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Uber Main
47 queues, 98 pipelines
Agents
0
Connected
Jobs
98,786
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114
Waiting
ios-deploy
:mac:MacOS
1,899 Jobs
android-build
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3,653 Jobs
python-services-test
Self-hosted
122 Jobs
ml-model-training
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60m↘10m
Build times
Uber use 100,000 concurrent agents to tame complexity.

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Fast feedback cycles

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:rspec: Spec
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Flexible primitives

Dynamic pipelines, wait steps, block steps, trigger steps, LLM integrations and conditional logic give you complete workflow control.

Pipeline visuals with a confirmation step before proceeding and unnecessary steps skipped.

CI developers love

Customizable build annotations, clear build visibility and easy to navigate steps.

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Test Optimization

Intelligent Testing and Validation

Stop waiting on slow test suites and flaky tests that block deploys with intelligent test splitting, performance insights, and real-time flaky test isolation.

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React in real time

Tag flaky tests instantly and route them to AI agents for resolution, all before your build finishes.

Customize Workflows

Configure your flaky test response with workflows for different test types and teams.

Comprehensive test analytics

Unified visibility across unit, integration, and end-to-end tests to track performance and identify issues.

:rspec: Rspec
:ruby: minitest
:jest: Jest
:mocha: Mocha
:cypress: Cypress
:jasmine: Jasmine
:playwright: Playwright
:swift: Swift
:android: Android
:pytest: pytest
:golang: Go
:junit: JUnit
:dotnet: .NET
:elixir: Elixir
:rust: Rust

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Package Registry Management

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Stay in control of all your assets.

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Access the next @latest in minutes not hours.

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Consolidate tooling

One tool to package them all.

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AI Workflows

Programmable Agentic Primitives

Flexible components platform teams need to build AI-powered workflows with complete control.

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Buildkite’s MCP server

Connect AI tools to pipeline data with precision log access and token optimization.

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Universal Pipeline Triggers

Trigger builds from anywhere: API calls, webhooks, or custom integrations, all with complete control.

Universal Pipeline Triggers.

Connect to LLM providers

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Connect to foundation model providers.

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Good company. Better builds.

I just realized I can solve all my problems by moving CI from GitHub actions using Namespace actions, over to buildkite. Namespace devboxes are still essential to my workflow so all agents have mac machines to compile and test on. This change would only be so I stop hitting the stupid GitHub actions limit when I'm not even using their compute.
October 5, 2026 · View on X ↗
The first time I used @buildkite at Shopify, I thought: if I ever build a SaaS, I want it to pay the same attention to detailthey do. Years later, here we are integrating our own SaaS with their offering: https://t.co/gb3BbSGxCj
September 8, 2026 · View on X ↗
i just automated our release and QA process! using Grok Bot i made two Team Bots: sandcastle, my release manager, and poteto, my engineer bot. i added them to Slack and made a new channel for managing releases. first i tell sandcastle that i want to do a cut. it'll DM all the contributors with links to their PRs so they know what goes in the next release and can DM the bot back if they have any blockers or objections. sandcastle then kicks off the build, watches it automatically, and starts up an automated fuzz swarm. usually this is 10+ agents running on Grok 4.7 xhigh to run the build, click around and use it like a real user (using our verification skills and feature map), some are directed while a few are "chaos monkey" clicking things randomly to see what breaks. whenever it finds an issue, i tell it to @ mention my engineer bot poteto, to spin up a Cursor Project to own triaging and fixing all the high pri issues. depending on the severity i may ask it to cherry pick the fix into our release branch and cut a patch release, or if it's a pre-existing issue i still fix it but include in the next release instead that's one more tedious task that Grok Bot now handles for our team
October 6, 2026 · View on X ↗

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