Your Codebase Has Secrets.
Markar Reveals Them All.

The AI Software Architect that maps every function, traces every dependency, and tells you exactly what breaks before you push.

Analyze Your RepoBook Demo

├── main.py

├── auth_service.py

├── user_router.ts

├── db.go

├── payment_handler.rs

├── api_gateway.java

async def create_user(email: str, password: str):
validated = await validate_email(email)
user = await save_to_db(User(email, password))
await send_welcome_email(user)
return user

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Functions Mapped

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Languages Supported

0

Production Surprises

0+

AI Agents Working

Live Knowledge Graph

Every relationship in your codebase - visualized

criticalhighmediumlowisolated

Markar is not a linter. Not a formatter. It's your AI Software Architect.

Markar puts extra weight on system design and living documentation: it helps leaders and Staff+ engineers reason about architecture, and it helps new developers onboard faster by explaining how the codebase actually fits together. It also supports spec-driven development—keeping intent, structure, and implementation aligned—through deep codebase understanding grounded in your real dependency and call graphs.

See the Blast Radius

Change one function. Markar instantly shows you every file, class, and function that will break - before you write a single line.

Semantic Code Intelligence

Beyond static analysis. Markar understands what your code DOES - function call chains, API routes, service dependencies, and execution paths.

Ship with Confidence

Get an 8-step migration plan, severity scores from ISOLATED to CRITICAL, and AI-generated refactoring suggestions - automatically.

Inside Markar's Intelligence Engine

Watch how Markar turns 500 files into a living knowledge graph

> github.com/acme/repo typed...

Cloning repository... ████████ 100%

Languages detected: Python, TypeScript, Go

Functions: ... | Classes: ...

def create_user()

class AuthService

import jwt

func HandlePayment()

Step 1

Connect Your Repository

GitHub URL is typed, repo cloned, files counted, and languages detected.

941 files

Step 2

AST Parsing Begins

Line-by-line parsing identifies functions, classes, imports, and critical dependencies.

Functions: 6,872 | Classes: 1,406

Step 3

Knowledge Graph Construction

Nodes fly in and edges are drawn to build your dependency intelligence model.

9,219 nodes | 8,341 relationships

Step 4

AI Agents Analyze

Blast Radius, Security, QA, and documentation-focused agents analyze distinct regions of the graph.

Risk overlay complete

Step 5

Intelligence Delivered

Critical files, duplicate auth modules, blast radius, and maintainability summary are produced.

Maintainability score: 62/100

From Raw Code to Deep Understanding

Markar reads every line. Understands every relationship.

Your Code

line 1: const fn_0 = () => {};

line 2: const fn_1 = () => {};

line 3: const fn_2 = () => {};

line 4: const fn_3 = () => {};

line 5: const fn_4 = () => {};

line 6: const fn_5 = () => {};

line 7: const fn_6 = () => {};

line 8: const fn_7 = () => {};

line 9: const fn_8 = () => {};

line 10: const fn_9 = () => {};

line 11: const fn_10 = () => {};

line 12: const fn_11 = () => {};

line 13: const fn_12 = () => {};

line 14: const fn_13 = () => {};

line 15: const fn_14 = () => {};

line 16: const fn_15 = () => {};

Markar Parses

FunctionDef
ClassDef
Import
Call
Decorator

Knowledge Graph

0

Functions Analyzed

0

Classes Mapped

0

Relationships

0

Parse Time (x100ms)

40+ Specialized AI Agents

Each agent is an expert. Together they are your engineering team.

MARKAR INTELLIGENCE SYSTEM INITIALIZING...

🧠 Supervisor Agent

> Supervisor Agent... [ONLINE] ✓

Orchestrates all agents. Understands your goal, breaks it into tasks, ensures quality.

🔍 Blast Radius Agent

ACTIVE

> Blast Radius Agent... [ONLINE] ✓

Finds everything that breaks

📊 Dependency Agent

ACTIVE

> Dependency Agent... [ONLINE] ✓

Maps all relationships

🎯 Root Cause Agent

ACTIVE

> Root Cause Agent... [ONLINE] ✓

Traces failures to source

🔧 Refactoring Agent

ACTIVE

> Refactoring Agent... [ONLINE] ✓

Suggests architectural improvements

⚡ Performance Agent

ACTIVE

> Performance Agent... [ONLINE] ✓

Finds bottlenecks and N+1 queries

🛡️ Security Agent

ACTIVE

> Security Agent... [ONLINE] ✓

Detects vulnerabilities and exposed secrets

🏗️ MVP Builder Agent

ACTIVE

> MVP Builder Agent... [ONLINE] ✓

Generates production-ready code from specs

🧪 QA Agent

ACTIVE

> QA Agent... [ONLINE] ✓

Auto-generates tests with 80%+ coverage

📝 Code Review Agent

ACTIVE

> Code Review Agent... [ONLINE] ✓

AI-powered PR reviews

🗺️ Migration Agent

ACTIVE

> Migration Agent... [ONLINE] ✓

Safe 8-step change planning

💬 Codebase Q&A Agent

ACTIVE

> Codebase Q&A Agent... [ONLINE] ✓

Ask anything about your code

blast_radius_agent analyzing auth_service.py... | qa_agent generating tests for UserController... | security_agent checking for exposed secrets... | docs_agent summarizing architecture for onboarding... |

{
  "function": "create_user",
  "calls": ["validate_email", "save_user_db", "send_welcome_email"],
  "called_by": ["auth_router.register", "admin.bulk_create"],
  "blast_radius": "CRITICAL",
  "affected_files": 23
}

Know Exactly Who Calls Whom

Markar traces every function call relationship in your codebase. See the complete call chain - who calls what, what breaks if you change it, and how to safely refactor.

create_user →validate_email →check_domain →DNS 
/auth/login -> login_controller -> jwt_service -> db -> redis
/api/users -> user_router -> UserService -> PostgreSQL

Every Entry Point. Every Route. Mapped.

FastAPI routes, Express endpoints, Next.js pages, React components, CLI commands, background workers - Markar finds and maps every entry point automatically.

Architecture Style: Modular Monolith
Main Risk: Auth system duplicated across 33 files
Most Complex: integrations module
Maintainability Score: 62/100

Your AI Software Architect

Markar doesn't just show data - it understands your architecture. Get plain-English explanations of risks, recommendations, and a maintainability score.

PYJSTSGOJAVARUST
Python | JavaScript | TypeScript | React/TSX | Java | Go | Rust | C | C++ | C# | Ruby | PHP | Kotlin

Every Language Your Team Uses

15+ languages supported via tree-sitter AST parsing. Mixed-language repos - Python backend + React frontend - analyzed as one unified knowledge graph.

0

Lines of code analyzed this month

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Zomato
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PhonePe
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Zepto
BrowserStack
Freshworks
Zoho
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Unacademy
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Slice
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CRED
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Zepto
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Google
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Google
Microsoft
Amazon
Meta
Oracle
Salesforce
IBM
Accenture
Infosys
TCS
Wipro
HCL
"Markar found a critical dependency chain bug that would have taken our team 3 days to debug manually." — Engineering Lead, Series B Startup
"The blast radius detection alone saved us from 2 production incidents in the first week." — CTO, Fintech Company
"Finally, we can refactor without fear. Markar shows exactly what will break before we push." — Senior Engineer, E-commerce Platform

How a 50-engineer team at a Series C startup reduced production incidents by 73%

Before Markar: 6 hrs debug time | 3 incidents/week | Unknown blast radius

After Markar: 12 min debug time | 0.8 incidents/week | Full visibility

Read Case Study

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