Thoughts, insights, and updates
Why we replaced complex agent graphs with lean server actions + edge functions, and how it simplified reliability.
Strategies for keeping AI infra bills predictable: caching, routing, batching, and hybrid models.
Blend automation with expertise: queue risky generations, capture reviewer feedback, and boost trust in production AI.
A practical workflow for combining golden datasets, synthetic generations, and human raters to keep model-based features trustworthy.
Five layers every enterprise prompt system needs: context orchestration, evaluation harnesses, governance, observability, and routing.
A behind-the-scenes look at wiring up Sentry tracing, custom breadcrumbs, and structured logging to capture meaningful signals in production.
How we expanded automated coverage for CMS services and admin panels using Vitest unit suites and Playwright end-to-end journeys.
Lessons learned from deploying latency-sensitive experiences on the Edge with caching, rate limiting, and observability baked in.
A practical walkthrough for building token-driven type scales that respond gracefully across breakpoints without utility sprawl.
Explore the ethical considerations developers must address when building AI-powered applications. Learn about bias, privacy, transparency, and responsible AI practices.
A comprehensive guide for developers who want to understand and implement machine learning solutions. Learn about different ML approaches and when to use them.
Learn how to integrate AI capabilities into your applications using modern APIs and frameworks. From chatbots to image recognition, discover practical implementation strategies.
Explore the fascinating world of generative AI, from GPT models to image generation. Learn how these technologies are reshaping industries and what developers need to know.