How CircleCI built a code validation agent with Claude

The result is CircleCI’s autonomous AI agent Chunk , built with Claude, which identifies and resolves CI/CD-related maintenance issues with minimal human intervention. With Claude, CircleCI achieved: 75% reduction in average test run time when customers use CircleCI’s Smarter Testing feature 90% of the engineering team on Claude Code, with daily usage jumping 9x since structured adoption began 90%+ prompt cache efficiency in production, meaning context is reused rather than reprocessed across workflows.

Agent or tool: Claude Code
Topic: Sales & Marketing
Reported on: Case study (Anthropic)
Added: 2026-11-11

Why it matters

Sales and marketing run on research, lists and follow-ups. Agents are starting to take on that groundwork, freeing people for the conversations that actually close deals. It is one of 613 sightings filed under Sales & Marketing on Agent Sightings (number 49 by interest), and one of 255 involving Claude Code.

How you could try it

Here is a reusable prompt, written by us in our own words, that captures the task. Paste it into Claude Code or any similar agent and adjust the details to your situation.

I want an agent to do the research and drafting for this sales or marketing workflow, and stop for my approval before anything is sent. The tool in the source case was Claude Code.

Saved

Tip: Start small: run it once on a low-stakes example, read what the agent did, and only then let it run on real work.

Source

Read the original first-hand account on Case study (Anthropic): https://claude.com/customers/circleci. Our summary is a paraphrase; details are in the source.

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