Where High-
Performance Ruby
Meets Frontier AI.
Production notes from our engineering lab. We turn high-performance Ruby and practical AI patterns into delivery-ready systems for product teams.
AI RESEARCH &EXPERIMENTS
Experiments, benchmarks, and implementation patterns we use to de-risk delivery.
Rails Query Shaping for Predictable Latency
A full technical tutorial on designing, measuring, and shipping query-shaping improvements in Rails so p95/p99 latency stays predictable under growth.
Regression Guards for LLM-Assisted Delivery
A practical safety model for AI-assisted engineering that combines deterministic gates, review thresholds, and fast rollback signals.
TECHNICAL INSIGHTS
Architecture decisions and trade-offs explained for CTOs and senior engineers.
Incident Playbook for Product-Focused Engineering Teams
A practical incident response playbook designed for product teams that need fast recovery, clear ownership, and low process overhead.
Read
Zero-Downtime Schema Changes in Rails
A delivery-tested rollout pattern for schema evolution in active Rails systems without downtime or surprise regressions.
Read
Case Note: Legacy Audit in the First 30 Days
A field-tested 30-day sequence for converting unclear legacy risk into an executable stabilization roadmap.
ReadPublic Repositories
Most client systems are private. These public repositories show how we structure and maintain delivery-ready code.
Active website delivery codebase with current implementation and content workflows.
Technical publishing repository for engineering notes and long-form articles.
Standards-focused interoperability work for invoice conversion scenarios.
Practical Assets
Ready-to-use cheatsheets, diagrams, templates, and runbooks from delivery practice.
Rails Performance Triage Checklist
CheatsheetA practical checklist for identifying hot spots before scaling work begins.
Use when response times become inconsistent or release confidence drops.
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