Engineering changes how you think
Even when you stop writing code every day, the way engineers think about systems, feedback, and problems stays with you.
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The latest News and Information on Continuous Integration and Development, and related technologies.
AI agents are writing real code
AI agents used to comment on issues and pull requests, now they’re pushing code to repositories.
Beyond the build: How DataHub uses Cloudsmith to power worldwide software distribution
You’ve built a world-class platform – now how do you get it into the hands of your users without "download friction"? In this video, we look at how DataHub, the leading open source metadata platform, uses Cloudsmith as its cloud-native distribution engine to deliver high-performance software artifacts to a global audience with zero downtime and zero maintenance.
Bad developer tools kill productivity
When tooling, tech debt, and friction get in the way, even simple tasks take five times longer.
How to Optimize Your CI/CD Pipeline with AI (CircleCI Chunk Tutorial)
As AI-assisted coding tools increase the amount of code, commits, and builds, optimizing your CI pipeline becomes more important than ever. In this tutorial, we walk through how to use Chunk, CircleCI’s autonomous agent that validates your code at AI speed, to analyze your pipeline history, identify performance bottlenecks, and suggest optimizations to your CI/CD configuration. Chunk leverages critical CI/CD context like build history, test results, and execution data to keep pipelines healthy and moving at AI speed.
Building a secure golden path: Cloudsmith x Octopus Deploy webinar
What does it take to build a "Golden Path" that developers actually want to use? In this expert-led webinar, Cloudsmith and Octopus Deploy team up to explore the missing link in your software supply chain: turning artifact creation and management into an automated, trust-backed journey from source to ship.
What works at Google won't work for your team
AI hype is everywhere, but real results depend on your team, your scale, and your workflows.
MCP vs. CLI for AI-native development
Summary: The CLI vs. MCP question is really a question about where you are in the development loop. CLIs fit the inner loop: fast, local, zero overhead. MCP servers fit the outer loop: external systems, shared infrastructure, structured access. Most teams need both. AI has put a new kind of scrutiny on developer tooling. When a developer works alongside an AI coding assistant, the tools that assistant can reach, and how it reaches them, directly affect the quality and speed of the work.
Beyond Mirroring: 5 Reasons Your DevOps Strategy Depends on Repository Federation
For today’s leading enterprise computing environments, the concept of “centralized headquarters” is a relic. Today, R&D happens on different continents, spanning cloud, on-prem and hybrid environments, while stretching across multiple regulatory jurisdictions. But here is the hard truth: Most global organizations are still managing their binaries using legacy mirroring or “blind” infrastructure-level syncing. They treat artifact delivery like a basic file-transfer mechanism.
Why API Documentation Is a Core Engineering Discipline, Not an Afterthought
Developers rarely cite documentation as the most exciting part of building an API. Yet it is frequently the factor that determines whether an integration succeeds in days or drags on for weeks. Poor documentation creates friction at every stage of the API lifecycle. Consumers misunderstand endpoints, send malformed requests and file support tickets that a well-structured reference would have made unnecessary.