GSoC 2026 Predictions: 30 NEW AI/ML/Security Organizations You Should Start Contributing to NOW!

Google announced expanded AI/Security/ML focus for GSoC 2026. Here are my predictions for the 30 new organizations joining, complete with GitHub links and contribution strategies

Hey developers!

If you're like me, you've been refreshing the GSoC page waiting for the 2026 organization announcement. Well, I couldn't wait either, so I did some detective work!

Big News: Google announced they're expanding their focus on AI, Security, and Machine Learning for GSoC 2026, welcoming approximately 30 new organizations to join the program.

After analyzing industry trends, GitHub stars, community engagement, and the tech landscape, here are my bold predictions for which organizations will join GSoC 2026!

⚠️ Disclaimer: These are PREDICTIONS based on Google's announcement and current trends. Official organizations will be announced on February 27, 2026. But why wait? Start contributing NOW!

** Quick Stats Before We Dive In**

• Total Predicted New Orgs: 30


• Focus Areas: AI/ML (10), Security (6), AI+Security (4), Emerging Tech (10)


• Most Common Language: Python (appears in 24/30 orgs!)


• Second Most Common: Go (12/30 orgs)


• Dark Horse: Rust (5/30 orgs - growing fast!)

🤖 Part 1: AI/ML Powerhouses (10 Organizations)

1. 🤗 Hugging Face
   Why They're Perfect for GSoC: The GitHub of AI models with 100k+ stars across repos

Focus: Transformers, NLP, LLMs, Model Hub

Languages: Python, PyTorch, Rust

GitHub:

• Main: https://github.com/huggingface/transformers ⭐ 135k+


• Datasets: https://github.com/huggingface/datasets
  


• Diffusers: https://github.com/huggingface/diffusers
  

Why Join GSoC: Dominant player in open-source AI, massive community, educational mission

Getting Started:

• Browse "good first issue" labels


• Contribute to documentation (always needed!)


• Join their Discord: https://discuss.huggingface.co
  

Potential Projects: Model optimization, new tokenizers, inference improvements

1. 🦜⛓️ LangChain
   The Hottest Framework in AI Right Now

Focus: LLM application frameworks, agents, chains

Languages: Python, TypeScript/JavaScript

GitHub:

• Python: https://github.com/langchain-ai/langchain ⭐ 96k+


• JS/TS: https://github.com/langchain-ai/langchainjs ⭐ 13k+


• Templates: https://github.com/langchain-ai/langchain/tree/master/templates
  

Why Join GSoC: Fastest-growing LLM framework, huge community demand

Getting Started:

• Check issues tagged "good first issue" or "help wanted"


• Build a simple chain and document it


• Join Discord: https://discord.gg/langchain
  

Potential Projects: New integrations, prompt templates, testing frameworks

1. 🎨 Stability AI
   Open-Source Generative AI Leaders

Focus: Generative AI, Stable Diffusion, Image/Video Generation

Languages: Python, PyTorch, CUDA

GitHub:

• Stable Diffusion: https://github.com/Stability-AI/StableDiffusion ⭐ 39k+


• GenerativeModels: https://github.com/Stability-AI/generative-models ⭐ 24k+


• StableStudio: https://github.com/Stability-AI/StableStudio
  

Why Join GSoC: Commitment to open-source, cutting-edge research

Getting Started:

• Run models locally first


• Improve documentation or examples


• Optimize inference code

Potential Projects: Model compression, new architectures, UI improvements

1. 🔬 Anthropic (Claude)
   AI Safety & Responsible AI

Focus: AI safety, constitutional AI, interpretability

Languages: Python, Rust

GitHub:

• Anthropic Cookbook: https://github.com/anthropics/anthropic-cookbook ⭐ 6k+


• Python SDK: https://github.com/anthropics/anthropic-sdk-python ⭐ 1.8k+


• TypeScript SDK: https://github.com/anthropics/anthropic-sdk-typescript
  

Why Join GSoC: Growing open-source presence, focus on safety aligns with educational goals

Getting Started:

• Study the cookbook examples


• Contribute new use cases


• Improve SDK documentation

Potential Projects: Safety tools, prompt engineering helpers, evaluation frameworks

1. ⚡ Ray Project (Anyscale)
   Distributed Computing for ML

Focus: Distributed ML, reinforcement learning, hyperparameter tuning

Languages: Python, C++

GitHub:

