Practical guides on AI, architecture, and building production-grade software.
A practical guide to choosing between Retrieval-Augmented Generation and fine-tuning for your AI application. Updated with the latest model capabilities and cost considerations.
Lessons from deploying AI agents in production: error handling, observability, guardrails, and the patterns that keep systems reliable.
How to structure a Next.js application for SaaS: multi-tenancy, authentication, API design, and patterns for scaling to thousands of users.
Beyond the hype: practical AI automation use cases that are delivering ROI today across customer support, operations, and content generation.
A comprehensive guide to implementing enterprise-grade authentication, authorization, and compliance requirements in modern SaaS applications.
How to evolve your codebase from scrappy MVP to scalable platform: refactoring strategies, technical debt management, and when to rewrite.