A Bank Built Its Own Coding Agent. It Took Off — Felipe Felisola Caso & Francesco Galletta, Monzo
Monzo's in-house agent started as an emoji you could react with in Slack.
Proof1 independent outlet
Key points
- Now it authors over 10% of all merged PRs across Monzo's tech teams and runs more than 1,800 tasks a day.
- Felipe and Francesco explain why it worked so fast.
- Their answer is the "lots of little multipliers" Monzo already had: an MCP gateway into internal tools and knowledge, a sandboxed agent orchestration system built for a regulated bank, and a platform that turns the agent itself into a building block.
- 05:59 Agent orchestration in a sandbox
Sources (1)
- [1]A Bank Built Its Own Coding Agent. It Took Off — Felipe Felisola Caso & Francesco Galletta, MonzoAI Engineer (YouTube) · Oct 20, 07:00 PM
Monzo's in-house agent started as an emoji you could react with in Slack.
Now it authors over 10% of all merged PRs across Monzo's tech teams and runs more than 1,800 tasks a day.
Extractive summary: sentences quoted from the sources.
Before this
- Oct 20, 2026Work management context for AI agents with Smartsheet MCP on AWS
- Oct 20, 2026From data to decisions: Conversational supply chain intelligence with Amazon Quick and Amazon Bedrock AgentCore
- Oct 20, 2026Discover tools at runtime with AWS Agent Registry
- Oct 20, 2026Securing AI agent identity with X.509 PKI on AWS
- Oct 20, 2026pydantic/pydantic-ai v2.58.0: v2.58.0 (2026-10-19)
- Oct 19, 2026Push-based KV transfer to improve TTFT and TPOT for disaggregated inference in vLLM
