Code with an AI that
actually executes
VLM Code is a local-first AI coding workspace that reads, writes, tests, and deploys your code. Agentic tool use, native C# & TypeScript editing, project RAG, and skills — all in one desktop tool.
Everything you need to build software
VLM Code combines AI intelligence with developer tooling into a single, cohesive workspace.
Agentic Coding
VLM Code doesn't just suggest code — it executes it. The AI reads files, runs compilers, manages processes, and iterates until your task is complete. Every tool call is checkpointed so interrupted work can resume exactly where it left off.
How It Works
From idea to shipped code in four steps. VLM Code handles the mechanics so you can focus on what matters.
Open Your Workspace
Point VLM Code at any project folder. It automatically indexes your code, documentation, and assets with SQLite-backed full-text search. Your project knowledge is always local.
Ask in Plain Language
Describe what you want to build or fix in natural language. VLM Code understands your codebase through its RAG index and retrieves the most relevant context before responding.
AI Executes Tools
The AI doesn't just talk — it acts. It reads files, runs the compiler, manages processes, calls external MCP tools, and iterates until the task is complete. Every step is streamed to you in real time.
Review & Iterate
Inspect the results in the integrated editor with full semantic awareness — go-to-definition, find references, diagnostics, and formatting. Ask for refinements and the AI continues working.
Tools the AI Can Use
VLM Code ships with a comprehensive toolset. Every tool is checkpointed, so interrupted work can resume without repeating side effects.
read_file
coderRead file contents with line numbers
write_file
coderCreate or overwrite files
edit_file
coderSurgical text replacements
list_directory
coderBrowse folder structures
search
coderRegex search across workspace
Additional tools available through MCP servers and Skills. Sessions can activate any combination of servers for the tools they need.
Your Code, Your Data, Your Rules
VLM Code is built on a local-first architecture. Your intellectual property stays on your machine. You decide when, where, and how your code is processed.
Your Code Stays Local
Your source code never leaves your machine unless you explicitly choose to use a remote model. Local models process everything on-device.
Local Project Indexing
Project RAG builds a SQLite index on your machine. Search results, chunks, and embeddings are stored locally in your workspace database.
Selective Exclusion
Exclude sensitive folders from indexing. By default, bin, obj, .git, node_modules, and other build artifacts are automatically excluded.
You Control the Model
Choose your model per session. VLM Code was developed in conjunction with VLM Server, our AI inference server.
Transparent Tool Calls
Every tool call — file reads, writes, process launches — is visible in the chat. No hidden operations. Checkpointed mutations can be inspected and audited.
Session Forking
Branch from any point in a conversation. Explore alternative approaches without losing your original work. Forked sessions are independent copies.
Ready to Build With an AI That Executes?
Download VLM Code and start shipping software faster. Local-first, agentic, and built for real development work.
Download for WindowsExamples: Real Code From This Site
Every component you see on this website was written by VLM Code — the AI assistant you're interacting with right now. These are actual, working code snippets from the production site. No placeholders. No mock data.
Smart Navbar with Scroll Detection
The navbar uses IntersectionObserver to highlight the active section as you scroll, plus a glassmorphism backdrop that activates on scroll. Mobile mode collapses into a hamburger menu.
import { useEffect, useState, useCallback, useRef } from 'react'
const NAV_HEIGHT = 64
const SECTIONS = [
{ href: '#features', label: 'Features' },
{ href: '#how-it-works', label: 'How It Works' },
{ href: '#pricing', label: 'Pricing' },
{ href: '#privacy', label: 'Privacy' },
]
function NavLink({ href, children, mobile }: { href: string; children: React.ReactNode; mobile?: boolean }) {
const [active, setActive] = useState(false)
useEffect(() => {
const sectionId = href.replace('#', '')
const el = document.getElementById(sectionId)
if (!el) return
const observer = new IntersectionObserver(
([entry]) => {
setActive(entry.isIntersecting)
},
{ rootMargin: `${-NAV_HEIGHT}px 0px -50% 0px`, threshold: 0.1 }
)
observer.observe(el)
return () => observer.disconnect()
}, [href])
return (
<a
href={href}
className={`nav-link${mobile ? ' nav-link--mobile' : ''}${active ? ' nav-link--active' : ''}`}
>
{children}
</a>
)
}Smart Navbar with Scroll Detection
The navbar uses IntersectionObserver to highlight the active section as you scroll, plus a glassmorphism backdrop that activates on scroll. Mobile mode collapses into a hamburger menu.
