Every Business Mistake Maps to a Bug You've Already Fixed
You don't need new mental models to start a business. You need to recognize the ones your codebase already gave you, and the one place where they'll betray you.
Read article →Posts tagged with #patterns
Building Bulletproof State Machines: Migrations, Locking, and Audit Trails in Rails
Implicit state is a breeding ground for bugs. We'll refactor a typical Rails model to use a production-ready state machine, covering migrations, race conditions, testing, and audit trails to make your code safer and easier to reason about.
Read article →When the Service Directory Becomes a Liability
The app/services directory starts with good intentions but often decays into a junk drawer. We'll diagnose the symptoms of a service directory in crisis and explore how patterns like Form Objects, Commands, and Query Objects can restore clarity and maintainability to your Rails app.
Read article →Scaling AI Prompts: A Guide to Building a Prompt Management Engine in Rails
Move beyond hardcoded strings and build a scalable, version-controlled, and testable prompt management system in Rails to manage your AI prompts like professional software.
Read article →The Prompt Engineering Manifesto: From $2,400 Mistakes to Production-Grade AI
A hardcoded prompt typo cost us $2,400 in 72 hours. Here's the engineering discipline, testing strategies, and open-source tool (Promptly) we built to fix it for good.
Read article →Building a Production-Ready AI Agent Foundation in Ruby
Most function calling tutorials show toy examples that break in production. This guide provides the 80% foundation you actually need: a security-hardened, multi-turn agent with complete parameter validation, proper error handling, logging, and timeouts. Copy, customize, and build on it
Read article →The Outbox Pattern: Reliable Event Publishing Without Distributed Transactions
How do you guarantee that an event is sent if, and only if, a database transaction succeeds? The dual-write problem plagues distributed systems, leading to inconsistency and bugs. This post dives deep into the Outbox Pattern, a simple yet powerful solution in Rails to ensure atomic, at-least-once delivery for your critical events.
Read article →Beyond useQuery: Advanced Data Fetching in GraphQL
Stop request waterfalls and N+1 problems at the source. This deep-dive covers advanced GraphQL data fetching patterns like fragments, query batching, cursor-based pagination, and real-time subscriptions to build truly performant clients.
Read article →Implementing the Saga Design Pattern in Ruby on Rails
Distributed transaction management in microservices utilizes the Saga Design Pattern through choreography and orchestration implementations in Ruby on Rails. Cross-service data consistency, compensating transactions, and failure recovery mechanisms create resilient systems that handle complex business workflows across multiple services.
Read article →Elevating Your Ruby on Rails Apps with Value Objects
Chaotic Rails codebases transform through immutable value objects that encapsulate domain-specific concepts like money, addresses, and calculations. Implementation benefits include improved code readability, increased robustness through immutability, enhanced reusability, and superior error handling for maintainable applications.
Read article →Mastering the decorator pattern in Ruby on Rails
Rails applications gain enhanced functionality through Decorator Pattern implementation using SimpleDelegator, enabling dynamic behavior addition without tight coupling or complex inheritance hierarchies. Modular presentation logic promotes composition over inheritance while maintaining testable, maintainable codebases.
Read article →Using Service Objects in Ruby on Rails
Service objects provide an architectural solution to Rails applications struggling with bloated models and controllers by extracting business logic into focused, testable classes and modules. Implementation examples demonstrate both class-based and module-based approaches following single responsibility principles for scalable application architecture.
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