• Main: https://github.com/ray-project/ray ⭐ 34k+


• RLlib: https://github.com/ray-project/ray/tree/master/rllib
  


• Tune: https://github.com/ray-project/ray/tree/master/python/ray/tune
  

Why Join GSoC: Critical infrastructure for scaling ML workloads

Getting Started:

• Start with Ray Core tutorials


• Fix documentation issues


• Join community Slack

Potential Projects: New algorithms for RLlib, distributed training improvements, monitoring tools

1. 🔄 MLflow (Databricks)
   The Standard for ML Lifecycle Management

Focus: Experiment tracking, model registry, deployment

Languages: Python, Java, R

GitHub:

• Main: https://github.com/mlflow/mlflow ⭐ 19k+


• Examples: https://github.com/mlflow/mlflow/tree/master/examples
  

Why Join GSoC: Industry standard, backed by Databricks, huge adoption

Getting Started:

• Set up local MLflow server


• Contribute examples for new frameworks


• Join community Slack: https://mlflow.org/slack
  

Potential Projects: New integrations, UI improvements, deployment plugins

1. 📊 Weights & Biases
   ML Experiment Tracking & Collaboration

Focus: Experiment tracking, visualization, collaboration

Languages: Python, JavaScript/React, Go

GitHub:

• Client: https://github.com/wandb/wandb ⭐ 9k+


• Examples: https://github.com/wandb/examples
  


• Weave: https://github.com/wandb/weave
  

Why Join GSoC: Developer-focused tools, great for learning MLOps

Getting Started:

• Use W&B in personal projects


• Contribute integration examples


• Join community: https://wandb.ai/community
  

Potential Projects: New framework integrations, dashboard features, SDK improvements

1. 🔀 ONNX Runtime (Microsoft)
   Cross-Platform ML Inference

Focus: Model inference optimization, cross-platform deployment

Languages: C++, Python, C#

GitHub:

• Main: https://github.com/microsoft/onnxruntime ⭐ 15k+


• Models: https://github.com/onnx/models
  


• Web: https://github.com/microsoft/onnxruntime/tree/main/js/web
  

Why Join GSoC: Microsoft backing, critical for production ML

Getting Started:

• Convert models to ONNX format


• Run benchmarks


• Improve documentation

Potential Projects: Hardware acceleration, model optimization, mobile deployment

1. 🎓 fastai
   Making Deep Learning Accessible

Focus: Accessible deep learning, education, practical ML

Languages: Python, PyTorch

GitHub:

• fastai: https://github.com/fastai/fastai ⭐ 26k+


• fastbook: https://github.com/fastai/fastbook ⭐ 22k+


• course-v5: https://github.com/fastai/course22
  

Why Join GSoC: Educational mission perfectly aligns with GSoC goals

Getting Started:

• Complete the fastai course


• Contribute to documentation


• Join forums: https://forums.fast.ai
  

Potential Projects: New tutorials, library improvements, course materials

1. 🔤 spaCy / Explosion AI
   Industrial-Strength NLP

Focus: Production NLP, named entity recognition, text processing

Languages: Python, Cython

GitHub:

• spaCy: https://github.com/explosion/spaCy ⭐ 30k+


• Prodigy: https://github.com/explosion/prodigy-recipes
  


• Thinc: https://github.com/explosion/thinc
  

Why Join GSoC: Leading NLP library, excellent documentation culture

Getting Started:

• Work through spaCy 101


• Add language support


• Join discussions: https://github.com/explosion/spaCy/discussions
  

Potential Projects: New language models, pipeline components, integrations

🔒 Part 2: Security Organizations (6 Organizations)

1. 🦅 Falco (CNCF)
   Cloud-Native Runtime Security

Focus: Kubernetes security, threat detection, runtime monitoring

Languages: C++, Go

GitHub:

• Main: https://github.com/falcosecurity/falco ⭐ 7.5k+


• Plugins: https://github.com/falcosecurity/plugins
  


• Rules: https://github.com/falcosecurity/rules
  

Why Join GSoC: CNCF project, critical cloud security tool

Getting Started:

• Deploy Falco in local Kubernetes


• Write custom rules


• Join Slack: https://kubernetes.slack.com (#falco)

Potential Projects: New detection rules, plugin development, performance optimization

