Writing about MCP, agents, and the execution layer.
Engineering deep dives from the Harbor team on how teams of AI agents share tools, credentials, and audit. New posts ship as ideas land.
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04 postsMay 26, 2026
What is an execution layer?
By Umang Bhalla
An execution layer turns submitted code plus workspace context into an audited run: source resolution, MCP pooling, sandbox isolate, orbit primitives.
Read articleMay 26, 2026
Shared workspaces for AI agents
By Harbor team
Why N agents × M tools needs a shared workspace, not per-agent toolboxes — credentials, memory, runs, and audit live with the team.
Read articleMay 26, 2026
Control plane vs MCP gateway: when each one fits
By Harbor team
MCP gateways forward tool calls. A control plane owns the workspace around them — discovery, credentials, execution, audit. When each one fits.
Read articleMay 15, 2026
Code Mode and why shell exec is on borrowed time
By Nishank Jain
Code Mode moves agent execution from turn-by-turn tool calls into typed programs that can run inside an isolated runtime. The article frames this as the next execution layer for agents: fewer model round trips, less context waste, and more composable workflows across MCP tools, CLIs, APIs, and GraphQL.
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