// Introducing Multi-Agent AI Engineering System

AI Agents Spot Breaks

Before You Push Code

Your codebase has secrets. Markar reveals them all.

An autonomous network of AI Agents that maps every function, traces every dependency, and validates changes before they reach production.

◢ MODEL.CORE
0x7F3A · BAYER 8×8
░░░░░ inference layer
// GD1 - THE STUDIO

AI Agents. Dashboard

Watch multi — agent-workflows — execute tasks,built files, and manage your complete repository in your complete repository in real-time.

markar-agent-dashboard.sh
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Markar.ai

Code Intelligence

Free Plan

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Settings

Use your own provider keys or Markar defaults. Saved keys are masked on load.

Full Privacy Control

Use Your Own API Keys

Take complete ownership of your runtime costs. Connect your credentials to use unlimited support for multi-LLMs including OpenAI, Anthropic, OpenRouter, and Gemini for free.

Unlimited execution cycles
Zero markup on model pricing
Switch models on the fly
Enterprise security masking

Advanced intelligence.
No one else has.

Markar goes beyond basic autocomplete. Our platform is engineered with deep architectural awareness and autonomous execution engines.

01

Multi-hop Engine

5-to-6 step chain queries with detective-style investigation. Each step's output dynamically decides the next logical path.

02

Blast Radius (Ripple)

Pre-emptive impact analysis. Know exactly what will break across your entire system before you even commit code.

03

Git Churn Score

Historical graph storage tracking how many times a function changed, who modified it, and exactly when.

04

Deep AST + Neo4j

Comprehensive mapping beyond simple files. We deeply map functions, classes, dependencies, and complex call graphs.

05

Autonomous Sandbox

Code generation meets isolated testing. Generate code, test in a secure isolated container, and automatically PR upon success.

06

Trace Transparency

Full visibility into agent cognition. See exactly what the agent thought, which step it took, and the reasoning behind it.

07

AutoRouter Detection

Intelligent routing that automatically detects user intent and seamlessly dispatches to the correct specialized agent.

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.

STEP 01

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.

STEP 02

Semantic Code Intelligence

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

STEP 03

Ship with Confidence

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

0

Lines of code analyzed this month

Designed for Engineering
Teams at

From fast-moving startups to Fortune 500 enterprises

zomato
Razorpay
CRED
PhonePe
meesho
zepto
BrowserStack
freshworks
ZOHO
Postman
unacademy
Groww
NYKAA
zomato
Razorpay
CRED
PhonePe
meesho
zepto
BrowserStack
freshworks
ZOHO
Postman
unacademy
Groww
NYKAA
zomato
Razorpay
CRED
PhonePe
meesho
zepto
BrowserStack
freshworks
ZOHO
Postman
unacademy
Groww
NYKAA
zomato
Razorpay
CRED
PhonePe
meesho
zepto
BrowserStack
freshworks
ZOHO
Postman
unacademy
Groww
NYKAA
Google
Microsoft
amazon
Meta
ORACLE
salesforce
IBM
accenture
Infosys
TCS
HCLTech
Google
Microsoft
amazon
Meta
ORACLE
salesforce
IBM
accenture
Infosys
TCS
HCLTech
Google
Microsoft
amazon
Meta
ORACLE
salesforce
IBM
accenture
Infosys
TCS
HCLTech
Google
Microsoft
amazon
Meta
ORACLE
salesforce
IBM
accenture
Infosys
TCS
HCLTech
"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 average debug time
  • • 3 severe incidents/week
  • • Unknown blast radius before push

After Markar

  • • Agentic AI finds root cause in minutes
  • • Full change visibility on every PR
  • • Engineers ship with 100% confidence
Read Case Study

Stop guessing. Start knowing.

Join engineering teams who ship with confidence, not hope.

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