1. 🔍 Trivy (Aqua Security)
   Comprehensive Container Security Scanner

Focus: Container security, vulnerability scanning, IaC scanning

Languages: Go

GitHub:

• Main: https://github.com/aquasecurity/trivy ⭐ 24k+


• Plugins: https://github.com/aquasecurity/trivy-plugin-aqua
  


• DB: https://github.com/aquasecurity/trivy-db
  

Why Join GSoC: Most popular container scanner, active development

Getting Started:

• Scan containers in your projects


• Add new scanners or detectors


• Join discussions: https://github.com/aquasecurity/trivy/discussi
  ons

Potential Projects: New language support, policy engines, CI/CD integrations

1. 🎯 Semgrep (r2c)
   Fast, Flexible Static Analysis

Focus: Static analysis, code security, custom rules

Languages: Python, OCaml

GitHub:

• Main: https://github.com/semgrep/semgrep ⭐ 11k+


• Rules: https://github.com/semgrep/semgrep-rules ⭐ 2k+


• VSCode: https://github.com/semgrep/semgrep-vscode
  

Why Join GSoC: Modern approach to code security, great docs

Getting Started:

• Write custom Semgrep rules


• Scan your own code


• Join community: https://go.semgrep.dev/slack
  

Potential Projects: New language support, IDE plugins, rule libraries

1. 💥 Nuclei (ProjectDiscovery)
   Fast Vulnerability Scanner

Focus: Vulnerability scanning, templates, automation

Languages: Go

GitHub:

• Main: https://github.com/projectdiscovery/nuclei ⭐ 21k+


• Templates: https://github.com/projectdiscovery/nuclei-templates ⭐ 10k+


• Docs: https://github.com/projectdiscovery/nuclei-docs
  

Why Join GSoC: Huge template library, active community

Getting Started:

• Write custom templates


• Contribute to template library


• Join Discord: https://discord.gg/projectdiscovery
  

Potential Projects: New detection logic, automation features, integration tools

1. 🎭 Metasploit (Rapid7)
   The Penetration Testing Framework

Focus: Penetration testing, exploits, security research

Languages: Ruby, Python, C

GitHub:

• Framework: https://github.com/rapid7/metasploit-framework ⭐ 34k+


• Payloads: https://github.com/rapid7/metasploit-payloads
  

Why Join GSoC: Industry standard, enormous learning opportunity

Getting Started:

• Set up Metasploit in Kali Linux


• Study existing modules


• Read contributing guide carefully

Potential Projects: New modules, automation scripts, payload development

1. 🛡️ Snyk
   Developer Security Platform

Focus: DevSecOps, dependency scanning, security-as-code

Languages: TypeScript, Go, Java

GitHub:

• CLI: https://github.com/snyk/cli ⭐ 4.9k+


• VSCode: https://github.com/snyk/vscode-extension
  


• Actions: https://github.com/snyk/actions
  

Why Join GSoRes: Developer-first security, growing fast

Getting Started:

• Use Snyk CLI in projects


• Contribute to open-source integrations


• Join community: https://snyk.io/community
  

Potential Projects: New integrations, policy engines, reporting tools

🛡️🤖 Part 3: AI + Security Intersection (4 Organizations)

1. 🎯 Adversarial Robustness Toolbox (ART)
   IBM Research - ML Security

Focus: Adversarial attacks, defenses, robustness testing

Languages: Python

GitHub:

• Main: https://github.com/Trusted-AI/adversarial-robustness-toolbox ⭐ 4.9k+


• Examples: https://github.com/Trusted-AI/adversarial-robustness-toolbox/tree/main/examples
  

Why Join GSoC: Critical research area, IBM backing

Getting Started:

• Run attack examples


• Implement new attacks or defenses


• Study research papers

Potential Projects: New attack methods, defense mechanisms, benchmarking tools

1. 🎪 CleverHans
   Google Brain - ML Security Library

Focus: ML security benchmarking, adversarial examples

Languages: Python, TensorFlow, JAX

GitHub:

• Main: https://github.com/cleverhans-lab/cleverhans ⭐ 6.2k+


• Blog: https://github.com/cleverhans-lab/cleverhans-blog
  

Why Join GSoC: Google Brain project, research-focused

Getting Started:

