VDF Code is the secure, context-aware AI coding assistant built for regulated engineering teams. Inline completions, chat, edit-mode refactors, and PR review — running in your VPC, your data center, or fully air-gapped. Same developer velocity as cloud copilots. None of the data-exfiltration risk.
async function chargeCustomer(customerId: string, amount: number) {
// Validate against vault policy and idempotency store
const policy = await vault.policy(customerId);
if (!policy.allowsCharge(amount)) {
throw new PolicyViolation('amount exceeds tier');
}VDF Code
// Idempotency check using existing repo pattern
const existing = await idempotency.lookup(customerId, amount);
if (existing) return existing.receipt;
return withSpan('charge.customer', async () => {
const receipt = await processor.charge(customerId, amount);
await idempotency.record(customerId, amount, receipt);
return receipt;
});
}Trusted by engineering and platform teams in
Three commitments that change what AI coding can do for a regulated engineering org.
Repository-grounded retrieval keeps every completion consistent with your patterns, types, and internal libraries — not what's popular on the public internet.
Your source code, prompts, and embeddings never join a shared training corpus. License attribution screens completions for copyleft contamination before they reach the editor.
Run in your VPC, your data center, or fully air-gapped. The same product — same IDE plugins, same admin portal — across every deployment shape.
Based on aggregated benchmarks across pilot deployments in 2024–2025. Individual outcomes vary by codebase and adoption depth.
Inline completions, conversational coding, and PR-level reasoning share the same governed backbone.
Sub-200ms ghost-text suggestions tuned to your repository patterns. Multi-line, multi-file aware, and trained to know when to stay quiet.
Ask the codebase questions, explain unfamiliar functions, draft tests, or walk a junior engineer through a service — all without context-switching to the browser.
Issue intent — "rename this entity, propagate the migration, regenerate the test fixtures" — and review a diff. Edit mode operates across files atomically.
Summarize PRs, surface risky diffs, flag missing tests, and write release-note copy. Integrates with GitHub, GitLab, Bitbucket, and Azure DevOps.
OWASP-aware completions, automatic SAST hooks, and one-click secure-fix rewrites for the top vulnerability classes — wired straight into the IDE.
Generate docstrings, API reference, migration guides, and changelog entries that stay anchored to the code — not to a model's imagination.
Fine-tune on your internal frameworks and DSLs without surrendering weights. Hosted in your environment, evaluated against your benchmarks.
Per-team acceptance rates, latency, model mix, and cost — visible to engineering leadership without spreadsheet archaeology.
Allow / block models, restrict tools by repository, require approval for privileged operations. Policies are auditable and version-controlled.
Every completion is rooted in your repositories, scoped by your policies, and routed to a model you control.
Your repositories, internal packages, and architecture docs are embedded inside your perimeter into a vector index you own.
When you type, VDF Code pulls the symbols, prior implementations, and tests most relevant to the cursor — scoped by policy.
A model you approve generates a suggestion. License attribution, SAST hooks, and policy filters run before the suggestion reaches the editor.
Every prompt, retrieval, completion, and accept/reject signal is logged — replayable for compliance, evaluation, and incident review.
VDF Code was designed alongside CISOs, AppSec leads, and procurement teams in financial services, healthcare, and the public sector. The controls aren't bolted on — they're load-bearing.
No prompts, embeddings, telemetry, or tokens leave the network perimeter. Verifiable through network policy and audit log.
Identity, group, and repository-level access. Privileged actions (model swaps, policy edits, fine-tuning) gated behind approval flows.
Every prompt, retrieval, model call, tool invocation, and edit captured with cryptographic chain-of-custody. Ready for regulator review.
Designed against the high-risk system controls. Data residency, model documentation, and human-in-the-loop wiring are first-class concepts.
Native extensions, native shortcuts, native feel — across every major IDE and language stack.
Pick the footprint that matches your data classification — the developer experience stays identical.
Fastest path to value. Managed by us.
Single-tenant, your cloud account.
Total sovereignty. Zero egress.
A side-by-side look at the controls that matter to regulated engineering organizations.
| Capability | VDF Code on-prem · VPC · cloud | GitHub Copilot cloud only | Cursor / Windsurf cloud only |
|---|---|---|---|
| Fully air-gapped deployment | Yes | No | No |
| Bring your own model (open-weight) | Yes — Llama, Qwen, Mistral, DeepSeek | Limited (GPT only) | Limited curated set |
| Repository-scoped retrieval | Yes — across monorepo + polyrepo | Single-repo only | Single-workspace |
| License attribution (copyleft detection) | Yes — pre-suggestion filter | Post-suggestion filter | No |
| Immutable audit log of all activity | Yes — cryptographic chain | Admin telemetry only | No |
| Custom fine-tuning on internal frameworks | Yes — hosted in your env | No | No |
| Flat per-seat pricing | Yes | Yes | Token-metered above plan |
| EU AI Act high-risk system readiness | Yes — documented | No formal mapping | No formal mapping |
Drive consistency across services, generate boilerplate that respects internal frameworks, and ship migrations with co-edited tests, fixtures, and docs.
Refactor across components, modernize a design system, and bind UI to APIs with type-checked, accessibility-aware completions.
SQL, dbt, Spark, and PyTorch fluency anchored in your own schemas, feature store, and notebook history. Stop pasting between tools.
Terraform, Helm, Kubernetes manifests, and incident runbooks — generated against your conventions, not StackOverflow's.
Surface OWASP risks at write-time, draft secure-by-default replacements, and generate post-mortems from incident timelines.
COBOL, Delphi, and legacy Java codebases parsed, summarized, and refactored toward modern targets — with humans staying in the loop.
We evaluated five copilots before we picked VDF Code. The deciding factor wasn't completion quality — they were all close. It was the fact that VDF could prove, in writing, that nothing crossed the perimeter. That's the conversation our regulators wanted to have.
Background on the on-prem code-assistant category, Copilot alternatives, and AI governance for engineering teams.
How on-prem code assistants compare on governance, IP safety, and developer velocity.
Replace Microsoft Copilot On-PremMigration playbook for teams replacing cloud-only copilots with sovereign assistants.
AI Governance & Compliance ProblemsWhy regulated engineering teams need policy-enforced AI in the SDLC.
Spin up a pilot in your VPC in days — or run a guided architecture review with our solutions engineering team before committing.