Build a feature with multi-model workflow
Using one AI model for everything means one set of blind spots. This workflow splits the work across 2-3 models in distinct roles — architect, builder, reviewer — so each model's weaknesses are caught by another model's strengths.
Premium workflow
Build a feature with multi-model workflow is part of the full Developer Edition library. The full pack has 35 workflows total, including 27premium workflows.
More from Developer Edition
Build your Repo Context Profile
AI coding tools (Cursor, Claude Code, Copilot) are dramatically better when they know your stack, your conventions, your architecture, and your sensitive areas. Without that context they default to "what's typical on GitHub" — often the wrong pattern for YOUR repo. This workflow builds a structured context file (AGENTS.md / CLAUDE.md / .cursor/rules) that AI loads on every session — so it always has the full picture.
Onboard onto an unfamiliar codebase
You just cloned a repo you've never seen. Maybe it's a new job, an open-source project, or a client's codebase. Instead of spending 2 days reading files randomly, you use AI to build a mental map in 20 minutes.
Write AGENTS.md for your repo
Every time you start a new AI coding session, you re-explain your stack, conventions, and "don't do that" rules. An AGENTS.md file tells the AI once, permanently. This workflow gets you from zero to a working repo instruction file in 8 minutes.