AI Workflows
Writing a newsletter with AI: Building a Curation Engine
Learn how to build an automated curation workflow that uses AI for research while keeping your unique editorial voice intact.
Generative UI Patterns: Building with Deterministic Schemas
Move beyond unpredictable AI interfaces. Learn how deterministic schema registries create accessible, brand-consistent generative UI that actually works.
GitHub Copilot Alternatives That Actually Work for Staff Engineers
Tired of Copilot hallucinations? I tested five alternatives that actually handle complex context and reduce your rollback rate.
Running Local LLMs for Coding: Why Your M3 Max Isn't Enough
A post-mortem on our attempt to move AI coding workflows off-cloud. Performance benchmarks, memory pressure, and why we went back to a hybrid setup.
AI Video Editing Workflow: Comparing Generative and Assistive Tools
A deep look at how an AI video editing workflow reduces friction between ideation and the final export through generative and assistive tools.
How to use AI for code refactoring: A staff engineer's guide
Stop treating AI as a magic wand for legacy code. Learn how to build verification pipelines that treat LLMs as proposal engines, not authority figures.
Testing AI Generated Code: A Post-Mortem on Blind Trust
AI code generation is fast, but your test suite is the only thing preventing a production incident. Here is how we fixed our broken validation workflow.
AI for UI copywriting: 5 ways to tighten your product voice
Learn how to use AI for UI copywriting to remove friction, improve legibility, and bridge the seam between design and content.
Midjourney vs DALL-E for Product Design: A Designer's Guide
Choosing between Midjourney and DALL-E 3 for your design workflow depends on the friction you are willing to tolerate and the artifact you need to create.