• Study adversarial examples


• Reproduce paper results


• Implement new attacks

Potential Projects: New benchmarks, attack implementations, defensive techniques

1. 🔐 PySyft (OpenMined)
   Privacy-Preserving Machine Learning

Focus: Federated learning, differential privacy, encrypted computation

Languages: Python, Rust

GitHub:

• Main: https://github.com/OpenMined/PySyft ⭐ 9.5k+


• Courses: https://github.com/OpenMined/courses
  


• PyGrid: https://github.com/OpenMined/PyGrid
  

Why Join GSoC: Privacy + AI is critical, great community

Getting Started:

• Complete OpenMined courses


• Join Slack: https://slack.openmined.org
  


• Contribute to tutorials

Potential Projects: Federated learning algorithms, privacy tools, educational content

1. 🔒 TensorFlow Privacy
   Google - Privacy in Machine Learning

Focus: Differential privacy, private ML training

Languages: Python, TensorFlow

GitHub:

• Main: https://github.com/tensorflow/privacy ⭐ 2k+


• Tutorials: https://github.com/tensorflow/privacy/tree/master/tutorials
  

Why Join GSoC: Google project, cutting-edge privacy research

Getting Started:

• Study differential privacy basics


• Run tutorial notebooks


• Understand privacy budgets

Potential Projects: New privacy mechanisms, benchmarking, optimization

🌟 Part 4: Emerging Technologies (10 Organizations)

1. 🦀 WebAssembly Security
   Securing the Web's Future

Focus: WASM runtime security, sandboxing

Languages: Rust, C++, AssemblyScript

GitHub:

• Wasmtime: https://github.com/bytecodealliance/wasmtime ⭐ 16k+


• WASI: https://github.com/WebAssembly/WASI
  


• Wasmer: https://github.com/wasmerio/wasmer ⭐ 19k+

Why Join GSoC: Future of web and edge computing

Getting Started:

• Build simple WASM modules


• Study security model


• Join community chats

Potential Projects: Security tooling, fuzzing, runtime improvements

1. 🐝 Cilium (CNCF)
   eBPF-Based Networking & Security

Focus: Kubernetes networking, eBPF, security policies

Languages: Go, C

GitHub:

• Main: https://github.com/cilium/cilium ⭐ 20k+


• Hubble: https://github.com/cilium/hubble
  


• Tetragon: https://github.com/cilium/tetragon
  

Why Join GSoC: CNCF project, cutting-edge networking

Getting Started:

• Deploy Cilium locally


• Study eBPF basics


• Join Slack: https://cilium.io/slack
  

Potential Projects: Network policies, observability features, performance optimization

1. 🖊️ Sigstore (Linux Foundation)
   Software Supply Chain Security

Focus: Code signing, transparency logs, artifact verification

Languages: Go, Python

GitHub:

• Cosign: https://github.com/sigstore/cosign ⭐ 4.5k+


• Fulcio: https://github.com/sigstore/fulcio
  


• Rekor: https://github.com/sigstore/rekor
  

Why Join GSoC: Critical security infrastructure, Linux Foundation

Getting Started:

• Sign container images


• Study transparency logs


• Join community: https://sigstore.dev/community
  

Potential Projects: New integrations, tooling, educational materials

1. 🔗 SLSA (Supply Levels for Software Artifacts)
   Framework for Supply Chain Security

Focus: Build provenance, supply chain hardening

Languages: Various (Go, Python, TypeScript)

GitHub:

• Specification: https://github.com/slsa-framework/slsa ⭐ 1.5k+


• Tooling: https://github.com/slsa-framework/slsa-github-generator
  

Why Join GSoC: Google-led, increasingly important

Getting Started:

• Understand SLSA levels


• Implement in your projects


• Study provenance

Potential Projects: Framework implementations, verification tools, documentation

1. 🪐 Jupyter AI
   AI-Powered Notebooks

Focus: AI assistants for notebooks, code generation

Languages: Python, TypeScript, React

GitHub:

• Main: https://github.com/jupyterlab/jupyter-ai ⭐ 3.2k+


• Chat: https://github.com/jupyterlab/jupyter-ai/tree/main/packages/jupyter-ai
  

Why Join GSoC: NumFOCUS umbrella, practical AI applications

Getting Started:

• Install Jupyter AI


• Use AI magics in notebooks


• Join Gitter: https://gitter.im/jupyterlab/jupyter-ai
  

Potential Projects: New AI providers, notebook features, UX improvements

1. 🤖 AutoGPT / AutoGen (Microsoft)
   Autonomous AI Agents

Focus: Agent frameworks, multi-agent systems, automation

Languages: Python

GitHub:

