Tech Blog
Explore the world of Bolt products with product stories, management insights, and captivating case studies. Join us on the journey of innovation!
Scaling GitHub actions pipelines
Learn how Bolt scaled GitHub Actions CI/CD pipelines using reusable workflows, TypeScript actions, and versioning for easier maintenance and rollbacks.
Design engineering at Bolt: shipping components with AI agents
At Bolt, our core web platform, bolt.eu, serves up to 60M users a year across across 50+ markets and relies on a shared design system of more than 110 UI components. We updated our front-end pipeline so designers can ship working code directly into our production library using AI coding agents. By replacing informal handoffs with a unified review model, we reduced routine component delivery time from a week to an hour.
Migrating 10 million monthly queries: How Bolt moved Looker from Presto to Databricks
This article was written by Mangesh Kharinar, Senior Software Engineer at Bolt.
Tracking payments at scale
This article was written by Ammar Chalifah, Senior Finance Data Engineer at Bolt.
Seeing the bigger picture with event storming
Understanding the domain through event-storming sessions is one of the best ways to define your system’s future vision. In this article, I’ll share our experience with this method at Bolt.
Scaling security testing: lessons from launching a public bug bounty at Bolt
Quasi-experiments in ads measurement
This article was written by Anton Bugaev, with contributions from Juan Carlos Medina Serrano and Garret O’Connell. It was supported by the work of Bolt Marketing Technology and Performance Marketing
Mastering incrementality in ads: an introductory guide
This article was written by Anton Bugaev, with contributions from Juan Carlos Medina Serrano and Garret O’Connell. It was supported by the work of Bolt Marketing Technology and Performance Marketing
Managing all the variations of (dbt) metrics
Written by Silja Märdla, Senior Analytics Engineer at Bolt. Semantic layers and metrics will be a big part of how we work with data in the future. We’ve done this
AAAAA Testing: How to make tests AI-friendly
For anyone who develops software, writes code, and eventually writes tests (unit, integration, or component), this article is for you. It doesn’t matter if you’re working on a microservice, a monolith, a frontend app, a mobile client, or a shared library. We’ve all been there: tests that are so complicated they’re harder to read, write, and refactor than the production code they’re meant to validate. If your test suite feels like it’s fighting you, you’ve come to the right place.
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