


Introducing the Command Code Provider API
Use your Command Code plan with OpenAI and Anthropic compatible clients using your Command Code API key.




























































Agentic engineering, coding taste, and research insights from building Command Code.



Use your Command Code plan with OpenAI and Anthropic compatible clients using your Command Code API key.



The skill that turns Command Code into your design agent. Sixteen modes for color, type, layout, motion, states. Built against glassmorphism by default



Rules files and skills decay over time. The real solution is coding taste, patterns learned from how you actually write code.



Ship faster with OpenAI GPT models in Command Code, with a purpose-built coding harness, taste conditioned on your coding patterns, and cross-model PR review.



Ran the same 3 prompts through Command Code and Claude Code. Claude wrote correct code, but Command Code wrote *my* code every single time. The difference is worth seeing.



Run npx taste pull and Command Code starts building UI in the style of Apple, Vercel, Shopify, or seven others. Learn how design taste files work.



Command Code learns from your feedback to generate code that matches your coding taste. How we built a system that adapts to how you actually write.



We shipped hooks today, a programmable API to the Command Code lifecycle. Run your own code, deterministically, at the boundary where the agent crosses from deciding to acting.



Why static configuration decays, why tutorials only go so far, and why continuous learning from developer behavior is the missing layer.



Shift from scattered PR feedback to confident shipping decisions with agentic review that understands your codebase, your workflow, and how you think about code.



A deep dive into the full stack of terminals — what makes a terminal, how shells work, what TTY and PTY mean, POSIX standards, ANSI escape codes, and more.



Taste files solve a personal problem. But engineering is a team sport. Here's how we built the infrastructure to make accumulated engineering judgement portable across teams and open source projects.



When long coding sessions hit their limits, most agents break by losing context. Here’s why compaction fails and how a better approach fixes it.



AI coding agents write correct code, not your code. Teams that build and share coding taste (learned preferences from accept/reject/edit signals) compound a 5-10x productivity advantage. Here's the information-theoretic argument for why taste is the next frontier of AI-assisted development.



Learn how our PMM team built a creator-discovery pipeline as a Command Code skill that finds dev creators better than the SaaS tools like Modash and Upfluence. Runs in 10 minutes, and costs about 3 cents per run.