Silverile connects business intent, project execution, AI assistance, and developer workflows.
In this guide you will connect to Silverile, open a story, review requirements, use AI-assisted development, and start coding.
Estimated time: 5 minutes
Fastest path in VS Code
The quickest developer workflow is to pull story context into VS Code first, then ask your coding assistant to implement from that Silverile context. The same pattern works for defects.
Show my work
Show my story 2233
Show defects
Show defect 45456
@silverile develop story 2233
@silverile fix defect 45456
Use Show my work to see assigned stories, Show my story 2233to pull a known story, Show defects or Show defect 45456to pull defect context, and @silverile develop story 2233 or @silverile fix defect 45456 to send a scoped implementation prompt to Copilot Chat.
LoginVS CodeOpen Work ItemAI AnalysisDevelopUpdate Progress
Before You Begin
Requirements
Silverile account
Access to a Silverile project
VS Code installed
Optional
GitHub Copilot
Claude Code
Codex
MCP-compatible AI tools
5-minute path
Step 1: Sign In
30 sec
Log in to Silverile.
Open your assigned project.
Expected Result: You can access project stories and work items.
Step 2: Install the VS Code Extension
1 min
Open VS Code.
Install the Silverile Extension.
Sign in using your Silverile credentials.
Expected Result: VS Code is connected to Silverile.
Ask GitHub Copilot, Claude Code, Codex, or another coding assistant to develop the pulled story or fix the pulled defect.
Use @silverile develop story 2233 in Copilot Chat when you want Silverile to generate and submit the implementation prompt directly.
Use @silverile fix defect 45456 when the work item is a tracked defect.
Keep Silverile as the source of truth for requirements, acceptance criteria, and progress tracking.
Expected Result: Implementation begins with clear traceability to business intent.
Step 6: Update Progress
30 sec
Update story or defect status.
Add comments.
Record implementation notes.
Expected Result: Project stakeholders can see current delivery status.
Optional: Connect MCP
Silverile supports Model Context Protocol (MCP). Supported workflows include viewing projects, viewing stories, querying project status, and retrieving story details.
Typical prompts
Show my assigned stories
List stories currently in progress
Show details for story STORY-123
What work is assigned to me?
Expected Result: AI assistants can interact with Silverile project data.