How does rbee support career growth?

rbee provides real-world experience building distributed AI systems. Contributors learn Rust, system design, and infrastructure management through open-source collaboration.

What kind of learning opportunities does rbee offer?

Contributors gain hands-on experience with distributed systems, GPU orchestration, Rust programming, and AI infrastructure. We provide mentorship and code review from experienced engineers.

Is rbee open to junior developers?

Yes! rbee welcomes developers at all levels. We provide guidance, code reviews, and mentorship to help junior developers grow their skills in distributed systems and Rust.

🎓 Career Growth & Learning

Learn by Building Real Distributed Systems

Open collaboration and real-world Rust and AI infrastructure experience through open-source mentorship. This isn't toy code or tutorials—it's production-grade infrastructure.

View on GitHub Join Discord

Learning by Building Real Systems

Distributed Orchestration

Scenario

Most developers never work on real distributed systems.

Solution

rbee contributors work on multi-machine coordination, state management, and fault tolerance.

Outcome

Learn patterns used at Google, Amazon, and Microsoft—but in open source.

GPU & AI Workloads

Scenario

AI infrastructure is complex: model serving, inference optimization, resource scheduling.

Solution

Work on real GPU orchestration, not toy examples.

Outcome

Understand how production AI platforms actually work.

Rust + Next.js

Scenario

Modern systems programming and web development are in-demand skills.

Solution

rbee uses Rust for backend (performance, safety) and Next.js for frontend (React, TypeScript).

Outcome

Build portfolio projects with technologies companies actually use.

Infrastructure as Code

Scenario

DevOps skills are critical but hard to learn without production experience.

Solution

SSH-based deployment, configuration management, real infrastructure challenges.

Outcome

Practical experience with deployment, not just theory.

How We Support Growth

Open Source Mentorship

Experienced maintainers review PRs, provide feedback, and guide architectural decisions. Learn from real code reviews, not classroom exercises.

Contributor Onboarding

Clear contribution guidelines, good first issues labeled, and architecture documentation. Get started quickly without feeling lost.

Technical Knowledge Sharing

Blog posts, architecture docs, and design decisions documented publicly. Learn the "why" behind the code, not just the "what".

Async Pairing

Work through complex problems together via GitHub discussions, Discord threads, and detailed PR comments. Learn at your own pace.

Skills You'll Develop

Systems Programming

Scenario

Rust for high-performance, memory-safe systems.

Solution

Work on real distributed systems with concurrency, networking, and resource management.

Outcome

Skills that transfer to any systems programming role.

Modern Web Development

Scenario

Next.js, React, TypeScript, Tailwind CSS.

Solution

Build production-grade web applications with modern tooling.

Outcome

Full-stack skills for web development roles.

Distributed Systems

Scenario

Multi-machine coordination, state management, fault tolerance.

Solution

Learn patterns from distributed databases, message queues, and orchestration systems.

Outcome

Understand how large-scale systems actually work.

API Design

Scenario

OpenAI-compatible endpoints, RESTful services, error handling.

Solution

Design APIs that developers actually want to use.

Outcome

Backend engineering skills for any API-driven product.

Where to Start

Explore the Codebase

Start by reading the code. Understand the architecture. See how things fit together. No pressure to contribute immediately.

github.com/veighnsche/llama-orch

Find a Good First Issue

Look for issues labeled "good first issue" or "help wanted". These are scoped for new contributors with clear acceptance criteria.

Join the Community

Introduce yourself in Discord. Ask questions. See what others are working on. Community is friendly and welcoming.

discord.gg/rbee

Read the Docs

Check out the architecture docs, contribution guidelines, and technical guides. Understand the "why" before diving into code.

Future Intentions

Long-Form Technical Writeups

Scenario

Deep dives into architecture decisions and implementation details.

Solution

Detailed blog posts explaining complex systems in depth.

Outcome

Learn not just what we built, but why and how.

Recorded Walkthroughs

Scenario

Video tutorials showing how to contribute and build features.

Solution

Screen recordings of real development sessions.

Outcome

See how experienced developers actually work.

Architecture Documentation

Scenario

Comprehensive documentation of system design and patterns.

Solution

Living docs that evolve with the codebase.

Outcome

Understand the entire system, not just individual components.

Structured Mentorship Program

Scenario

Formal pairing for contributors who want deeper involvement.

Solution

1-on-1 mentorship with experienced maintainers.

Outcome

Accelerated learning with personalized guidance.

Real Career Impact

Portfolio Projects

Contributions to rbee are public, permanent, and impressive. Show employers real production code, not toy projects.

In-Demand Skills

Rust, distributed systems, AI infrastructure, and modern web development are highly sought after. Learn what companies actually need.

Open Source Credibility

Contributions to real open-source projects demonstrate initiative, collaboration, and technical ability. Stand out in job applications.

Community Connections

Meet other developers, maintainers, and potential employers. Open source is networking with code.

