Security-forward architecture
Mesh token protection, node approval gates, and tamper-evident audit patterns reduce accidental exposure.
Private-by-default AI coding platform
What is EdgeCoder?
EdgeCoder helps teams write, test, and operate software with AI while keeping control of their code and compute. It runs locally first, can collaborate across trusted machines, and only escalates to cloud review when you decide.
Local-firstKeep sensitive code on your infrastructure.
Swarm-readyScale hard workloads to trusted nodes.
Operator controlsPolicy, approvals, and audit visibility built in.
How EdgeCoder works
The platform combines an agent runtime, safe execution, and distributed coordination into one control surface. That means engineering teams can move fast without giving up governance.
- Run locally first: agent and execution paths handle most coding tasks on-device.
- Scale selectively: split large tasks and route them to approved worker/coordinator nodes.
- Keep control: use portal and control-plane workflows for enrollment, approval, and accountability.
Built for privacy-conscious teams
Developer-friendly operations
Portal onboarding, passkeys/SSO, credit and wallet workflows, and service health visibility are built into the stack.
Flexible deployment model
Run on your laptop, in your private environment, or in segmented production topologies with dedicated control planes.
Real-world governance
Explicit approval and enrollment workflows help organizations operate AI coding safely at team and enterprise scale.