---
id: "prereq-ai-coding-agents"
type: "prerequisite"
source_timestamps: ["§ Three Necessities", "¶15", "¶16"]
tags: ["software-development", "ai-tools"]
related: ["entity-stripe-minions", "entity-github-copilot"]
reason: "Required to comprehend the task-level continuous sensing examples provided in the software development context."
sources: ["tail1"]
sourceVaultSlug: "hbr-seg-tail1"
originDay: 1
articleStem: "hbr-tail-112-continually-assessing-performance"
sourceUrl: "https://hbr.org/2026/06/the-pros-and-cons-of-continually-assessing-performance"
sourceTitle: "The Pros and Cons of Continually Assessing Performance"
---
# Familiarity With AI Coding Agents and Telemetry

**Prerequisite** · *Why it matters:* required to comprehend the task-level continuous-sensing examples in the software-development context.

The examples relying on [[entity-stripe-minions]] and [[entity-github-copilot-d1]] assume a basic understanding of how AI coding assistants work — suggesting blocks of code, human review, merging into production — and how enterprise software can track **acceptance rates and telemetry**. Without this, the task-level sensing evidence for [[action-analyze-task-level]] will not land.