KiniunCorp focuses on improving how software is designed, built, and executed in the age of AI.

We build tools and systems that add:

• structure to AI-assisted workflows
• clarity to engineering decisions
• reliability to execution
• traceability across the development lifecycle

Our goal is simple:
turn AI from a powerful assistant into a dependable engineering system.

A structured engineering workflow for AI-driven development.

Spec-To-Ship turns raw AI chat sessions into a real software process — with stages, approvals, and persistent state — while remaining fully chat-native and tool-agnostic.

• Works with Claude Code, Codex, OpenCode
• No lock-in, no platform dependency
• Designed for real-world engineering workflows

👉 https://github.com/KiniunCorp/spec-to-ship

We believe:

• AI is powerful, but unstructured workflows create risk
• Engineering requires process, not just output
• Tools should remain simple, transparent, and composable
• Open source should be genuinely useful — not crippleware

Our work reflects these principles.

Our projects are built as real open-source software.

• No core functionality is paywalled
• No artificial limitations between free and paid versions
• Sponsorship supports development — it does not unlock features

If our work is useful to you or your team, consider supporting the projects directly.

For teams exploring structured AI workflows or adopting tools like Spec-To-Ship, we may offer:

• setup and enablement guidance
• workflow design
• architecture and process reviews

These are separate from open-source sponsorship and scoped independently.

KiniunCorp is focused on a long-term vision:

• making AI-native engineering reliable
• enabling teams to scale AI workflows safely
• building systems that connect planning, execution, and validation

More projects will be introduced over time.

KiniunCorp is an independent engineering initiative led and maintained by Gus Chiriboga.

Gus is a systems engineer focused on cloud, DevOps, and platform design, with a strong interest in building structured, reliable workflows and solutions for AI-driven development.

• turning complex systems into clear, executable processes
• bridging product thinking and engineering execution
• designing tools that scale with real-world usage

Spec-To-Ship and related projects reflect this approach.

• GitHub: https://github.com/guschiriboga
• Website: https://gusch.me

For project-related topics, use the relevant repository.

For other inquiries, you can reach out via GitHub.

Building systems, not just tools.