Get reliable code
from the start.
Get reliable code
from the start.
Get reliable code
from the start.
Prompt brings project context and clear requirements to your coding agent, then reviews what it builds.
Prompt brings project context and clear requirements to your coding agent, then reviews what it builds.
AI writes code faster than ever.
Review still takes time.
AI writes code faster than ever.
Review still takes time.
Coding agents can generate entire features in minutes. But more generated code means more assumptions to catch, more changes to review, and less of it ready to ship.
Coding agents can generate entire features in minutes. But more generated code means more assumptions to catch, more changes to review, and less of it ready to ship.
The bottleneck is moving from writing code
to trusting what gets written.
The bottleneck is moving from writing code to trusting what gets written.
Give your agent what it needs to get it right.
Give your agent what it needs to get it right.
01 Context
01 Context


Start with your project
Start with your project
Build from the components, patterns, and conventions you already use.
Build from the components, patterns, and conventions you already use.
02 Requirements

Resolve what’s missing
Settle open decisions before your agent has to guess.
02 Requirements

Resolve what’s missing
Settle open decisions before your agent has to guess.
03 Review

Check the result
A second model checks the code against your project and your requirements.
03 Review

Check the result
A second model checks the code against your project and your requirements.
Same prompt.
Different result.
Same prompt.
Different result.
The prompt


WithWithout


WithWithout
From request to reviewed code.
From request to reviewed code.
Onboarding Elicitation
How should the tool approach architectural decisions for code generation?
Connected from Cursor.
- Each decision starts with the recommended approach for the technology and platform.
- When the codebase has no evidence for an aspect, the best-practice default is used.
- Each decision follows the pattern already established in the codebase.
- When there is no relevant data, the tool falls back to best practices.
String(localized: "auth.cta.primary").navigationTitle("onboarding.header")Button("signup.continue") { }LocalizedStringResource("validation.email")@Injected(\.authService) var authDSCard { DSBadge("New") }struct CatalogView: View {try await api.fetch(.catalog).padding(.ds.spacing16)Color.ds.surfacePrimaryString(localized: "auth.cta.primary").navigationTitle("onboarding.header")Button("signup.continue") { }LocalizedStringResource("validation.email")@Injected(\.authService) var authDSCard { DSBadge("New") }struct CatalogView: View {try await api.fetch(.catalog).padding(.ds.spacing16)Color.ds.surfacePrimaryReading your host project…
Cursor is waiting while the repository is scanned. This view updates when host discovery is submitted.
Generating with project context
The connected agent is writing code from your decisions and the host project.
Scan notes
Pre-codegen review of AcmeApp for sign_up / sign_in (email, password, phone; confirm password on sign-up). Host is a SwiftUI app with DesignSystem tokens + DSCard / DSBadge and a networking service layer. Gaps will be closed in codegen by adding DesignSystem form primitives, String Catalog, AuthService, and validations.json. No blocking clarification findings.
Validating invariants
The judge is checking the code changed since the session baseline.
form.submit_lifecycleform.validation_catalogonboarding.phone.fieldvisual.shared_form_primitivesvisual.auth_screen_headernav.session_safe_backform.focus_first_error
Runs over MCP inside
Claude Code
/
Cursor
/
Codex
/
Gemini CLI
or any MCP client
Get early access.
Get early access.
Prompt is in private beta. Leave your work email and we’ll send your invite as spots open.
A better why to write shippeable code