We develop Cyréna, an AI-native engineering platform that runs alongside your IDE, not inside it. Built to help developers ship, maintain, and evolve software with greater speed, control, and long-term maintainability.
Cyréna runs on your machine, alongside your IDE. She reads your code, understands your constraints, and helps build solutions that actually compile and integrate into real projects. You bring the models. Cyréna orchestrates the workflow.
Every action runs through a controlled loop: read project plan, search references, inspect files, make a minimal edit, build, repair, persist knowledge. Chat memory resets each iteration. Structured knowledge survives.
Cyréna enforces strict project structure rules. The agent cannot invent random folder layouts or escape the project boundary. For .NET, structured folders. For Arduino, flat sketches. Different domains, same discipline.
Cyréna rebuilds system instructions around the current task and active capabilities. Embedded workflows get embedded-focused behaviour. Web workflows get web-focused behaviour. The environment adapts automatically.
Enable or disable capabilities per chat or workflow. Disabled tools are not merely hidden. They cease to exist from the model's perspective. Workflows stay focused, context overhead stays minimal.
Queue sequences of instructions and let Cyréna work through them automatically. Build documentation. Generate code. Update references. Continue while you work elsewhere.
Use Ollama locally. Use OpenAI in the cloud. Switch between them mid-workflow. Your infrastructure, your choice.
Cyréna did not begin as a startup idea. It began as an internal engineering problem. As we expanded the systems we were building, including financial technology platforms, we needed tooling that fit how we actually work.
So we built our own.
Cyréna is part of how we build software internally. Not a side experiment. We use it across embedded firmware, application development, and the documentation that holds long-running projects together. The goal is not AI for the sake of AI. It is practical engineering systems that help teams ship and maintain real software.
Arduino and PlatformIO workflows. Firmware generation. Hardware integration. Project-aware embedded development assistance.
.NET, Angular, APIs, services, desktop systems, and internal tooling. Real production code, not toy demos.
API references, architectural notes, workflow documentation, and project memory, all generated from the code that is actually shipping.
Persistent context: API references, sticky notes, project-scoped memory, architecture rules, coding conventions. The AI reasons from real documentation grounded in real code.
Prompt queuing and workflow automation let multi-step engineering tasks continue in the background while developers focus elsewhere.
Cyréna is built around real engineering constraints. Not generic chat interactions. Not browser-only workflows. Not a single vendor's roadmap.
Runs as a desktop application. No dependency on browser tabs or SaaS-only workflows.
Your projects can remain entirely on your own machine. The cloud is optional, not required.
Engineering memory lives with the project itself. API references, architecture rules, conventions. Not lost between sessions.
System behaviour changes dynamically depending on the task. No one-size-fits-all prompts.
Cyréna is built on an extension architecture. A platform, not a fixed tool. Capabilities expand through extensions and integrations.
Cyréna keeps a rolling backup of up to 20 versions across sessions. Always review AI edits. Rollback is there when you need it.
Modern engineering spans multiple ecosystems. Each domain has different constraints, tooling, and architectural patterns. Cyréna adapts accordingly. New domains can be added through extensions.
Cyréna running a full development session inside a real .NET C# project. Not code generation. An engineering agent working inside a project.
Cyréna is evolving into a practical AI-native engineering environment focused on helping developers and teams ship maintainable software faster, and with greater confidence. Runs alongside your IDE. Stays on your infrastructure. Yours to extend.
