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The latest News and Information on Continuous Integration and Development, and related technologies.

canonical

Cloud-native Android infotainment: your CI pipeline shouldn't depend on hardware

Mar 2, 2026 By Bertrand Boisseau In Canonical
More and more often, infotainment systems are being developed and delivered like software, yet often they are still tested and validated using hardware-centric processes. This is far from ideal: access to devices is limited, environments are difficult to reproduce, and iteration slows down as soon as multiple teams need to work in parallel. These challenges become even more visible as cockpit systems move toward wide displays and high resolutions.
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Stop Managing Infrastructure: How BHS Corrugated Scaled Artifact Management with Cloudsmith

Mar 2, 2026 By Cloudsmith In Cloudsmith
Are you spending more time maintaining your artifact servers than building software? In this video, we explore how BHS Corrugated–a global leader in manufacturing technology with a presence in 20 countries–transformed their developer experience by moving from fragmented, self-hosted GitHub repositories to Cloudsmith: the world’s leading cloud-native artifact management platform.
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The modern JFrog alternative: Why ConstructConnect switched to Cloudsmith

Mar 2, 2026 By Cloudsmith In Cloudsmith
Is your artifact management slowing down your development velocity? In this video, we dive into how ConstructConnect migrated from JFrog Cloud to Cloudsmith–the world’s leading cloud-native artifact management platform–to eliminate hidden costs, simplify their CI/CD pipelines, and secure their software supply chain.
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Scaling Argo CD Past 50 Clusters: GitOps, Pipelines, & Governance

Feb 25, 2026 By Harness In Harness
Is your engineering team hitting the "Argo Ceiling"? Argo CD is incredible at syncing state, but as you scale past 20, 50, or 100 clusters, the maintenance tax skyrockets. In this webinar, we break down why the "hub and spoke" model of GitOps creates isolated silos, leading to "tab fatigue," massive security blast radiuses, and the need for thousands of lines of brittle CI "glue code" just to handle basic release orchestration.
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jfrog

Native Nix Support in Artifactory: The Binary Cache for the Enterprise

Feb 25, 2026 By Tom Arie In JFrog
The “works on my machine” era is officially over. Nix is changing the way we think about software by treating packages as functional, immutable values, ensuring that a build works exactly the same way every time, on every machine. But while Nix excels on a local laptop, scaling that level of reproducibility across a global enterprise has historically been a challenge.
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circleci

Getting started with Windsurf and CircleCI

Feb 25, 2026 By Roger Winter In CircleCI
AI coding assistants are transforming how developers write software. Tools like Windsurf can generate entire modules, refactor complex code, and fix bugs in seconds. But speed comes with a tradeoff: AI-generated code can introduce subtle bugs, security vulnerabilities, or breaking changes that slip past even experienced developers. That’s where continuous integration comes in. CI acts as a safety net, automatically testing every change before it reaches production.
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jfrog

JFrog Takes Software Resilience to the Next Level with 99.99% Uptime SLA

Feb 24, 2026 By Sean Pratt In JFrog
Software delivery is no longer a back-office function; it’s the heartbeat of the modern enterprise. While a 99.9% uptime SLA for essential software delivery services works for many, the acceleration of software velocity has made the “three-nines” benchmark a possible liability. For high performing software organizations, and those delivering critical services, nine hours of annual downtime represents a dangerous gap in productivity and security.
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circleci

Getting started with Gemini and CircleCI

Feb 23, 2026 By Roger Winter In CircleCI
AI coding assistants like Gemini are changing how developers write code. They can generate entire functions, debug tricky issues, and help you move faster than ever before. But with that speed comes a new challenge: how do you make sure AI-generated code actually works? AI assistants are powerful, but they’re not perfect. They can introduce subtle bugs, miss edge cases, or generate code that breaks existing functionality. That’s where CI (continuous integration) comes in.
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circleci

Getting started with Claude Code and CircleCI

Feb 23, 2026 By Roger Winter In CircleCI
AI-powered coding tools are changing how developers work. Tools like Claude Code can write functions, refactor code, and build features through natural conversation, often faster than you could type them yourself. But speed creates its own risks. AI-generated code can contain subtle bugs, reference packages that don’t exist, or misuse APIs in ways that only surface at runtime. That’s where continuous integration comes in. CI is a safety net that lets you move fast confidently.
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Mapping Privileged Access Management (PAM) Tools To Real-World Use Cases in 2026

Mapping Privileged Access Management (PAM) Tools To Real-World Use Cases in 2026

Feb 23, 2026 By OpsMatters In OpsMatters
Not every privileged access management (PAM) tool solves every problem. The PAM market has fragmented into distinct categories, each designed for different operational realities. Choosing the wrong category wastes budget and leaves gaps. Choosing the right one simplifies security and compliance simultaneously. The challenge for security teams in 2026 is that traditional PAM categories - vault-based, agent-based, cloud-native - no longer map cleanly to how organizations actually use privileged accounts.
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