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Inside Atlas: the operations platform we built for ourselves

We are a very small team, and from the beginning we have been obsessed with operating efficiently. Off-the-shelf tools made us bend our work to fit them and siloed our data. So we built Atlas, our own operations platform, leaning heavily on LLMs and agents. Here is a tour of what we have actually built into it: sales, finances, product operations, and the interfaces that tie them together.

Scaling iOS application development with Tuist

Delivery Hero used Tuist to scale its iOS modularization to roughly 115 modules, cut clean builds from 2.5 minutes to 0.5 minutes, and reduce CI build and unit test time by 2.5x.

Monzo slashed CI pipeline time by 70%

Monzo used Tuist project generation, Binary Cache, and selective testing to cut median PR time from 52 minutes to 15 minutes while scaling its iOS codebase to nearly 200 modules.

L10N.md: localization built like we ship software

Existing localization tools take content out of the repository and translate it in environments where changes can't be validated. We tried Crowdin and Weblate, none of them felt right. So we built our own system on top of LLMs, with the repository as the source of truth and a lockfile to keep things incremental.

Hyperconnect optimized its multi-service pipeline with Tuist

Hyperconnect adopted Tuist to optimize a multi-service build pipeline, improving feedback loops in local development and CI with Module Cache and Selective Testing.

Run your test suite across balanced shards

When parallelizing tests on a single machine isn't enough, sharding across multiple CI runners is the next step. Tuist uses historical timing data to create dynamically balanced shards so every runner finishes roughly at the same time.

Turning AI agents into doctors for your project's health

What if AI agents could diagnose your project like a doctor, using Tuist's data as their medical records?

Xcode and Gradle: Two worlds, one infrastructure

We plugged our infrastructure into Gradle in three weeks. Here is what we learned about the differences between Xcode and Gradle, and what it means for anyone building tools that sit between developers and their build systems.

The Three Layers of Developer Productivity

Most companies optimize developer productivity by throwing faster machines at the problem. But productivity has three layers, and ignoring the hard ones means wasting the easy ones.

Velocity for Every Gradle Team

We're bringing years of experience scaling Xcode projects to the Gradle ecosystem. Remote cache, build insights, test insights including flaky test detection are all available for your Gradle projects today.