AI debugging your CI pipeline
From failing pipeline → fixed PR Here's how Chunk analyzes logs, finds real bugs, and ships working fixes automatically.
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The latest News and Information on Continuous Integration and Development, and related technologies.
Inside Atlassian's Merge Queues: How we ship faster with fewer incidents
At Atlassian, we use Merge Queues to ship frequent changes with confidence and streamline pull request merges. Across some of our busiest codebases, Merge Queues have sharply reduced incident frequency and turned merging from a stressful bottleneck into a background task. Today, most of our largest repositories rely on Merge Queues—over 70 large repos across products like Jira, Rovo, Trello, and others—having safely landed 30,000 pull requests since adopting Merge Queues Beta last quarter.
The 2026 software supply chain security gap
AI-generated code is now nearly universal. Enforcement is not. That gap is where your software supply chain is most exposed. Cloudsmith's CEO Glenn Weinstein, Co-Founder & CTO Lee Skillen, and VP of Product Alison Sickelka join Product Marketing Manager Meghan McGowan to unpack the 2026 State of Artifact Management report – a survey-based look at how AI development is reshaping the threat landscape, what organizations are getting wrong, and what the highest-leverage fix actually looks like.
Accelerating AI Agent Development on Google Cloud with JFrog MCP Registry
Developers building agentic AI on Google Cloud have powerful infrastructure at their fingertips: Gemini 3 for reasoning, Google’s Agent Development Kit (ADK) for orchestration, and a rapidly expanding ecosystem of Model Context Protocol (MCP) servers that connect agents to data and tools. So why are so many teams still waiting weeks to ship their first agent to production?
Shipping trustworthy code with Chunk CLI
AI coding agents are fast. They generate functions, refactor modules, and wire up boilerplate faster than any human. What they don’t do by default is enforce the conventions a specific team has agreed on: the lint rules, the review patterns that senior engineers flag on every PR. A generated diff looks clean until someone runs CI or reads it carefully.
The Hidden Cost of DIY DevOps: Why Growing Companies Bring in the Experts
Companies are scaling faster than ever, but infrastructure rarely keeps up with the product. When developers take on operational work on top of everything else, it feels like a smart way to cut costs. In practice, it's one of the most expensive mistakes a growing software team can make. This article breaks down what DIY DevOps actually costs and how a structured approach changes the equation.
Cloudsmith raises $72M Series C to secure the AI software supply chain
Cloudsmith raised $72 million in Series C funding, led by TCV and Insight Partners, to build the operating system for the modern software supply chain. AI agents are writing code faster than teams can secure it. That shifts the risk calculus because more software, built faster, means more attack surface. Artifact management is the control point between every software producer and consumer, and it's where Cloudsmith sits.
Share artifacts between parent and child pipelines
As part of an initiative to increase the flexibility and power of child pipelines, we are happy to announce that Bitbucket Pipelines will now allow you to share artifacts between parent and child pipelines. This feature extends the use-cases for child pipelines, allowing a greater degree of coordination between parent and child and the use of child-pipelines as modular pieces of processing for larger operations with artifacts. Here’s how it works.
Under the Hood: Engineering JFrog Premium Availability
In the modern software factory, 99.9% uptime is no longer the gold standard. A standard 99.9% SLA translates to approximately 43 minutes of unexpected downtime per month. While industry data shows that a single minute of downtime costs an average of $9,000, for large global enterprises, that figure can easily be 5x higher. At tens of thousands of dollars per minute, those 43 minutes quickly compound into a catastrophic financial and operational risk.
Terminal dependencies for CircleCI workflows: Always run what matters
When a job fails, gets canceled, or never runs, the work that still needs to happen afterward (cleanup, notifications, teardown) has no clean way to trigger. There is no easy way to express “run this no matter what” in your pipeline config without duplicating jobs or adding fragile workaround branches. Terminal jobs change that.