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Techniques

A permission-control approach that allows only predefined tools, endpoints, or actions.

Why it's here

Placed in Assess: 2 article(s) of evidence from 2 source(s), led by framework updates, with 2 in the last 30 days. Confidence 39%.

Evidence (2)

  • 4GitHub Blog·7/27/2026product_launch
    GitHub argues the harness matters more than prompts

    GitHub Blog says users can improve AI productivity more by learning the Copilot harness than by relying on special prompts, skills, or custom workflows. The post recommends starting with a simple interface such as the GitHub Copilot CLI and enabling broader agent autonomy, while still emphasizing caution around permissions and local execution.

  • 5The New Stack·7/14/2026framework_update
    The MCP Debate Centers on Context and Governance

    The article argues that Model Context Protocol (MCP) can feel like unnecessary overhead for small, single-user projects, where direct API calls are often simpler. For enterprise agentic systems, however, MCP is presented as a better fit because it can carry authorization and audit context at the tool-call level and support structural least privilege, though provisioning remains too manual for broad adoption.