Code ships faster thanhumans can review it.
Vokt computes what every diff actually changes in behavior, what it affects, and what risks it introduces — before the change merges.
The code review bottleneck is structural, not procedural.
Code changes ship at rates that exceed any team’s ability to reason about semantic impact. AI coding assistants are an accelerant, not a cause.
increase in duplicated code blocks from 2020–2024. Copy/paste lines exceeded refactored lines for the first time.
GitClear, 211M lines analyzed
of developers report AI-generated code that “looked correct but wasn’t reliable.” Only 48% always check before committing.
Sonar, 1,149 developers surveyed
more defects in AI-assisted code compared to human-written code across 470 GitHub pull requests.
CodeRabbit, 2024 analysis
The bug classes are well-documented.
Caller updates missed during refactors
Untrusted input reaching unsanitized sinks
Side-effects introduced into pure paths
Abstraction boundaries quietly crossed
Guard conditions removed without tracing impact
Errors swallowed where they were once propagated
None of these are new. What’s new is the rate at which they accumulate. The fix is not “review more carefully” or “retrieve better context for the LLM.” Both treat symptoms.
Semantic change intelligence on the proposed-change boundary.
Given a diff, Vokt computes what actually changed in behavior, what it affects, and what risks it introduces — before the change merges.
Know which functions are dangerous before anyone touches them. Every score is deterministic, explainable, and auditable.
See exactly how many functions, modules, and APIs a change affects — traced through the actual call graph, not guessed from text.
Catch removed safety checks, swallowed errors, and logic regressions that tests don’t cover.
Surface hidden coupling, leaky abstractions, and dependency hotspots that turn small changes into large incidents.
Distinguish refactors from behavior changes, security improvements from cosmetic edits. Know the intent behind every diff.
Every impacted function comes with a reason — not just that it’s affected, but why, and through which path.
See your entire codebase in one place.
Risk scores, call graphs, module coupling, and architectural health — all in an interactive dashboard your team runs locally.
Dashboard overview — codebase health at a glance.
Risk explorer
Every function ranked by risk. Sort, filter, and drill into the full profile for any function in your codebase.
Risk deep-dive
Understand why a function is risky. Each score decomposes into the contributing factors so you can prioritize fixes.
Call graph explorer
Search for any function and see who calls it, what it calls, and how changes propagate through your codebase.
Interactive call graph
Visualize dependencies, spot coupling, and trace the blast radius of any change before it ships.
Three surfaces, one analysis.
Vokt runs one analysis. Developers, AI assistants, and CI pipelines all query the same semantic model.
Make your AI coding assistant risk-aware.
AI assistants generate code that looks correct but introduces regressions they can’t see. Vokt gives them real-time access to risk scores, blast radius, and behavioral analysis — so your copilot checks before it edits and validates after.
Works with Claude, Cursor, and any MCP-compatible AI assistant.
Learn more about Vokt for AI CopilotsCatch regressions before they merge.
Vokt compares the PR branch against the base and flags behavioral regressions, weighted by the risk of each affected function. Block critical issues or run in advisory mode.
Integrates with GitHub Actions, GitLab CI, and any CI pipeline.
No data leaves your machine
Same code, same score. No LLM in the analysis
Every score decomposes into inspectable factors
Kotlin, TypeScript, C#, Rust coming soon
On-prem deployment, SSO, audit logs
Proven on real bugs from public codebases.
The Vokt Atlas is a growing collection of semantic change analyses run against known bugs in open-source Go and Java projects — real diffs, real regressions, reproducible results. Every entry shows what Vokt surfaces that code review missed.
Coming soon. Each atlas entry will include the original diff, the behavioral delta Vokt computed, and the risk signals that would have flagged the regression before merge.
See what Vokt finds in your codebase.
Semantic change analysis, running locally, with results in minutes. No cloud. No LLM. Just the behavioral facts about your code.