AI-Powered Code Intelligence Platform

Understand any codebase
in seconds.

LynkMesh builds a semantic knowledge graph of your entire codebase.

So developers and AI can understand architecture, dependencies, and impact of changes instantly.

Multi-language · 100% offline · Graph-based reasoning · AI-ready

lynkmesh analyze
$
[i] Building knowledge graph...
✔ 1,240 nodes, 4,220 edges
⚠ 12 architecture violations
Health Score: 72/100
$ lynkmesh query "SHOW CALL CHAIN FROM LoginController"
🔍 Result:
LoginController → AuthService → UserRepository → Database
Dependency depth: 3 | Risk score: 42

🧠 Visual Intelligence

See how LynkMesh transforms code into actionable graphs.

Codebase Graph

UserController UserService UserRepository Database

LynkMesh maps your architecture layer by layer.

Dependency Graph

AuthController
AuthService TokenService UserRepo

Understand how components interconnect.

Impact Analysis

UserService
UserController OrderController AuthController

See what breaks before you change it.

Architecture Map

Frontend API Layer Service Layer Repository

Visualize your entire system in one glance.

From Source Code to AI Context

Source Code AST Parser Dependency Graph Semantic Graph AI Context

LynkMesh builds a rich knowledge graph that feeds AI tools with full architectural context.

🧩 Problems LynkMesh Solves

Hard to understand large codebases

Thousands of files, hundreds of services. LynkMesh maps it all automatically.

AI doesn't understand architecture

AI coding assistants often fail because they don't know dependencies and flows.

Change impact invisible

Small changes can have big effects. Impact analysis calculates risk before refactoring.

Outdated documentation

Diagrams never update. LynkMesh analyzes source code directly, always accurate.

What is LynkMesh?

LynkMesh is an architecture intelligence engine that performs static analysis on codebases to build call graphs, dependency graphs, architecture layers, service boundaries, business flows, risk analysis, and AI context models. All built automatically from source code.

🔧 Core Technologies

AST Engine

Parses source code to AST (nikic/php-parser for PHP, built-in AST for Python).

Intermediate Representation

Universal format storing classes, methods, calls, dependencies, namespaces.

Call Resolution Engine

Resolves method calls even through inheritance, interfaces, traits, DI.

Unified Call Graph

Large graph depicting whole system relationships.

Architecture Flow Engine

Extracts execution flows from entry points.

Business Flow Discovery

Discovers business logic flows (Order Created → Payment → Inventory → Notification).

Service Boundary Detection

Identifies modules/domains like Auth Service, Payment Service.

Architecture Layer Detection

Detects layers (Controller, Service, Domain, Infrastructure) and violations.

Risk Analysis Engine

Dead code, dependency cycles, god class, shotgun surgery.

Technical Debt Analysis

Excess complexity, unhealthy dependencies, poor modular structure.

Semantic Code Intelligence

Meaning-based code search (authentication logic, payment processing).

Graph Query Language

Interactive query: SHOW CALL CHAIN FROM LoginController.

AI Architecture Context

Generates architecture model for AI coding assistants.

Graph Visualization

Export to Graphviz, D3.js, JSON for visualization.

⚙️ Core Capabilities

Codebase Knowledge Graph

Nodes: class, function, method, file, module. Edges: call, dependency, inheritance, data flow. Complete structural representation.

Deep Call Graph Resolution

Complex resolution: chained calls, framework calls, dependency injection, builder patterns.

Architecture Analysis Engine

Detects service boundaries, layer violations, dependency cycles, tight coupling.

Architecture Reasoning

Explains structure, detects anti-patterns, identifies design risks.

Business Flow Extraction

Extracts flows like Login Flow: Controller → AuthService → UserRepository → Database.

Impact Analysis

Calculates direct/indirect dependents, dependency depth, change risk score.

Semantic Code Index

Meaning-based index for semantic search and AI context.

Architecture Visualization

Export dependency graph, service map, layers to Graphviz/D3/JSON.

✨ Advanced Features

Incremental Analysis

Process only changed files.

Cross-File Type Inference

Infer types even when not explicit.

Framework Awareness

Understands DI, container, builder, repository patterns.

Graph Query Language

Complex queries against code graph.

AI Architecture Context

Context file for AI coding tools.

📈 Analysis Pipeline

From source code to complete architecture model.

AST Parser
IR Builder
Call Resolution
Graph Construction
Architecture Analysis
Flow Discovery
Risk Analysis
Semantic Index
AI Context
Visualization

📊 Output You Get

Architecture Health Score 0–100, measures structural quality
Risk Analysis Dead code, cycles, god class, shotgun surgery
Call Flow Reconstruction Reconstruct call flows
JSON Architecture Report Export data for integration
Semantic Index (FAISS) Embeddings for intelligent search
Metrics & Complexity Cyclomatic complexity, cohesion, etc.

🎯 Use Cases

Codebase Onboarding

New developers understand large systems in minutes.

Architecture Review

Automatically evaluate architecture quality.

Refactoring Planning

Know change impact before starting.

Legacy Understanding

Understand old systems without docs.

AI Assisted Development

Provide architecture context to AI coding tools.

⚡ Why LynkMesh is Different

Tool Understands architecture? Graph reasoning? Impact analysis?
Linter
Static Analyzer⚠ Partial
LynkMesh

🧩 The Missing Layer in AI-Powered Development

Current AI Stack + LynkMesh

AI Model (Claude, GPT, Copilot)
LynkMesh (System Intelligence Layer)
MCP Server (Jenkins, Sonar, Git, etc.)

Without LynkMesh, AI only sees code snippets, lacking system understanding.

LynkMesh provides a system intelligence layer that enables AI to understand architecture, dependencies, and business flows holistically. Result: AI acts like an architect, not just a script runner.

Without: guesswork
With: deterministic

⚡ High Performance

Example: 1,200 nodes, 4,400 edges analyzed in under 4 seconds. Incremental parsing and optimized graph algorithms.

Why LynkMesh?

Not just a static analyzer. It's a code intelligence platform combining:

Static Analysis Knowledge Graph Architecture Analysis Semantic Indexing Reasoning Engine

Vision

“Become the standard platform for understanding large codebases.”

LynkMesh will evolve into an AI-native code intelligence platform, automated architecture analyzer, and backend engine for AI copilots.

Choose Your License

From free for individual developers to enterprise with full support.

Starter

Free

For exploration and small projects.

  • ≤ 100 files
  • Basic static analysis
  • Knowledge graph
  • AI Copilot
POPULAR

Professional

$15/month

For small teams and power users.

  • ≤ 5,000 files
  • Full graph + AI Copilot
  • Semantic index (FAISS)
  • Deep risk analysis

Team

$29/month

Unlimited collaboration.

  • Unlimited files
  • All Professional features
  • Priority support

Enterprise

Custom

For large-scale needs.

  • On-premise deployment
  • Custom audits & SLA

Understand your codebase architecture in minutes

Download LynkMesh now and turn your code into a living knowledge graph.

For Linux, macOS, and WSL. No credit card required.