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Coinbase: 75% of pull requests created by agents

Coinbase (crypto financial services, ~4,000 employees) reported this on 31 Aug 2026 in company self-report plus named-customer vendor case (source). It belongs to the agents, traceability and evals layer.

What they built

An agent-first development loop: agents turn Slack requests into pull requests and test builds, a security agent assigns each change a risk level, and simulator fleets verify behaviour against the spec before humans look.

The result

75% of all pull requests created by agents (Cursor customer story); some teams cut idea-to-production from 20 days to under 2; security reviews from three days to five minutes.

The number covers engineering organisation; security-review figure is for Coinbase Wallet.

“…anything affecting the movement of money still receives thorough human testing and approval,” Coinbase said.

Guardrails

Changes touching the movement of money get thorough human testing and approval; lower-risk changes pass through agent review councils.

The layer: agents, traceability and evals

Each agent has one narrow task, a named owner and an action log.

  • Agents with one narrow job and an identity
  • A trace of every tool call and decision
  • Eval sets that gate every change

Read the guide to agents, traceability and evals.

Playbooks that use this case

More cases on agents, traceability and evals

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    banker hours saved in the first month of operation, July 2026

    Five specialist agents on Amazon Bedrock AgentCore that classify and read payslips and bank statements, run serviceability calculations and verify them against lending policy, then hand the banker a result to review for mortgage and credit-card applications (source).

  • $10M

    EBITDA uplift from two agent systems, Partners Group says

    Two agentic systems built on a cleaned proprietary policy-level dataset: one runs new-client policy processing, the other automates human-intensive policy checking; delivered by a seven-person team with Version 1 (source).

  • 2–3 minutes

    per ocean or air freight quote, down from one to three days

    Hundreds of in-house AI agents embedded across the shipment lifecycle (quoting, orders, appointments, missed-pickup checks) and now ocean and air quoting, ocean booking and customs brokerage, built and run under a lean waste-removal discipline by 450+ in-house engineers and data scientists (source).

We map how your company runs, pick the first processes with your leadership team, and put them on agents.