AI generates code without
understanding behavior.
AI assistants generate code without knowing what guards protect a payment flow, how many callers depend on a function, or where architectural boundaries exist. Vokt gives AI behavioral context and validates every change.
Context injection via MCP. Safety validation on every AI-generated change. No other AI coding tool has behavioral awareness.
Context and safety — not one or the other
Behavioral Context via MCP
When an AI assistant modifies a function, Vokt injects the behavioral specification into the AI's context — contracts, callers, guards, side effects, and dependencies.
- AI sees the full contract before suggesting changes
- Caller count and blast radius are visible to the AI
- Guard conditions are surfaced as constraints
- Architectural boundaries are communicated as rules
Safety Validation on AI Changes
After the AI suggests a change, Vokt validates it — detecting drift, computing blast radius, and flagging contract violations before the code is committed.
- Behavioral drift detection on every AI-generated change
- Blast radius computed before commit
- Guard removal warnings escalated to human review
- Boundary violations blocked in CI
The data on AI-generated code is clear
Industry research consistently shows that AI-assisted code ships faster but degrades in quality, security, and maintainability. The problem isn't speed — it's the absence of behavioral awareness.
More issues than human-written code
CodeRabbit's analysis of 470 PRs found AI-authored code produces 1.75x more logic and correctness errors, 1.64x more maintainability issues, and 1.57x more security findings than human-written code.
Higher code churn rate
GitClear's analysis of 211 million changed lines found AI-generated code has a 41% higher churn rate — code revised within two weeks of being written — growing from 3.1% in 2020 to 5.7% in 2024.
More code duplication
AI-assisted coding is linked to 4x more code cloning. Refactoring activity dropped from 25% of changed lines in 2021 to under 10% in 2024. Developers paste more than they refactor.
Orgs breached via AI-generated code
One in five organizations suffered a major security breach linked to AI-generated code. AI code is 2.74x more likely to introduce XSS vulnerabilities, 1.91x more likely to create insecure object references.
The root cause: AI sees syntax, not behavior
These aren't random failures. They follow a pattern: AI generates code that is syntactically correct but behaviorally unaware. It doesn't know which functions are hubs with 30+ callers. It doesn't know that a guard protects a payment flow. It doesn't know that removing a logging call breaks a compliance control.
The missing piece is behavioral context — the guards, side effects, contracts, callers, and architectural boundaries that define what code actually does. That's what Vokt provides to AI assistants via MCP, and what Vokt validates on every AI-generated change.
How it works
Initialize
Run vokt generate to create behavioral specs for your codebase. Specs are deterministic — no LLM, no hallucination.
AI Gets Context
Via MCP, AI assistants (Claude Code, Cursor) receive behavioral context — contracts, callers, guards, side effects — for every function they touch.
AI Suggests with Awareness
The AI knows the blast radius, the guard conditions, and the architectural boundaries before suggesting changes.
Changes Validated
Vokt runs behavioral diff on every AI-generated change. Drift, guard removals, and boundary violations are flagged before commit.
No AI coding tool has behavioral awareness
AI sees syntax, not semantics
Copilot, Cursor, and Claude Code see the code. They don't see the behavioral specification — the guards, side effects, callers, and contracts that define what the code actually does.
No AI tool validates behavioral impact
AI tools check for syntax errors, linting violations, and type errors. None of them check whether a change removed a guard, broke a contract, or violated an architectural boundary.
Vokt bridges the gap
Vokt gives AI assistants behavioral context before they suggest changes, and validates the behavioral impact after. Context + validation = safe AI-assisted development.
Make AI-assisted development safe
Give your AI assistants the behavioral context they need. Validate every AI-generated change before it reaches production.