• AutoGPT: https://github.com/Significant-Gravitas/AutoGPT ⭐ 170k+


• AutoGen: https://github.com/microsoft/autogen ⭐ 34k+

Why Join GSoC: Hottest area in AI, massive community interest

Getting Started:

• Run example agents


• Build custom agents


• Join Discord communities

Potential Projects: New agent capabilities, tools, safety mechanisms

1. 🎯 OpenTelemetry
   Observability Framework

Focus: Distributed tracing, metrics, logs

Languages: Go, Java, Python, JavaScript

GitHub:

• Specification: https://github.com/open-telemetry/opentelemetry-specification ⭐ 3.8k+


• Collector: https://github.com/open-telemetry/opentelemetry-collector ⭐ 4.5k+

Why Join GSoC: CNCF, critical for modern systems

Getting Started:

• Instrument an application


• Study semantic conventions


• Join CNCF Slack

Potential Projects: New exporters, instrumentation libraries, tooling

1. 🔬 Evidently AI
   ML Monitoring & Testing

Focus: Model monitoring, data drift, ML testing

Languages: Python

GitHub:

• Main: https://github.com/evidentlyai/evidently ⭐ 5.3k+


• Examples: https://github.com/evidentlyai/evidently/tree/main/examples
  

Why Join GSoC: Critical for production ML, growing fast

Getting Started:

• Monitor your models


• Create custom metrics


• Join Discord

Potential Projects: New metrics, integrations, dashboard features

1. 🎨 Gradio (Hugging Face)
   ML Demo Platform

Focus: ML app interfaces, demos, sharing models

Languages: Python, JavaScript/Svelte

GitHub:

• Main: https://github.com/gradio-app/gradio ⭐ 34k+


• Blocks: https://github.com/gradio-app/gradio/tree/main/gradio/blocks
  

Why Join GSoC: Hugging Face backing, rapid growth

Getting Started:

• Build demo apps


• Create custom components


• Join Discord

Potential Projects: New components, integrations, performance improvements

1. 🧪 Great Expectations
   Data Quality & Testing

Focus: Data validation, testing, quality assurance

Languages: Python

GitHub:

• Main: https://github.com/great-expectations/great_expectations ⭐ 10k+


• Contrib: https://github.com/great-expectations/great_expectations_contrib
  

Why Join GSoC: Critical for data pipelines, mature project

Getting Started:

• Validate your datasets


• Create custom expectations


• Join Slack

Potential Projects: New expectations, integrations, performance optimization

🎯 Your Action Plan: Start Contributing NOW!

Week 1-2: Research & Setup

1. Pick 3-5 organizations from this list that excite you


2. Star their repos on GitHub


3. Join their Discord/Slack channels


4. Set up development environment


5. Read contributing guidelines

Week 3-4: First Contributions

1. Fix typos in documentation (yes, this counts!)


2. Add code examples or tutorials


3. Report bugs with detailed reproduction steps


4. Answer questions in discussions/forums


5. Improve README or getting started guides

Week 5-8: Deeper Engagement

1. Fix "good first issue" bugs


2. Add tests for existing features


3. Implement small feature requests


4. Review other people's PRs


5. Attend community meetings

Week 9-12: Becoming a Contributor

1. Implement medium-sized features


2. Help onboard new contributors


3. Propose new ideas


4. Build relationships with mentors


5. Target: 3-5 merged PRs minimum

📚 Essential Skills to Learn NOW

Must-Have (Learn First):

1.Git & GitHub - Absolute requirement

• Branching, PRs, rebasing


• Writing good commit messages


• Code review etiquette

2.Python - Used by 80% of these orgs

• Virtual environments


• Package management (pip, poetry)


• Testing with pytest

3.Documentation - Often overlooked but valued!

• Markdown


• Technical writing


• API documentation

Highly Recommended:

1. Docker - Many projects use containers


2. Testing - Unit tests, integration tests


3. CI/CD - GitHub Actions basics


4. Linux CLI - Basic commands, shell scripting

Nice to Have:

8.Go - For security/cloud projects

9.TypeScript - For full-stack projects

10.Rust - Emerging, great for systems programming

🎓 Learning Resources

Free Courses:

• Python: Real Python, Python.org tutorials


• Git: GitHub Learning Lab, learngitbranching.js.org


• Docker: Docker's official tutorial


• Go: Tour of Go (tour.golang.org)


• Rust: The Rust Book (doc.rust-lang.org/book)

AI/ML Specific:

• fastai Course: course.fast.ai (FREE!)


