tha shed · interactive
3AM Paged: Replaying an AI-Assisted Incident, Then Letting You Pick Ruby or Python With Real Numbers
Two hands-on demos: step through a simulated outage side-by-side (manual vs. agent-assisted triage), then run your own project through a decision engine built on 2026’s actual YJIT and CPython benchmark data.
incident-4471 — checkout-api p99 latency spike
Step 0 / 6
Manual on-call00:00
AI-assisted (agent RCA)00:00
Manual MTTR
0m
AI-assisted MTTR
0m
This is an illustrative walkthrough, not a published benchmark — timestamps are modeled to show the shape of the workflow shift, not a literal measured MTTR. It reflects real, cited capability: predictive/AIOps-style root-cause correlation and CI/CD-embedded remediation, like GitLab Duo’s Root Cause Analysis and GitHub Copilot’s agentic Slack workflows shipping in 2026. Try it: hit Step repeatedly and watch where the AI lane compresses the investigation phase — that’s the part predictive AIOps targets first, not the fix itself.
Live recommendation
Check a few boxes
Your project profile will score itself as you go.
Ruby 50%Python 50%
YJIT 3.4 vs CRuby interpreter~92% faster
YJIT in production Rails apps15–30% faster
CPython vs CRuby, CPU loops1.2–1.5x
ruby –yjit app.rb
# or for Rails:
RUBY_YJIT_ENABLE=1 bin/rails server
# verify at runtime:
RubyVM::YJIT.enabled? #=> true
Sources
- Shopify Engineering — “Ruby 3.2’s YJIT is Production-Ready” and the live yjit-metrics benchmark suite.
- DEVOPSdigest — “From Automation to Intelligence: How AI Will Redefine DevOps in 2026”.
- GitLab — General Availability of the GitLab Duo Agent Platform.
- DevOps.com — “GitHub Copilot Gets Its Own App — and Agents Are the Reason Why”.
- NexusBro — Python vs Ruby performance comparison (2026).