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 included10 modules with videos, deep technical examples, benchmark scripts, exercises on custom implementations, and analysis of real high-load cases.Module 1: Ruby implementations deep diveMRI vs YJIT vs MJIT vs TruffleRuby vs JRuby • when and why to choose each • YJIT tuning in productionModule 2: Ractors (true parallelism in Ruby 3+)Ractor.new, shareable objects, Ractor.select • limitations and workarounds • real-world use casesModule 3: Advanced concurrency modelsActors (Celluloid-style or custom) • Polyphony / Fiber-based async • comparison with Go goroutinesModule 4: JIT & AOT optimizationsYJIT warmup strategies • MJIT methods • reading and interpreting JIT logs • custom JIT experimentsModule 5: Writing C-extensions basicsrb_define_method, rb_funcall • data types • memory management • using Rust for extensions (magnus)Module 6: Enterprise Ruby patternsMonorepo vs multi-repo • service boundaries • feature flags • gradual typing (Sorbet, steep)Module 7: Extreme performance tuningObject shapes optimization • string interning • custom allocators • GC tuning params (2026 relevant)Module 8: Migration & modernization strategiesRuby 3.3 → 3.4 → 4.0 upgrades • Rails → Hanami or pure Ruby • legacy → modular monolithModule 9: Research & future-proofingRuby Next, experimental features • following Ruby core dev • contribution basics (if interested)Module 10: Capstone projectFull high-performance service: Ractors + YJIT + custom C-ext + observability + deploy pipeline Who this course is forSuitable 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 studyWhen and how to switch to YJIT, MJIT, or JRubyHow to use Ractors for real parallelismHow to write simple C-extensions and use Rust for performanceHow to tune Ruby under extreme loadHow to plan long-term Ruby project evolution About the authorDeveloper 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 policyIf 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).