Start Learning Today

Build Real Skills with Real Infrastructure

This page is referenced from our LinkedIn Career Growth & Learning pledge.

View Good First Issues Join Discord

📄 Referenced in our LinkedIn Career Growth & Learning Pledge

🎓 Career Growth & Learning

Learn by Building Real Distributed Systems

Open collaboration and real-world Rust and AI infrastructure experience through open-source mentorship. This isn't toy code or tutorials—it's production-grade infrastructure.

View on GitHub Join Discord

Learning by Building Real Systems

Distributed Orchestration

Scenario

Most developers never work on real distributed systems.

Solution

rbee contributors work on multi-machine coordination, state management, and fault tolerance.

Outcome

Learn patterns used at Google, Amazon, and Microsoft—but in open source.

GPU & AI Workloads

Scenario

AI infrastructure is complex: model serving, inference optimization, resource scheduling.

Solution

Work on real GPU orchestration, not toy examples.

Outcome

Understand how production AI platforms actually work.

Rust + Next.js

Scenario

Modern systems programming and web development are in-demand skills.

Solution

rbee uses Rust for backend (performance, safety) and Next.js for frontend (React, TypeScript).

Outcome

Build portfolio projects with technologies companies actually use.

Infrastructure as Code

Scenario

DevOps skills are critical but hard to learn without production experience.

Solution

SSH-based deployment, configuration management, real infrastructure challenges.

Outcome

Practical experience with deployment, not just theory.

How We Support Growth

Open Source Mentorship

Experienced maintainers review PRs, provide feedback, and guide architectural decisions. Learn from real code reviews, not classroom exercises.

Contributor Onboarding

Clear contribution guidelines, good first issues labeled, and architecture documentation. Get started quickly without feeling lost.

Technical Knowledge Sharing

Blog posts, architecture docs, and design decisions documented publicly. Learn the "why" behind the code, not just the "what".

Async Pairing

Work through complex problems together via GitHub discussions, Discord threads, and detailed PR comments. Learn at your own pace.

Skills You'll Develop

Systems Programming

Scenario

Rust for high-performance, memory-safe systems.

Solution

Work on real distributed systems with concurrency, networking, and resource management.

Outcome

Skills that transfer to any systems programming role.

Modern Web Development

Scenario

Next.js, React, TypeScript, Tailwind CSS.

Solution

Build production-grade web applications with modern tooling.

Outcome

Full-stack skills for web development roles.

Distributed Systems

Scenario

Multi-machine coordination, state management, fault tolerance.

Solution

Learn patterns from distributed databases, message queues, and orchestration systems.

Outcome

Understand how large-scale systems actually work.

API Design

Scenario

OpenAI-compatible endpoints, RESTful services, error handling.

Solution

Design APIs that developers actually want to use.

Outcome

Backend engineering skills for any API-driven product.

Where to Start

Explore the Codebase

Start by reading the code. Understand the architecture. See how things fit together. No pressure to contribute immediately.

github.com/veighnsche/llama-orch

Find a Good First Issue

Look for issues labeled "good first issue" or "help wanted". These are scoped for new contributors with clear acceptance criteria.

Join the Community

Introduce yourself in Discord. Ask questions. See what others are working on. Community is friendly and welcoming.

discord.gg/rbee

Read the Docs

Check out the architecture docs, contribution guidelines, and technical guides. Understand the "why" before diving into code.

Future Intentions

Long-Form Technical Writeups

Scenario

Deep dives into architecture decisions and implementation details.

Solution

Detailed blog posts explaining complex systems in depth.

Outcome

Learn not just what we built, but why and how.

Recorded Walkthroughs

Scenario

Video tutorials showing how to contribute and build features.

Solution

Screen recordings of real development sessions.

Outcome

See how experienced developers actually work.

Architecture Documentation

Scenario

Comprehensive documentation of system design and patterns.

Solution

Living docs that evolve with the codebase.

Outcome

Understand the entire system, not just individual components.

Structured Mentorship Program

Scenario

Formal pairing for contributors who want deeper involvement.

Solution

1-on-1 mentorship with experienced maintainers.

Outcome

Accelerated learning with personalized guidance.

Real Career Impact

Portfolio Projects

Contributions to rbee are public, permanent, and impressive. Show employers real production code, not toy projects.

In-Demand Skills

Rust, distributed systems, AI infrastructure, and modern web development are highly sought after. Learn what companies actually need.

Open Source Credibility

Contributions to real open-source projects demonstrate initiative, collaboration, and technical ability. Stand out in job applications.

Community Connections

Meet other developers, maintainers, and potential employers. Open source is networking with code.

Start Learning Today

Build Real Skills with Real Infrastructure

This page is referenced from our LinkedIn Career Growth & Learning pledge.

View Good First Issues Join Discord

📄 Referenced in our LinkedIn Career Growth & Learning Pledge