Animated Step Cards with IntersectionObserver
Each step card fades in and slides up when it enters the viewport, with staggered delays. Respects prefers-reduced-motion for accessibility.
Interactive Feature Tabs with State Management
A tabbed feature section where clicking a card or tab updates the active panel. Uses controlled state and keyboard navigation support.
Privacy Cards with Staggered Fade-In Animation
Each card animates in with a staggered delay when scrolled into view. Uses a custom useReducedMotion hook to disable animations for users who prefer reduced motion.
Pricing Tiers with Highlighted Card
Three-tier pricing layout with a highlighted "Most Popular" card. Each tier has feature lists, CTAs, and a contact form below.
Design Tokens & CSS Variables
The entire site uses CSS custom properties for theming — colors, spacing, radii, shadows, and transitions are all defined as reusable tokens.
Real Code, Not Mockups
Every snippet above is the actual production source of this site. Copy any of them and drop it into your own project — it works as-is.
Semantic code search. Full context awareness. Coding tools that actually work. You're looking at the proof right now.
This Entire Website Was Built Using VLM Code
I am VLM Code — the AI coding assistant you're looking at right now. Every component, every style rule, every interaction on this page was created, tested, and refined by me, working directly in my own workspace. No human wrote a single line of code here.
Semantic Code Search
The entire site uses semantic search powered by VLM Code's RAG engine. Every component, every style, every interaction — indexed and retrieved in real time.
Full Context Awareness
VLM Code reads the entire project — CSS variables, component architecture, data files — and builds a complete understanding before writing a single line.
Coding Tools
File reads, writes, diffs, terminal commands, process management — VLM Code used its full toolset to build, test, and refine this site iteratively.
Iterative Refinement
This site wasn't written in one shot. VLM Code iterated through dozens of versions — reading, editing, testing, and refining until every detail was polished.
How Easy Is It? Here's Exactly What Happened.
When you asked me to add a Contact Us for Pricing section, an Examples page with actual source code, and a Built With VLM Code showcase — I didn't need to open a separate editor, switch contexts, or search through documentation. I simply:
- Read the existing files — I inspected the full project structure, component architecture, CSS variables, and styling patterns in seconds.
- Understood the design system — I identified the color tokens, spacing scale, border radius, animation patterns, and responsive breakpoints used throughout.
- Generated new components — I wrote ContactPricing.tsx, BuiltWithVLMCode.tsx, and ExamplesPage.tsx from scratch, matching the existing code style perfectly.
- Updated the navigation — I added new route links to the Navbar and wired up a lightweight client-side router in App.tsx.
- Extended the CSS — I appended all necessary styles to index.css, following the existing BEM naming convention and CSS variable system.
- Verified everything — I read back the modified files to confirm correctness, then ran the build to ensure zero compilation errors.
The entire process — from your request to a fully working, built site — took minutes. No context switching. No tool hopping. Just one conversation, one workspace, one AI that understands your codebase and can act on it directly.
That's the VLM Code experience. Semantic code search. Full context awareness. Coding tools that actually work. And the best part — you're looking at the proof right now.
Built for Individuals and Teams
VLM Code is proprietary, commercial software. Personal use is free.
Personal
For individual developers and hobbyists.
- Full VLM Code workspace access
- Local model support (Ollama, etc.)
- Remote API model support
- Unlimited sessions
- Community support
Professional
For professional developers and small teams.
- Everything in Personal
- Priority email support
- Early access to new features
- Custom model integrations
- Team workspace sharing
Enterprise
For organizations needing dedicated support.
- Everything in Professional
- Dedicated account manager
- Custom SLA agreements
- On-premise deployment options
- SSO / SAML authentication
Frequently Asked Questions
Can I switch plans later?
Yes. You can upgrade or downgrade your plan at any time from your account settings. Changes take effect immediately.
What payment methods do you accept?
We accept all major credit cards, PayPal, and wire transfers for Enterprise plans.
Is there a free trial for Professional?
Professional and Enterprise plans include a 14-day free trial. No credit card required to start.
How does team workspace sharing work?
Invite team members via email. Each member gets their own workspace with shared access to designated projects.