VS Code Extension

Give developers AI.
Keep control.

AI superpowers for your developers — connected to your knowledge bases, governed by your policies, centrally managed.

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Requires work.studio Platform • Deploy in your cloud or on-premise

Visual Studio Code — payment-service.ts
Governed
// payment-service.ts
export async function processPayment
// TODO: Add Stripe integration
Policy INT-042 enforcedDirect 3rd-party calls blocked. Route via Integration Platform.
Acme Corp AIGoverned
How do I call Stripe directly?
Per Policy INT-042, direct 3rd-party API calls aren't permitted.
Go through the Integration Platform team for centralized external system access. This ensures PCI compliance and audit logging.
Access level: Engineering
Policies applied: 3 active
Logged to audit trail

Not just another AI copilot

Enterprise governance built in. No add-ons, no workarounds.

Your Context, Not Generic

Connected to your knowledge bases, documentation, and code patterns. AI that understands how your team actually works.

Policies Enforced Automatically

Security policies, coding standards, compliance rules — enforced even when developers don't know they exist. Server-side, not optional.

Thin Client Architecture

VS Code is just the interface. No data cached locally, no local setup. Everything lives centrally and is access-controlled.

Server-Side Access Control

Who can query which knowledge bases? Who sees what code? Permissions enforced centrally — sensitive data isn't shared with everyone.

Full Visibility

Admins see usage per developer, costs per project, policy violations in real-time. Compliance reports on demand.

One Governed Channel

All AI usage goes through work.studio. No shadow AI, no unapproved tools, no data leaking to random services.

Centralized Control

IT stays in control

No local data sync. No setup on developer machines. Everything lives on your servers — access controlled, policy enforced, fully audited.

Engineering sees code patterns. Finance sees financial docs. HR sees HR policies. Each team gets what they need — nothing more.

Knowledge base access control
Control who can query which repositories — Engineering vs. Finance vs. HR
Policy enforcement
Security policies applied automatically, even ones developers don't know exist
Approved model list
GPT-4, Claude, Llama — you choose which models are allowed
Per-developer budgets
Set token limits per person, team, or project
PII & secrets blocking
Block credit cards, SSNs, API keys automatically
Real-time audit
Every prompt and response logged — compliance reports on demand

Developer Usage Dashboard

Last 7 days
JD
John Doe
Engineering
2,340 tokens
Within budget
SM
Sarah Miller
Data Science
4,120 tokens
80% of limit
MK
Mike Kim
Platform
1 policy violation
API key in prompt
Total this month127,450 tokens • $3.82

“Why not just use Copilot?”

GitHub Copilot is excellent for individual developers. But enterprises need more:

Central control over what AI tools developers use. Knowledge bases specific to your company. Audit trails. Budget controls. The ability to choose or mix models.

Generic AI Copilots
work.studio Extension
✗Code sent to vendor servers
✓Code processed centrally (your choice where)
✗Uses public training data
✓Uses your codebase and documentation
✗Generic patterns for everyone
✓Your conventions, your standards
✗IT has no visibility
✓Full audit trail, per-developer reporting
✗No cost control
✓Budgets, limits, chargebacks
✗Each developer picks their AI tool
✓One governed channel for AI

The work.studio extension works alongside existing tools — it's not about replacing Copilot, it's about adding enterprise governance and your organization's context.

AI for developers. Control for IT.

Give your team AI superpowers without giving up governance.

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