• Hugging Face Course: huggingface.co/learn


• DeepLearning.AI: coursera.org/specializations/deep-learning


• PyTorch Tutorials: pytorch.org/tutorials

Security Specific:

• OverTheWire: overthewire.org/wargames


• HackTheBox: hackthebox.com (free tier)


• OWASP Top 10: owasp.org/www-project-top-ten

💡 Pro Tips from Previous GSoC Students

1. Quality Over Quantity

"I got accepted with just 2 PRs, but they were substantial feature additions, not just typo fixes." - Sarah, GSoC 2025

1. Communication is Key

"I didn't get the org I wanted on first try. But I stayed active in the community, and when I applied again, I got in!" - Raj, GSoC 2024

1. Start Early

"Don't wait for the official announcement. I started contributing in December and had 6 PRs by application time." - Maria, GSoC 2025

1. Be Strategic

"Pick organizations based on your career goals, not just what's easy. GSoC opened doors to my dream job." - Chen, GSoC 2023

1. Network Actively

"The friends I made during GSoC are now my startup co-founders!" - Alex, GSoC 2024

🤔 FAQ

Q: Can I contribute to multiple organizations?

A: Yes! In fact, it's recommended. Apply to 2-3 orgs to increase your chances.

Q: Do I need to be an expert to contribute?

A: No! Start with documentation, tests, or "good first issues." Everyone starts somewhere.

Q: What if I don't know Python/Go/Rust?

A: Learn one language well. Python is the best choice for beginners (covers 80% of orgs).

Q: How many hours per week should I contribute?

A: Start with 5-10 hours/week. Quality matters more than quantity.

Q: What's the acceptance rate?

A: Varies by org: 10-40%. Better proposals + more contributions = higher chances.

Q: Can I do GSoC if I'm working/in school?

A: Yes, but GSoC is full-time during summer (175-350 hours total commitment).

🌟 Organizations Most Likely to Accept New Contributors

Based on historical data and community culture:

High Acceptance Rate (Good for First-Timers):

• fastai (educational mission)


• Great Expectations (welcoming community)


• Evidently AI (growing, needs contributors)


• Gradio (beginner-friendly)


• Jupyter AI (NumFOCUS support)

Medium Difficulty (Moderate Competition):

• Hugging Face (lots of slots)


• LangChain (fast-growing)


• Trivy (active development)


• Semgrep (modern codebase)


• PySyft (specialized but welcoming)

Highly Competitive (Expert Level):

• AutoGPT/AutoGen (massive popularity)


• Ray Project (complex system)


• ONNX Runtime (Microsoft standards)


• Metasploit (requires security expertise)


• Cilium (deep technical knowledge)

📊 By the Numbers: What Languages to Learn

Based on these 30 predicted organizations:

Python: ████████████████████████ 24 orgs (80%)

Go: ████████████ 12 orgs (40%)

TypeScript: ██████ 6 orgs (20%)

C++: █████ 5 orgs (17%)

Rust: ████ 5 orgs (17%)

Java: ██ 2 orgs (7%)

Ruby: █ 1 org (3%)

OCaml: █ 1 org (3%)

Recommendation: Learn Python first, then pick a second language based on your interests:

• Security → Go or Rust


• Systems Programming → C++ or Rust


• Full-Stack → TypeScript


• Enterprise → Java

** Final Thoughts**

The official GSoC 2026 organizations will be announced on February 27, 2026, but that's only 20 days away! Don't wait!

Start contributing TODAY to the organizations on this list. Even if some don't make it into GSoC 2026, you'll have:

✅ Real open-source contributions

✅ Industry-relevant skills

✅ Network of mentors and peers

✅ Portfolio projects

✅ Possible job opportunities

The best GSoC proposals come from students who are already active contributors to the organization. Start building those relationships now!

🤝 Let's Stay Connected!

I'll be updating this post as official information comes out.

What you can do:

⭐ Bookmark this post

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Good luck, future GSoC contributors! See you in the code!