Skip to content
| Marketplace
Sign in
Visual Studio Code>Programming Languages>VibeAtlas - Make AI Coding Agents Actually WorkNew to Visual Studio Code? Get it now.
VibeAtlas - Make AI Coding Agents Actually Work

VibeAtlas - Make AI Coding Agents Actually Work

vibeatlas

|
25 installs
| (0) | Free
The reliability infrastructure for AI coding. Trained governance model (<5ms), semantic search + ML, auto-activating plugins. Fixes context overflow, attention drift, missing guardrails. 95% task completion. Works with Claude, Copilot, Cursor.
Installation
Launch VS Code Quick Open (Ctrl+P), paste the following command, and press enter.
Copied to clipboard
More Info

VibeAtlas - Make AI Coding Agents Actually Work

The reliability infrastructure for AI coding. 70% of AI agent runs fail. We fix context overflow, attention drift, and missing guardrails with a trained governance model, semantic search, and intelligent plugins that auto-activate based on your project.

Version License GDPR

Install from Marketplace | Documentation | Support


The Problem

70% of AI coding agent runs fail or go off-track.

Your AI agents break because of three infrastructure problems:

  • Context overflow: Token limits hit mid-task, agent loses everything
  • Attention drift: Long sessions cause focus to wander from critical code
  • No guardrails: Agents generate insecure code, leak secrets, violate policies

Debugging is impossible. Costs explode. Tasks don't complete.

The Solution

VibeAtlas is the reliability layer that sits beneath your AI coding tools. We don't replace Claude, Copilot, or Cursor - we make them actually work.

Result: 95% task completion rate.

Your Code
    |
    v
[VibeAtlas Reliability Layer]
    |
    +-> Trained SLM Governance Model (real-time guardrails)
    +-> Semantic Search + ML Intelligence (understand your codebase)
    +-> Auto-Activating Plugins (adapt to what you're building)
    +-> Context Optimization (prevent overflow)
    |
    v
Reliable AI Agent -> Tasks Actually Complete

What Makes VibeAtlas Different

1. Trained Governance Model (Not Just Rules)

We trained a Small Language Model specifically for AI coding governance:

Capability Details
Latency <5ms p95 (real-time, doesn't slow you down)
Coverage OWASP LLM Top 10 + CWE Top 25 (53 violation categories)
Fallback 4-layer chain: ML Model -> Rules -> Pattern Match -> Safe Default
Actions ALLOW, BLOCK, FLAG, ESCALATE (configurable policies)

The model catches:

  • Prompt injection attempts (direct, indirect, jailbreaks)
  • Secret/credential exposure in generated code
  • SQL injection, XSS, command injection patterns
  • HIPAA, SOC2, GDPR compliance violations
  • System prompt leakage attempts

This isn't regex matching. It's a trained model that understands code context.

2. Semantic Search + ML Intelligence

We use machine learning throughout the system:

Component Technology Purpose
Code Search Hybrid search (BM25 + Vector + AST) Find code by meaning, not just keywords
Embeddings MiniLM (384-dim), UniXcoder planned Semantic understanding of your codebase
Cost Prediction Linear regression model Predict resource usage before loading features
Session Health Velocity prediction (75% accuracy) Warn before you hit token limits

The hybrid search combines three signals with Reciprocal Rank Fusion:

  • BM25 (30%): Traditional keyword relevance
  • Vector (50%): Semantic similarity via embeddings
  • AST (20%): Code structure awareness

Result: 40%+ better search accuracy than keyword-only.

3. Plugins That Auto-Activate Based on Your Project

Plugins don't just sit there - they activate intelligently:

You open a TypeScript React project
    |
    v
ProfileBuilder detects: TypeScript, React, maybe Auth domain
    |
    v
IntelligenceGate calculates ROI for each plugin
    |
    v
Only profitable plugins activate (ROI >= 100%)
    |
    v
Zero cost overhead guaranteed

The Intelligence Gate evaluates every plugin:

  • Cost: Latency (ms) + Memory (MB) + Startup time
  • Savings: Tokens saved + Dollars saved + Historical hit rate
  • Decision: Only activate if savings exceed costs

This means different plugins load for a Python ML project vs a React frontend vs a Go backend. Automatically.

4. Context Optimization That Actually Works

System What It Does Result
Dependency Graph Pre-built, query instantly No re-parsing your codebase
Differential Context Send only changes, not full files 90% noise reduction
Attention Hints Highlight critical sections Agent focuses on what matters
Real-time Updates Incremental graph updates <100ms file change response

Core Plugins

Plugin What It Does Savings
Dependency Context Injects package.json + versions into AI context ~300 tokens/generation
Deprecated API Detector Warns about outdated patterns, suggests modern alternatives ~500 tokens
Duplicate Detector Finds similar code before AI regenerates it ~2000 tokens
Unused Code Scanner Detects dead imports, unreachable code ~150 tokens
Boilerplate Optimizer Suggests targeted fixes vs full regeneration ~800 tokens
Memory Plugin Learns project-specific patterns over time Varies

Plugins execute in parallel with error isolation - one plugin's failure never breaks others.


