Part 15 min read
Why local execution still matters for AI coding agents
Cloud intelligence is useful, but source code, terminals and device credentials often belong behind a local execution boundary.
Read articleA practical series about connecting AI coding clients to real projects while preserving workspace boundaries, verification and durable context.
Cloud intelligence is useful, but source code, terminals and device credentials often belong behind a local execution boundary.
Read articleMCP can be the transport layer, but workspace scope, identity and approvals still need an explicit control plane.
Read articleUseful project knowledge should survive across sessions without forcing every new AI conversation to rediscover the same decisions.
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