Cursor Sidebar Plugin + Digital Twin
Continuously updated twin
Keep a live model of the software system as AI-generated code changes the repository.
Architecture + execution
See dependencies, execution paths, and operational behavior in one connected view.
AI governance
Turn AI-generated code into something teams can inspect, trust, and govern before merge.
The trust layer for AI-generated software.
CodeWalkerAI is a Cursor sidebar plugin and digital twin of your software systems, creating a live, continuously updated model of codebases that analyzes architecture, dependencies, execution paths, risks, AI-generated code, and operational behavior.
Cursor plugin. Digital twin. AI governance. PR to runtime.
Live analysis
Find fabricated packages, prompt-injection paths, and secret exposure before risky code lands.
Signal board
Policy check live
High
Phantom SDK import detected
payments/checkout.ts references a package that does not exist in the lockfile.
Medium
Execution path drift
A generated branch now bypasses a validation step inside the order approval flow.
Trace
Blast radius mapped
The affected route, dependency chain, and downstream service impact are connected automatically.
Architecture drift
Connect risky changes to execution paths and system-level impact without losing the repository view.
Built for AI-Generated Software
A live software model, not another static scanner.
CodeWalkerAI gives teams a continuously updated digital twin they can interrogate inside Cursor, so trust decisions happen with architecture, dependency, and execution context attached.
Continuously Updated Twin
Keep a live model of the codebase as AI-generated changes land.
Instead of reviewing isolated diffs, teams see how new code alters architecture, dependencies, and system shape in real time.
- Architecture and dependency relationships that update with the repo
- Risk and AI-generated changes mapped into the broader system
- Operational context before trust breaks in production
Cursor-Native Trust Workflow
Move from system-level signal to code-level proof without leaving the workflow.
Start in the repository twin, then drill into the exact function, file, or execution path that changed while keeping the broader software context around the issue.
- Line-level validation for imports, symbols, and dependencies
- Execution-path context for suspicious behavior and generated-code drift
- Faster remediation with architecture and operational context intact
TokenWise Inside CodeWalkerAI
Token intelligence for AI-generated software in Cursor.
TokenWise extends the trust layer into prompt operations so teams can understand context usage, model cost, and prompt efficiency before every send.
- Real-time token counter in Cursor
- Pre-flight token estimates for selected files
- Cost estimates per model
- Context window usage meter
- Token breakdown by file
- Optimization suggestions before submit
TokenWise live
Within budget
Cursor session budget
Context window
68% used
Estimated spend
$0.43 on GPT-5.4
app/review.tsx
5.2k
lib/prompt.ts
3.4k
routes/merge.ts
1.8k
Trim generated diffs
Exclude test fixtures
Switch to lower-cost model
Three Trust-Layer Views
Interrogate the digital twin from dependency graph to runtime behavior.
Use the same environment to inspect architecture relationships, zoom into code-level evidence, and connect risky changes to operational behavior before they spread.
Recon
Map architecture, dependencies, and generated-code drift across the living system model.
Microscope
Inspect suspicious references, unsupported imports, and risky logic at the file and function level.
Retrace
Connect code changes to execution paths and operational behavior so teams know what trust broke.
Operator view
Static tools show that a rule was broken. CodeWalkerAI shows whether the system is still trustworthy.Built for Cursor teams shipping AI-generated software into production.
Live Twin
A continuously updated software model for architecture, dependencies, and system behavior.
Cursor
A sidebar workflow inside the coding environment where trust decisions actually happen.
PR → Runtime
Continuous visibility from generated change to execution-path and operational impact.