What is Agent-Assisted Development?

Agent-Assisted Development is Golabs' next-generation software engineering model that blends senior human expertise with autonomous AI agents across the entire development lifecycle.

Instead of relying on manual effort or narrow AI coding assistants, Golabs orchestrates specialized AI agents for complete end-to-end development workflows.

"This model transforms experienced engineers into high-leverage AI orchestrators."

System Design

Architecture and planning

Code Generation

Automated development

Testing & Validation

Quality assurance

Security

Vulnerability scanning

Performance

Code optimization

Documentation

Auto-generated docs

Deployment

Infrastructure setup

Maintenance

Updates & patching

AI

Why Traditional AI & Software Development Fails

Organizations attempting to adopt AI-powered development face serious roadblocks that prevent them from realizing the full potential of modern technology.

Technical & Talent Challenges

  • AI technologies evolve too quickly for most internal teams
  • Senior AI engineers are expensive and difficult to retain

Product & Scalability Gaps

  • Generic, one-size-fits-all AI tools ignore real-world workflows
  • No-code and low-code platforms fail under complex business logic

Delivery & Cost Inefficiencies

  • Large teams and long cycles do not guarantee innovation
  • High costs with inconsistent results remain the norm

3-4×

Faster Delivery

40%+

Cost Savings

High

Code Quality

95%

Team Satisfaction

Human-Led, AI-Accelerated Engineering

Golabs solves these challenges with a hybrid human-AI engineering model that combines the best of both worlds.

Core Differentiator

The AI Orchestrator

At the core of every engagement is a Senior Software Engineer (10+ years experience) acting as an AI Orchestrator.

Live Agent Orchestration

Architecture

AI Agents

Human

Security

Deploy

Human Accountability

AI accelerates development without sacrificing accountability, safety, or engineering rigor.

What the AI Orchestrator Does

System Architecture

Designs scalable, maintainable system architecture

AI Agent Selection

Selects, configures, and fine-tunes AI agents

Quality & Security

Oversees code quality, security, and compliance

Production Integration

Integrates AI-generated components into production

Guarantees

Enterprise Security Code Review Compliance Best Practices

How Agent-Assisted Development Works

From concept to deployment, our proven methodology ensures your AI solution delivers real business value.

Step 01

Requirements & Strategy

GOALS ✓
SCOPE ✓

Business goals, constraints, and architecture are defined with a senior engineer.

Step 02

AI Agent Orchestration

Code
Test
Docs
Deploy

Specialized agents are deployed for coding, testing, documentation, and infrastructure.

Step 03

Continuous Quality Control

function validate() {
// AI verified ✓
return true;
}
Tests
Security
Perf
All Passed ✓

AI enforces standards while humans validate outcomes.

Step 04

Production-Grade Delivery

Deploy
Build
Test
Stage
Prod
LIVE IN PRODUCTION

Secure, scalable systems are delivered faster and with less rework.

Ready to Transform Your Development?

Book a strategy call to see how our process can accelerate your next project by 3-4×.

Engineering Impact

Measurable results that transform how you build software.

0-4×

Engineering Efficiency

Multiply your team output

0-70%

Faster Time-to-Market

Reduce development cycles

0%+

Lower TCO

Reduce total cost of ownership

0%

Code Quality

Higher consistency

0%

Future-Proof

Modular, scalable systems

One Golabs engineer equipped with AI agents can match the output of a traditional team of 3–4 engineers.

Agent-Assisted Development

Proven productivity multiplier

Cost Per Line Of Code

Compare the economics of different development approaches

US Developer

$2.88

per 1K tokens equivalent

Offshore Developer

$1.00

per 1K tokens equivalent

BEST VALUE

AI Developer

$0.001

per 1K tokens

AI-Assisted Development delivers 3-4× more output

per engineer compared to traditional teams

* Costs are approximate and based on equivalent output metrics. Actual costs may vary based on project complexity and AI model usage.

Technology & AI Stack

Core AI Models

LLMs:GPT, Claude, Llama, Gemini
Code Models:OpenAI Codex, CodeLlama, DeepSeek Coder
INPUTPROCESSINGOUTPUT

Observability

  • Prometheus, Grafana
  • OpenTelemetry
  • AI agent traces
99.9%
Uptime
12ms
Latency
2.4k
Req/s
LIVE

Human-Centered by Design

Even with advanced AI automation, humans remain at the center. We deliver human-led strategy, AI-driven acceleration, and transparent, secure systems.

Human-ledAI-acceleratedSecure

Build Faster. Build Smarter.Build with Golabs.

Book a strategy call to see how Agent-Assisted Development can accelerate your next product or platform.

Trusted by industry leaders worldwide

✓ Enterprise Security✓ Senior Engineers✓ 10+ Years Experience✓ Proven Results