Prime Pathway

Prime Pathway is a course for those who want to reach the pinnacle of Ruby's capabilities in 2026 and write code that scales to thousands of requests, millions of lines, and years of operation. 👑
After Nexus Pathway, you know how to deploy, monitor, and secure production. Now it's time to dive into the most advanced tools and techniques: alternative Ruby implementations, true parallelism, JIT optimizations, custom extensions, and strategies for enterprise-level projects.

What’s included
10 modules with videos, deep technical examples, benchmark scripts, exercises on custom implementations, and analysis of real high-load cases.
Module 1: Ruby implementations deep dive
MRI vs YJIT vs MJIT vs TruffleRuby vs JRuby • when and why to choose each • YJIT tuning in production
Module 2: Ractors (true parallelism in Ruby 3+)
Ractor.new, shareable objects, Ractor.select • limitations and workarounds • real-world use cases
Module 3: Advanced concurrency models
Actors (Celluloid-style or custom) • Polyphony / Fiber-based async • comparison with Go goroutines
Module 4: JIT & AOT optimizations
YJIT warmup strategies • MJIT methods • reading and interpreting JIT logs • custom JIT experiments
Module 5: Writing C-extensions basics
rb_define_method, rb_funcall • data types • memory management • using Rust for extensions (magnus)
Module 6: Enterprise Ruby patterns
Monorepo vs multi-repo • service boundaries • feature flags • gradual typing (Sorbet, steep)
Module 7: Extreme performance tuning
Object shapes optimization • string interning • custom allocators • GC tuning params (2026 relevant)
Module 8: Migration & modernization strategies
Ruby 3.3 → 3.4 → 4.0 upgrades • Rails → Hanami or pure Ruby • legacy → modular monolith
Module 9: Research & future-proofing
Ruby Next, experimental features • following Ruby core dev • contribution basics (if interested)
Module 10: Capstone project
Full high-performance service: Ractors + YJIT + custom C-ext + observability + deploy pipeline

Who this course is for
Suitable if you:

• already have production experience and hit MRI limits
• want to use true parallelism and JIT to the maximum
• plan to work in companies where Ruby is a core technology or write open-source gems 🏆

Not suitable if you:

• are not yet confident with production deployment and observability
• are looking for "how to make it faster in 5 minutes" without deep internals understanding

What you will study
When and how to switch to YJIT, MJIT, or JRuby
How to use Ractors for real parallelism
How to write simple C-extensions and use Rust for performance
How to tune Ruby under extreme load
How to plan long-term Ruby project evolution

About the author
Developer with over 8 years of Ruby experience. Worked on systems with tens of millions of daily requests, tuned YJIT and Ractors in production, wrote C-extensions, and participated in Ruby core discussions. 🌍

30-day refund policy
If within 30 days after purchase of paid tariff you feel the materials do not suit you — write us for refund (for Free Pathway not applicable).