Performance Guarantees

Metric Guarantee
Context query <50ms
File update <100ms
Governance check <5ms p95
Plugin activation decision <5ms
Total overhead <50ms (imperceptible)

Zero-Cost Guarantee: Intelligence metadata is NEVER sent to the LLM. We optimize context, not add to it.


Quick Start

Installation

# From VS Code Marketplace
ext install vibeatlas.vibeatlas

# Or search "VibeAtlas" in Extensions (Ctrl+Shift+X)

First Use

  1. Install: Extension activates automatically
  2. Work normally: Use Claude, Copilot, Cursor as usual
  3. See reliability: Check status bar for agent health
  4. Review dashboard: Click to see task completion metrics

Zero configuration required. Plugins auto-activate based on your project.


AI Tool Compatibility

Works with any AI coding tool:

  • Claude Code - Full reliability layer
  • GitHub Copilot - Optimized context delivery
  • Cursor - Enhanced completion reliability
  • Cody - Improved code understanding
  • Continue - Context optimization
  • Any AI Tool - Universal compatibility

We're infrastructure, not a replacement.


Enterprise Features

For teams that need compliance:

Feature Details
Built-in Governance OWASP LLM Top 10, CWE Top 25, custom policies
Audit Trail Full logging of all governance decisions
Configurable Policies Fail-open or fail-closed modes
Air-Gapped Option On-premise deployment available
SSO/SAML Enterprise authentication

Compliance certifications targeted: HIPAA, SOC2 Type II, GDPR, EU AI Act 2024.


Privacy & Security

  • Local-first: All processing happens on your machine
  • No data collection: Zero telemetry by default
  • Opt-in analytics: Anonymous usage stats only if you enable
  • Your code stays local: Never transmitted anywhere
  • Governance model runs locally: No cloud dependency

Requirements

  • VS Code 1.105.0 or higher
  • Node.js 18+ (for some features)
  • Git (for differential context)

Configuration

VibeAtlas works with sensible defaults. Optional settings:

{
  "vibeatlas.contextInjection.enabled": true,
  "vibeatlas.differentialContext.enabled": true,
  "vibeatlas.preventionRules.enabled": true,
  "vibeatlas.securityScanning.enabled": true,
  "vibeatlas.plugins.filterMode": "roi",
  "vibeatlas.plugins.minROI": 100
}

Architecture

+-------------------------------------------------------------+
|                    INTELLIGENCE LAYER                        |
|  SLM Governance  |  Semantic Search  |  ROI Gate            |
+-------------------------------------------------------------+
|                    PLUGIN MANAGER                            |
|  Auto-Activation  |  Parallel Execution  |  Error Isolation |
+-------------------------------------------------------------+
|                    CONTEXT SYSTEMS                           |
|  Dependency Graph  |  Differential Context  |  Prevention   |
+-------------------------------------------------------------+
|                    AI TOOL ADAPTERS                          |
|  Claude  |  Copilot  |  Cursor  |  Cody  |  Universal       |
+-------------------------------------------------------------+

What's New in v2.0

Reliability Infrastructure

  • Trained SLM Governance Model: Real-time guardrails with <5ms latency
  • Semantic Search: Hybrid BM25 + Vector + AST search
  • Intelligence Gate: ROI-based plugin activation
  • 4-Layer Fallback: ML -> Rules -> Patterns -> Safe Default

Context Systems

  • Context Injection: Pre-built dependency graphs, instant queries
  • Differential Context: Git-aware, 90% noise reduction
  • Prevention Rules: 253 rules with 75%+ accuracy

Security

  • 50 OWASP Scanners: Complete Top 10 2021 coverage
  • CWE Top 25: Code vulnerability detection
  • Enterprise Policies: HIPAA, SOC2, GDPR ready

See CHANGELOG.md for full release notes.


The Bottom Line

Your AI coding agents fail because of infrastructure problems, not AI problems.

VibeAtlas fixes the infrastructure.

  • Trained governance model catches issues in <5ms
  • Semantic search understands your codebase
  • Plugins auto-activate based on ROI
  • Context optimization prevents overflow
  • Zero configuration, zero overhead

70% failure rate -> 95% task completion.


Support

  • Issues: GitHub Issues
  • Email: hello@vibeatlas.com

License

MIT License - see LICENSE for details.


The reliability infrastructure for AI coding. Make your agents actually work.

  • Contact us
  • Jobs
  • Privacy
  • Manage cookies
  • Terms of use
  • Trademarks
© 2025 Microsoft