context isolation

The MCP vulnerability is a direct example of context isolation failure—untrusted input (web content) pollutes trusted context (local config files)

Article explicitly discusses 'strong context isolation' as a design principle in subagents pattern—this is a core context engineering concern.

Pattern explicitly prevents 'context bleed between tasks' through per-agent context retrieval logic

Git worktrees provide file system isolation which prevents context collision between agents—a direct implementation of context isolation principle

One-to-one client-server relationships directly implement context isolation by design—each resource/tool connection is isolated, preventing cross-contamination mentioned explicitly in article.

The sandbox-per-task architecture is a concrete implementation of context isolation principle—preventing cross-contamination between tasks.

MCP servers isolate tool/API complexity from agent context, allowing cleaner instruction sets

Session forking maintains context boundaries while enabling information flow—a classic isolation pattern

Parallel Claude instances for different tasks implies context isolation strategy—avoiding interference patterns that degrade quality when multiple independent problems share context.

Each sub-agent gets its own SQLite database, demonstrating context isolation pattern—each agent has bounded, independent context.

Sub-agents and skills are mechanisms for isolating context to specific domains/tasks, preventing context pollution across agent boundaries.

Tutorial demonstrates isolation of specialized context (vision context in custom_tool.py, agent expertise in agents.yaml) to prevent collision

The tool explicitly manages isolated agent profiles, each with its own declared context (extensions, skills, tools)