using the DORA metrics. The DORA metrics are a set of four key values that provide insights into software delivery performance and operational efficiency.
They are:
Deployment Frequency: The frequency of code deployments to production or an operational environment.
Lead Time for Changes: The time it takes for a commit to make it into production.
Mean Time to Restore: The time it takes to restore service after an incident or failure.
Change Failure Rate: The percentage of deployments that result in failures or require remediation.