Generate BUILD files for new rule sets with Gazelle v2

This post is based on my lightning talk at BazelCon 2026. You can watch the talk on YouTube below.

This talk shows how to support new rule sets by writing an extension with Gazelle's new v2 API, which supports better error handling and dependency resolution. We'll also talk about how Gazelle works with extensions, how to support offline indexing, and how to write extensions in languages other than Go.

Persistent Test Runners: How Persistent Workers for Tests Can Cut Test Times by 46%

This post is based on the BazelCon 2026 talk I gave with Antonio Di Stefano (Frekt.dev). You can watch the recording on YouTube below.

Bazel has used persistent workers for years to make compilation faster. A persistent test runner applies the same idea to tests: keep a long-running test execution process alive and reuse it across multiple tests, instead of paying its warmup cost every time.

Benchmarking any2bazel - towards more efficient migrations

We’re fond of Bazel, and particularly fond of the capabilities it offers developers. Faster builds, made more efficient through remote execution and caching, made more understandable through declarative configuration, queryability, and precise logging – these deliver benefits and solutions to developers once Bazel’s all set up and integrated into their daily processes.

But it’s a rare developer who enjoys spending their time and effort in build system configuration. Wouldn’t we rather be solving our customers’ problems? And the decision to migrate from an existing build system to Bazel is one that demands consideration of huge trade-offs; the labor and opportunity costs of engineering time spent on migration and adapting internal workflows to a new build system discourage the pursuit of its advantages.

EngFlow is a Cursor Origin launch partner

Bazel makes your builds correct and reproducible. Making them fast, and keeping them fast as your codebase and your team grow, is a different problem. It's the very problem that EngFlow was created to solve. Our team spent years on the adoption side of Bazel, helping companies put it into production, contributing and creating Bazel's core features, and the pattern is almost always the same: teams love what Bazel does for correctness, then run straight into what it costs to operate for speed.

Today, that's much easier to reach. EngFlow, the platform that runs the largest managed Bazel fleet in the world, with over 3 billion build and test actions every week for teams like Arm, Databricks, and Canva, is now one install away for every team on Origin. Read more about this in Origins's announcement on X (Twitter) and Linkedin.

Why Tests Became the Product: A Conversation with Titus Winters

A conversation with Titus Winters · Notes From The Fleet series

Watch the full interview

I sat down with Titus Winters to talk about developer experience and infrastructure at scale. Titus co-wrote Software Engineering at Google; he is now a Senior Principal Scientist at Adobe. I expected a conversation about build systems. What I got was a line I've been thinking about ever since:

"The question is not what can you build with an incredibly fast, 80% accurate tool. It's what can't you build with an infinite army of incredibly fast, 80% accurate tools."

An infinite army of 80% accurate tools. That army doesn't have a code generation problem. It has a verification problem. Whether it helps you or buries you depends on the systems that check, integrate, and maintain everything it produces.

Titus Winters interview

Titus Winters on the shift from code generation to verification in the AI era

Engineering Developer Tools at Scale: London Build Meetup

EngFlow and Deliveroo (a DoorDash company) recently co-hosted a Build Meetup at Deliveroo's London offices. The event came together thanks to Matt from Deliveroo's engineering management team and Vaibhav from EngFlow, who brought together engineers from Deliveroo, EngFlow, Jane Street, and the local build community.

While talks spanned Bazel, Buck2, and Dune, a central theme emerged: as enterprise codebases grow past tens of millions of lines, the main bottleneck moves from writing code to testing and packaging it.

Here is a breakdown of the three technical presentations from the event.

Introducing any2bazel - an OSS tool for agent-driven migrations to Bazel

Back in June I was sitting on a train to Zurich. The plan was to meet colleagues and work together on figuring out how to migrate CMake projects to Bazel. I was looking forward to chatting with my colleagues in person, but I was not optimistic about the migration process. Truth be told, I was expecting to spend the week walking through the problems parsing the custom CMake language and CMake being Turing complete, maybe even look at a few concrete cases like generated files and configuration flags, finally conclude it couldn't be done, and return home with not much to show. Oh boy was I wrong.

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Over 3 Billion Actions per Week: A Year Inside the World's Largest Bazel Fleet

The EngFlow fleet just crossed 3.5 billion actions processed per week. Fourteen months ago, that number was 250 million. That's roughly 14x growth in 14 months.

This isn't a vanity metric. It's a signal of the developer efficiency our platform enables, and of the scale at which we now operate, managing some of the world's most complex and demanding platform engineering workflows for enterprises including ARM, Asana, Block, BMW, Canva, Databricks, Plaid, and Zoox.

14x growth in build actions

14x growth in 14 months in build actions per week across the EngFlow fleet.

Four War Stories and a Demo: Seattle Build Meetup 2026

Waleed Khan from Stripe presents in Seattle at Uber’s offices

On July 28, 2026, Uber and EngFlow co-hosted a Build Meetup at Uber’s Seattle office. This wouldn’t have been possible without the help of Sergey Balabanov at Uber, who not only presented one of the talks, but also energetically arranged and helped support this event from the Uber side. Thanks again, Sergey!

And, even though nobody planned a theme for this particular meetup (our meetups are holistically focused on “Build, Scale, Investigate”), one showed up anyway. Code is getting cheaper to produce. Uber put it flatly: “AI is a problem, apparently.” Every talk examined some part of the machinery that turns abundant code into software you can trust. Let’s take a look!

From Prototype to Production: The EngFlow Build Analytics Journey

Every build tells a story. Which targets took the longest? Where did cache misses cost you minutes? Who triggered the invocation, and what source changes drove it? At EngFlow, we believe that surfacing these answers — automatically and at scale — transforms build optimization from reactive firefighting into proactive engineering. Today, we're sharing how our build analytics platform evolved from early prototypes to a production-grade system providing tangible value to our customers.