You develop software across a powerful workstation, a MacBook on the go, a Linux build server, maybe a home lab. You run local dev servers, debug remote services, and collaborate with teammates who need access to your environment. You value control, security, and zero-friction workflows.
Your beefy workstation with the full dev stack is not something you can carry around. When you need it remotely, you reach for fragile SSH tunnels or pay for cloud instances you do not really need.
Your local dev server, internal dashboard, or local database — none of them are reachable off-network without complex tunneling setups that break on restart.
Granting a teammate access for pair debugging or code review means sharing credentials, setting up VPN, or screen-sharing with one of you controlling the keyboard. None of it is clean.
Database backups, deployment scripts, log monitoring, test data generation — these should be automated but writing and maintaining the automation takes time you do not have.
awaBerry plugs into your existing workflow as the layer that makes your local machines available everywhere — for you, your team, and your AI agents.
Full RDP/VNC remote desktop to your workstation from your laptop. Web-to-Local tunnels expose your local dev server, database UI, or internal dashboard as a secure URL from anywhere — no SSH tunnel commands, no static IPs. Docker-native deployment fits cleanly into your existing stack.
Explore Anywhere →Stop sharing credentials for pair debugging. Create an Agentic API project, grant a colleague scoped access to specific folders and commands only, share it via a Project Key. Revocable instantly. Integrates directly as an MCP server in your AI agent workflows.
Explore Agentic API →Describe repetitive DevOps tasks in plain English — nightly database backup pipelines with integrity checks, real-time 5xx log monitoring with Slack webhooks, daily research digests. Generated once, running forever at near-zero cost.
Explore Automation →Your dev machine is always one click away. No VPN to configure, no open ports, no static IPs. Local services become securely reachable URLs. Docker-native deployment fits into your existing stack without host OS modifications.
AI logic is generated once from a plain-English description. Every execution after that is pure local code — zero AI tokens per run. Backup pipelines, log monitors, CI/CD helpers — described in English, running forever.
awaBerry fits into your existing workflow as the layer that makes your local machines available everywhere — for you, for your team, and for your AI agents. No VPN, no open ports, no credential sharing, no manual SSH tunnels.