codebase scale
Large existing systems
Help engineers work through sprawling repositories, legacy areas, and interconnected services without losing the surrounding context.
installable AI coding platform
Mjolnir
AI coding for teams working in large existing codebases, inside controlled environments.
Mjolnir helps engineering teams plan, change, and review large existing codebases with AI assistance that stays reviewable, governed, and deployable inside airgapped, restricted, or tightly managed environments.
why mjolnir
For teams that need AI coding help on real code, not toy repos or loosely controlled cloud workflows.
Mjolnir is built for engineering teams working in large existing codebases where every change needs context, review, and a clear path back to the source.
It fits organizations that need AI assistance inside browser-based internal tools, managed networks, and deployment models that can stay on company infrastructure, in restricted environments, or fully airgapped when required.
where it fits
Designed for software teams that need AI to fit existing engineering controls.
review
Reviewable AI-assisted changes
Keep generated edits, proposed actions, and approval paths visible so teams can inspect what happened before anything lands.
deployment
Internal and airgapped deployment
Run the platform on infrastructure that fits the program, from tightly managed internal environments to isolated networks.
core capabilities
Built for enterprise teams working on managed devices, internal networks, and disconnected infrastructure.
Code-aware workflows
Support engineering work in large existing repositories with real dependencies, change history, and system context that cannot be dropped.
Controlled execution
Keep AI activity inside defined workflow paths so teams can govern what the platform can read, change, or trigger.
Reviewable outputs
Make proposed changes and actions visible so engineering, security, and platform teams can inspect them before approval.
Internal deployment model
Deploy on company-managed infrastructure, with options for restricted networks and fully airgapped environments.
Restrained interface design
Keep the product readable and deliberate so teams can move quickly without hiding the details that matter.
advisory support
Consulting is available for teams deploying Mjolnir or extending closely related internal engineering workflows.
Thorsy supports Mjolnir deployment, integration, and selected architecture work around internal engineering systems and connected frameworks.
Consulting is secondary to the platform and focused on helping teams fit Mjolnir into real delivery, review, and security constraints.
contact
Discuss Mjolnir if your team needs AI coding support inside a secure internal environment.
If you're evaluating AI coding tooling for a large existing codebase, send a note with the team context, repository shape, review requirements, and deployment constraints.
direct channel
hello@thorsy.comProduct conversations, deployment questions, and limited implementation support.