11 Open-Source Projects That Will Rocket Your Resume 🚀 (Jumpstart Your Career in 2024! 🌟✨)
Tags: webdev, programming, career, beginners
Published: 2023-12-18 21:10:34

# TL;DR
How can you give your coding career a mega boost? 

Contributing to Open Source projects can get you noticed by the right people.

I've selected a range of projects that will level up your skills and real-world experience, making your resume stand out to potential employers. Perfect for developers at any stage, contributing to these projects will expand your tech toolkit and propel your professional journey forward.

DON'T FORGET TO STAR & SUPPORT THEM 🌟

![Contribute to OSS!](https://i.imgflip.com/89rvo4.jpg)

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## Fuel the AI revulotion 🔥🤖
### 1. [Pezzo](https://github.com/pezzolabs/pezzo)

Pezzo is an Open Source LLMOps platform, built for full stack developers with first class TypeScript support.

Pezzo is the fastest growing Open Source LLMOps platform, used by dozens of product teams to build, monitor, and ship AI features with confidence. 

{% cta https://github.com/pezzolabs/pezzo %} ⭐️ Pezzo on Github {% endcta %}

{% embed https://github.com/pezzolabs/pezzo %}

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### 2. [CopilotKit](https://github.com/CopilotKit/CopilotKit)

CopilotKit is an open-source platform designed to accelerate the development of copilot applications.

This is an infrastructure that makes it way easier to integrate key AI features into React apps. 

{% cta https://github.com/CopilotKit/CopilotKit %} ⭐️ CopilotKit on Github {% endcta %}

{% embed https://github.com/CopilotKit/CopilotKit %}

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### 3. [GPT-researcher](https://github.com/assafelovic/gpt-researcher)

GPT Researcher is an autonomous agent designed for comprehensive online research on a variety of tasks.

This is a great project that I mainly use as a search engine for AI agents, I love using it and even have a tutorial showing how you can use it too!
{% embed https://dev.to/matan_abramovich/build-an-ai-assistant-with-real-time-web-access-in-100-lines-of-code-using-python-and-gpt-4-3l1a %}

{% cta https://github.com/assafelovic/gpt-researcher %} ⭐️ gpt-researcher on Github {% endcta %}

{% embed https://github.com/assafelovic/gpt-researcher %}

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### 4. [Swirl](https://github.com/swirlai/swirl-search)

This search engine is unique because on top of getting data off the web you can connect it directly to your database (SQL, NoSQL, Google BigQuery) or enterprise sources(Microsoft 365, Jira, Miro, etc.). It will search multiple content sources and return AI ranked results. 

{% cta https://github.com/swirlai/swirl-search %} ⭐️ Swirl on Github {% endcta %}

{% embed https://github.com/swirlai/swirl-search %}

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### 5. [pgvector](https://github.com/pgvector/pgvector)

Generative AI models can use a special type of data structure called "embeddings" to make any use out of this we need to use a vector database. 
With pgvector extension, you can leverage PostgreSQL as a vector database to store and query LLM generated embeddings.

{% cta https://github.com/pgvector/pgvector %} ⭐️ pgvector on Github {% endcta %}

{% embed https://github.com/pgvector/pgvector %}

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## Drive DevOps Evolution 🔄💡
### 6. [Digger](https://github.com/diggerhq/digger)

Digger is an open-source alternative to Terraform Cloud. It makes it easy to run terraform plan and apply in the CI / CD platform you already have, such as Github Actions.

{% cta https://github.com/diggerhq/digger %} ⭐️ Digger on Github {% endcta %}

{% embed https://github.com/diggerhq/digger %}

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### 7. [Logstash](https://github.com/elastic/logstash)

Logstash is a free and open server-side data processing pipeline that ingests data from a multitude of sources, transforms it, and then sends it to your favorite "stash".

It's developed by [Elastic](https://www.elastic.co/), a name that anyone would like to add to their resume.

{% cta https://github.com/elastic/logstash %} ⭐️ Logstash on Github {% endcta %}

{% embed https://github.com/elastic/logstash %}

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### 8. [GO Feature Flag](https://github.com/thomaspoignant/go-feature-flag)

This one is for those looking to get some Golang experience!

Feature flags let you modify system behavior without changing code. Reduce risk by releasing your features progressively.

{% cta https://github.com/thomaspoignant/go-feature-flag %} ⭐️ GO Feature Flag on Github {% endcta %}

{% embed https://github.com/thomaspoignant/go-feature-flag %}

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### 9. [bytebase](https://github.com/bytebase/bytebase)

Bytebase is a Database CI/CD solution, you can say it's GitLab/GitHub for Database DevOps, built for developers, DBAs and platform teams.

{% cta https://github.com/bytebase/bytebase %} ⭐️ bytebase on Github {% endcta %}

{% embed https://github.com/bytebase/bytebase %}

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## Create SaaS Wonders 👨‍💻🎉
### 10. [Novu](https://github.com/novuhq/novu)

Novu is an open-source notification infrastructure built for engineering teams to help them build rich product notification experiences without constantly reinventing the wheel.

{% cta https://github.com/novuhq/novu %} ⭐️ Novu on Github {% endcta %}

{% embed https://github.com/novuhq/novu %}

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### 11. [Wasp](https://github.com/wasp-lang/wasp)

Wasp (Web Application Specification) is a Rails-like framework for React, Node.js, and Prisma.


{% cta https://github.com/wasp-lang/wasp %} ⭐️ Wasp on Github {% endcta %}

{% embed https://github.com/wasp-lang/wasp %}

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![end, remote](https://media.giphy.com/media/xUPOqo6E1XvWXwlCyQ/giphy.gif)

Each project you choose to contribute to not only enhances your skillset but also leaves your unique imprint on the technology landscape. 

And as important- Donating code will make you part of a community that thrives on collaboration, creativity, and forward-thinking.

### Don't forget to like, comment and bookmark 🫡