The AI coding workflow used to be a single tool: GitHub Copilot inside VS Code, suggesting one line at a time. That world is gone. A modern AI-augmented developer runs Copilot for autocomplete, Cursor or Claude Code for agentic multi-file edits, ChatGPT or Claude in a browser tab for explanations, and often a cloud-based sandbox for validating output against real infrastructure.
Each of those tools is a separate cloud connection, each with its own bandwidth and latency profile. Running them concurrently on a slow home connection turns your dev environment into a series of frozen loading spinners. Even more so if the sandbox environments are actually spinning up real cloud infrastructure for you to validate against — those are ephemeral cloud VMs streaming state back and forth.
If you are building this kind of modern stack, plan the connection accordingly. Fiber with symmetric gigabit is not overkill; it is the baseline. For an overview of the actual tools worth adding to a modern AI coding workflow, this InfoWorld rundown of five tools to bolster your AI coding stack is a good starting point.
