AI software factory examples

An AI code reviewer running up to seven specialist agents per merge request across 5,169 repositories, built on the same developer platform Cloudflare ships to customers.

Flux, DoorDash's in-house cloud-agent platform, started with one narrow use case, code review, before expanding to 130,000 automated engineering tasks a month; the reviewer it grew from now covers 10,000+ pull requests a week across 56 repositories and can push its own suggested fixes straight back to the PR.

Four engineers plus one part-time PM built an in-house background agent that now authors 3 of 4 merged pull requests, and gave it the same tool access as a human engineer.

The famous CEO memo wasn't the whole record. Underneath it sits a Slack-native agent coauthoring one in eight merged PRs, a security harness that requires proof by exploit, and a refusal to count AI-authored lines of code.

A three-part agent pipeline, Casper for background PRs, CodePal for review, Code Search for navigation, on top of a stated claim that more than half of all agent investment goes into guardrails rather than the agents themselves.

One-shot end-to-end coding agents on a forked Goose, gated by a hard two-round CI cap and a shared 500-tool internal MCP server.

Six platform layers, an agent registry that makes every agent action traceable to a person, and the most honest published account of what AI measurement got wrong.

An in-house code factory that turns tracker issues into human-approved pull requests inside isolated cloud sandboxes, plus an open-source harness that refuses to open a PR without evidence the work was tested.

Agentic engineering across 250+ teams since January 2024, with no mandated tool and a risk classifier that auto-approves a third of pull requests.