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Forward Kubernetes services locally in bulk with automatic hosts file entries.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "io.github.txn2/kubefwd" yet — see the docs or source repo.
Use kubefwd to create local port forwards for all Services in the dev namespace, and show which local hostname mappings will be created so I can test the whole microservice stack on my machine.
Provides runnable kubefwd instructions or commands, plus the generated hosts mappings and how to access the services locally.
Use kubefwd to forward only services with the label app=api in the staging namespace, and tell me how to access those APIs locally by hostname.
Shows how to filter forwarding by namespace and label, and explains the local hostnames and ports for access.
I still cannot access services after running kubefwd. Help me check possible causes including permissions, /etc/hosts updates, cluster connectivity, and port conflicts, and provide troubleshooting steps.
Outputs a kubefwd-focused troubleshooting checklist to identify why local forwarding is failing.
Diagnose Kubernetes cluster issues in natural language and identify likely fixes.
Observe Kubernetes traffic, inspect protocols, and troubleshoot security and performance issues.
Spawn and proxy ephemeral AI agent workspaces on Kubernetes without custom CRDs.
Manage features, ADRs, and test criteria as discoverable knowledge graph artifacts.
Run local processes as Kubernetes pods with real cluster env and traffic
Turn specs into working product code with an autonomous MCP coding agent.