Blog

Learn how to run AI coding agents in GCP using Compute Engine, Vertex AI, and Northflank Cloud Harnesses, with secure access, private networking, persistence, and self-serve BYOC.

Compare the best microVM sandboxes for AI coding agents in 2026, including Northflank, E2B, Vercel Sandbox, Fly.io Sprites, and Docker Sandboxes for local work.

Learn what an AI agent runtime environment is, what runs inside it, and how it differs from an agent framework, harness, model, and sandbox.

Learn how Google AX (Agent Executor), Google's open-source agentic orchestrator, works and compare 2026 alternatives for AI-agent code execution.

Learn how to run remote coding agents on your own server or with Northflank Cloud Harnesses, including setup, isolation, persistence, remote access, security, and scaling.

Learn what remote coding agents are, how they differ from local and cloud agents, common use cases and risks, and how Northflank Cloud Harnesses provide secure remote environments.

Learn how to give coding agents ephemeral development environments with clean workspaces, isolated execution, scoped credentials, and Northflank Cloud Harnesses.

Learn how to run multiple coding agents in parallel using Git worktrees, isolated cloud environments, and Northflank Cloud Harnesses for scalable, collaborative AI coding workflows.

Learn how to give AI coding agents secure access to private repositories, databases, and services using scoped credentials, secrets injection, isolation, and private networking.