🧩Patterns
Proven strategies and best practices for working effectively with AI coding assistants. These patterns help you maximize productivity, maintain code quality, and collaborate successfully with AI.
50 patterns available
Active Partner
Approved Logs
Approved Scenarios
Background Agent
Borrow Behaviors
Canary in the Code Mine
Cast Wide
Chain of Small Steps
Check Alignment
Chunking
Coerce to Interface
Constrained Tests
Context Management
Context Markers
Contextual Prompts
Diagrams as Code
Extract Knowledge
Feedback Flip
Feedback Loop
Focused Agent
Ground Rules
Habit Hooks
Happy to Delete
Hooks
JIT Docs
Knowledge Checkpoint
Knowledge Composition
Knowledge Document
Mind Dump
Noise Cancellation
Offload Deterministic
Orchestrator
Parallel Implementations
Playgrounds
Point the Target
Polyglot AI
Reference Docs
Refinement Loop
Reminders
Reverse Direction
ROSE Feedback
Semantic Anchors
Semantic Zoom
Shared Canvas
Show the Agent, Let it Repeat/Automate
Softest Prototype
Take All Paths
Text Native
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