AI-POWERED
DEVELOPMENT.
We combine cutting-edge multi-agentic AI frameworks with 15+ years of full-stack expertise to deliver solutions 10x faster than traditional development.
Multi-AgenticAI
We deploy specialized AI agent networks that collaborate to solve complex business logic, software engineering, and data analysis tasks.
- LangChain & LangGraph
- Vector Database RAG
- Autonomous Logic Synthesis
Full-StackSolutions
High-performance applications architected for global scale, leveraging the latest in frontend and backend technologies.
- React 19 & Next.js 15
- .NET 9 Core / C#
- Microservices Architecture
AIIntegration
Seamlessly inject AI capabilities into your existing systems, transforming static workflows into intelligent, reactive processes.
- Cloud-Native (Azure/AWS)
- CI/CD Pipeline Automation
- Intelligent Data Pipelines
Technical Deep Dive
Behind the scenes of our 10x development velocity
Multi-Agentic
Intelligence
We architect custom multi-agent systems using LangChain and LangGraph. Unlike traditional linear bots, our agents plan, reason, and self-correct across complex software lifecycles.
- Contextual memory
- Tool augmentation
- Agent supervision
- 90% less manual QA
- Zero-bug deployments
# Define Autonomous Graph
from langgraph.graph import StateGraph
workflow = StateGraph(AgentState)
workflow.add_node("architect", plan_node)
workflow.add_node("engineer", code_node)
workflow.add_node("validator", test_node)
# Compile with self-healing cycles
app = workflow.compile()// Enterprise Backend v9.0
public class AIController : ControllerBase {
private readonly IAIService _ai;
[HttpPost("orchestrate")]
public async Task<IActionResult> Execute() {
var result = await _ai.RunStreamAsync();
return Ok(result);
}
}Full-Stack
Precision
Built on C# .NET 9 and React 19/Next 15. We prioritize extreme performance, type-safety, and horizontally scalable cloud architectures.
Legacy
Modernization
Breathe new life into legacy systems. We utilize AI to refactor monolithic codebases into modern, containerized microservices on Azure and AWS.
# Infrastructure as Code
resource "azurerm_kubernetes_cluster" "ai_grid" {
name = "starlight-prod"
location = "East US"
dns_prefix = "starlight-ai"
default_node_pool {
vm_size = "Standard_D2_v2"
}
}