We build the harness your team owns - and the architecture judgment behind it.

AI in the delivery

Four agents, forty times over.

Planner proposes, Implementer writes, Reviewer checks the diff against style, contract and the existing test corpus, Runner verifies against real systems — all three running unattended after a single human gate on the plan. Closing the loop like this took code review off a human's desk for every generated test and put it inside the loop instead: four checks per pass, coverage grew fivefold, and commits per test step fell from 0.78 to 0.17 as suites matured. The method and the charts are in E2E test harness for AI agents.

AI in the product

Handed over. Running without us.

An AI-agent platform for a 10M-user enterprise, architected and taken to production, then handed to the client's in-house team after three months — operated independently ever since. The volatile AI layer was isolated so model and framework churn could not cascade through the rest of the system. One problem that work surfaced — cost, not throughput, as the thing rate limiting has to protect — turned into a three-part series, Denial of Wallet.