Ship quality code, faster — without leaking your IP.
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
Copilot-class velocity. Enterprise-class control.
Three commitments that change what AI coding can do for a regulated engineering org.
Architecture-aware by default
Repository-grounded retrieval keeps every completion consistent with your patterns, types, and internal libraries — not what's popular on the public internet.
- Indexes your monorepo, polyrepo, and internal package registries
- Resolves symbols across services before suggesting
- Honors lint rules, naming conventions, and module boundaries
IP-safe by design
Your source code, prompts, and embeddings never join a shared training corpus. License attribution screens completions for copyleft contamination before they reach the editor.
- Zero training on customer code — contractually enforced
- License attribution filter (GPL / AGPL / SSPL detection)
- Per-repository data residency and access scopes
Deploy where compliance demands
Run in your VPC, your data center, or fully air-gapped. The same product — same IDE plugins, same admin portal — across every deployment shape.
- VPC, on-prem Kubernetes, OpenShift, or bare metal
- Air-gapped install with signed offline update bundles
- BYO model gateway — OpenAI, Anthropic, Mistral, Llama, Qwen
Based on aggregated benchmarks across pilot deployments in 2024–2025. Individual outcomes vary by codebase and adoption depth.
Everything modern engineering teams expect — built for the enterprise.
Inline completions, conversational coding, and PR-level reasoning share the same governed backbone.
Inline completions
Sub-200ms ghost-text suggestions tuned to your repository patterns. Multi-line, multi-file aware, and trained to know when to stay quiet.
Chat inside the IDE
Ask the codebase questions, explain unfamiliar functions, draft tests, or walk a junior engineer through a service — all without context-switching to the browser.
Edit mode & multi-file refactors
Issue intent — "rename this entity, propagate the migration, regenerate the test fixtures" — and review a diff. Edit mode operates across files atomically.
Pull request review
Summarize PRs, surface risky diffs, flag missing tests, and write release-note copy. Integrates with GitHub, GitLab, Bitbucket, and Azure DevOps.
Secure-by-default suggestions
OWASP-aware completions, automatic SAST hooks, and one-click secure-fix rewrites for the top vulnerability classes — wired straight into the IDE.
Automated documentation
Generate docstrings, API reference, migration guides, and changelog entries that stay anchored to the code — not to a model's imagination.
Custom model fine-tuning
Fine-tune on your internal frameworks and DSLs without surrendering weights. Hosted in your environment, evaluated against your benchmarks.
Adoption analytics
Per-team acceptance rates, latency, model mix, and cost — visible to engineering leadership without spreadsheet archaeology.
Policy engine
Allow / block models, restrict tools by repository, require approval for privileged operations. Policies are auditable and version-controlled.
A retrieval-grounded assistant — not a guessing machine.
Every completion is rooted in your repositories, scoped by your policies, and routed to a model you control.
Index
Your repositories, internal packages, and architecture docs are embedded inside your perimeter into a vector index you own.
Retrieve
When you type, VDF Code pulls the symbols, prior implementations, and tests most relevant to the cursor — scoped by policy.
Reason
A model you approve generates a suggestion. License attribution, SAST hooks, and policy filters run before the suggestion reaches the editor.
Audit
Every prompt, retrieval, completion, and accept/reject signal is logged — replayable for compliance, evaluation, and incident review.
Engineered for the audits cloud copilots can't pass.
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.
Zero data egress in on-prem mode
No prompts, embeddings, telemetry, or tokens leave the network perimeter. Verifiable through network policy and audit log.
SSO, SCIM, and role-based scopes
Identity, group, and repository-level access. Privileged actions (model swaps, policy edits, fine-tuning) gated behind approval flows.
Immutable, replayable audit log
Every prompt, retrieval, model call, tool invocation, and edit captured with cryptographic chain-of-custody. Ready for regulator review.
EU AI Act & GDPR alignment
Designed against the high-risk system controls. Data residency, model documentation, and human-in-the-loop wiring are first-class concepts.
Meet developers where they already work.
Native extensions, native shortcuts, native feel — across every major IDE and language stack.
IDEs
Languages
Source & CI integrations
Three deployment shapes. One product surface.
Pick the footprint that matches your data classification — the developer experience stays identical.
VDF Cloud
Fastest path to value. Managed by us.
- Sign up and code in under 10 minutes
- EU and US regional data residency
- Automatic updates and observability
- 99.9% uptime SLA
- Per-seat pricing, no token meter
VDF in your VPC
Single-tenant, your cloud account.
- Runs in your AWS, Azure, or GCP account
- Private model endpoints (Bedrock, Azure OpenAI, Vertex)
- Terraform / Helm install with audited bundles
- Your data, your KMS, your logs
- Dedicated customer success engineer
VDF On-Prem
Total sovereignty. Zero egress.
- Air-gapped deployment with signed bundles
- Open-weight model hosting (Llama, Qwen, Mistral, DeepSeek)
- Custom fine-tuning on your DSLs and frameworks
- Hardware reference architectures (NVIDIA H100 / B200)
- White-glove deployment & staff augmentation
VDF Code vs. cloud-only copilots.
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 |
A coding assistant that earns its seat on every team.
Platform & backend engineering
Drive consistency across services, generate boilerplate that respects internal frameworks, and ship migrations with co-edited tests, fixtures, and docs.
Frontend & full-stack teams
Refactor across components, modernize a design system, and bind UI to APIs with type-checked, accessibility-aware completions.
Data & ML engineering
SQL, dbt, Spark, and PyTorch fluency anchored in your own schemas, feature store, and notebook history. Stop pasting between tools.
DevOps & SRE
Terraform, Helm, Kubernetes manifests, and incident runbooks — generated against your conventions, not StackOverflow's.
Security engineering
Surface OWASP risks at write-time, draft secure-by-default replacements, and generate post-mortems from incident timelines.
Legacy modernization
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.
Related foundational reading
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.
Questions engineering and security teams ask first.
Bring the AI coding loop
back inside your perimeter.
Spin up a pilot in your VPC in days — or run a guided architecture review with our solutions engineering team before committing.