Software Built for Scale and Speed
Litenova Solutions designs and ships cost-effective, distributed software systems augmented by AI at every stage of the development lifecycle.
How We Work
Our Approach
Efficiency & Automation
Reducing manual overhead and human error through smart, targeted automation at every layer.
Distributed Systems
Expert consulting and delivery for high-throughput, fault-tolerant, scalable architectures.
Modern Technology
Selecting proven, modern tools and frameworks that reduce risk and accelerate delivery.
Open Source
Building on and contributing back to community-driven software that the industry depends on.
Development Workflow
AI-Driven Development
We use AI across architecture, implementation, review, and testing. That cuts cycle time and catches issues earlier.
AI-Augmented Engineering
Engineers work with AI coding agents on design, implementation, review, and testing. Routine work gets automated; architecture and trade-offs stay with the team.
Architecture Review
AI-assisted review of trade-offs, dependencies, and performance bottlenecks before we commit to a design.
Faster Delivery
Boilerplate, docs, and tests get generated early so validated designs reach production sooner.
Security by Default
Static analysis and AI-powered vulnerability scanning are part of every pipeline, not a post-release afterthought.
Production Feedback
Telemetry from production feeds back into prioritisation so we fix what actually matters.
Engineer Review
Every AI output is reviewed and signed off by an engineer before it ships.
Open & Transparent
Engineering Standards
We publish our internal engineering standards publicly on GitHub. The document covers everything from architecture conventions and code style to branching strategy, API design, and AI-assisted workflow guidelines.
We publish them so clients and contributors know what to expect, and so we stay accountable to our own rules.
Read the Engineering StandardsArchitecture & Design Patterns
Clean Architecture, CQRS, Domain-Driven Design, and API-first conventions.
Code Quality & Style
Language-specific guidelines, naming conventions, and review checklists.
AI Workflow Guidelines
How AI tooling is integrated into code generation, review, and testing processes.
Git & CI/CD Conventions
Branching strategy, commit message format, and pipeline standards.
What We Ship
Our Projects
Products we build and run ourselves.
Entro.to
Event ticketing for organizers of any size. Built for high throughput and low operational overhead.
LiteBus
A lightweight, easy-to-use in-process mediator for implementing Command Query Separation (CQS) in .NET. Built with minimal reflection for real-world performance.
LitePress
Public site, admin dashboard, and .NET API for publishing. Built to our Engineering Standards. Open source; free for noncommercial use.