Buildkite
@buildkite
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Buildkite is the world's fastest CI platform, providing the speed and flexibility for platform teams to deliver software at scale.
Joined June 2013
Building an MCP server for Buildkite taught us three important lessons about building great agent tools: - Wrapping your REST API isn't enough — agents need structured, clean data - You only control tool shape, not agent strategy - LLMs are lazy — make the right path the easiest
buildkite.com
A closer look at how we used AI to build a log-parsing toolset that helps AI agents think more like humans do.
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Congrats to all the LEGO winners who stopped by the booth @ #AWSreInvent (check the 🧵) Can't wait to see these builds once they're complete! 🧱 P.S. If you're in Vegas & haven't come to see us yet, we might have a few sets left 🤞🤞🤞
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To get help from an LLM with a broken CI build, you have to give it a log — but build logs can be huge and filled with noise that nave nothing to do with what actually went wrong. In this post, we share how we solved this problem in the @buildkite MCP server by asking the LLM to
buildkite.com
A closer look at how we used AI to build a log-parsing toolset that helps AI agents think more like humans do.
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🎉 We recently shipped agentic workflow components for Buildkite including an MCP server, model providers, pipeline triggers, and more. Here are three practical examples you can deploy with today: https://t.co/Z6YyrWj7PA
buildkite.com
A closer look at our new agentic workflow components and how they enable you to bring LLMs into your CI/CD process.
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Yesterday we announced a handful of new components for the @buildkite platform that make working with AI agents in CI/CD a lot easier: https://t.co/Xl7DTmEjLk Model providers — which are like pass-through proxies to frontier models like Claude and others that let you drop into
buildkite.com
A closer look at our new agentic workflow components and how they enable you to bring LLMs into your CI/CD process.
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AI tools are starting to hit CI with short bursts of work. We’re seeing agents push enough small changes to slow merge queues and eat up test capacity, even when nothing looks wrong on the surface. If your pipelines feel slower without a clear reason, this breakdown may help:
buildkite.com
What we've learned helping platform teams navigate the new challenges of AI-assisted software delivery.
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With 25,000+ builds daily, build failures were costing Wayfair significant developer time. See how they cut resolution from 26 to 10 minutes using RAG + MCP to surface fix recommendations directly in the IDE, keeping developers in flow:
buildkite.com
Watch and learn: join Buildkite for tips and tricks, best practices, and practitioner conversations about software delivery at scale.
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🎉 We shipped updates to our K8s agent stack: one token setup, significantly smaller objects for better cluster performance, and full YAML specs in error messages. Check it out here:
buildkite.com
Our latest updates bring easier setup, better scaling, and out-of-the-box observability to your K8s experience.
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Slow CI. Flaky tests. More coverage but bugs still ship. https://t.co/Hvsh1g8mFw James Hill's Testing Talks Melbourne talk breaks down what matters when scaling testing: - When observability pays off. - How to speed up without breaking things. - What changes at high volume.
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