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 articlePractical notes on local-first AI infrastructure, agents and project intelligence.
Cloud intelligence is useful, but source code, terminals and device credentials often belong behind a local execution boundary.
Read articleA coding agent becomes much more useful when it can act, which makes scopes, approvals and verification part of the product—not optional plumbing.
Read article4 articles
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.
Read articleA coding agent becomes much more useful when it can act, which makes scopes, approvals and verification part of the product—not optional plumbing.
Read articleA practical series about connecting AI coding clients to real projects while preserving workspace boundaries, verification and durable context.
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