Build with context
AI Coding
Plan, write, inspect, and improve code with an AI workspace that stays connected to the product work around it.
What AI Coding does
AI Coding connects implementation to the research, decisions, and designs that led to it. Ask for a plan before a change, inspect the affected files, and keep the result ready for a teammate to review.
The workspace is built for real product work: multi-file tasks, explicit scope, and a clear path from investigation through design to code.
Capabilities
What you get with AI Coding
Repository context
Work from the relevant code and product context instead of an isolated prompt.
Planned changes
Start with a readable plan so scope and tradeoffs are visible before implementation.
Multi-file work
Organize related edits as one task and inspect their impact together.
Review-ready output
Bring the implementation and its rationale back to Cowork for a clean handoff.
AI Coding questions, answered
Does AI Coding support multi-file tasks?
Yes. It is designed for planned changes that may span several files and need a single reviewable outcome.
How does coding connect to research?
Relevant research, decisions, and design context can be carried into the coding task through the shared workspace.
AI Coding is part of the Gyroscape platform
Every capability connects to the same workspace, so research, design, build work, and testing can move forward without losing their shared context.
Explore the platformEcosystem