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How to Connect Cursor to CircleCI: AI-Powered CI/CD Debugging

Stop manually pushing branches, hunting for logs, and pasting errors back into your editor. This video shows you how to connect Cursor to CircleCI using the CircleCI CLI so your AI agent can trigger pipelines, read build output, and fix failures autonomously without you ever leaving the IDE. In this demo, we introduce a bug, let CI catch it, and watch the agent diagnose and fix it on its own, monitoring the pipeline until it comes back green. No tab-switching. No copy-pasting logs.

How to improve agent experience (AX) with CI

Improving agent experience (AX) is one thing. Keeping it good as your product changes is harder. A renamed field, different error response, or overlapping tool can turn a workflow that worked yesterday into extra retries, wasted tokens, or human intervention. CI gives teams a way to catch AX regressions as part of the development process. You can test the interfaces agents depend on, run representative agent workflows against product changes, and preserve fixed failures as regression cases.

How we automated feature-flag cleanup with Agentic Pipelines

The hard part of a feature flag is rarely adding it. It is remembering to remove it months later, when the rollout is over, the original context has faded, and there is always a more urgent piece of work waiting. Since April 2026, one Atlassian team has used Agentic Pipelines to clean up their monthly backlog of stale feature flags. The workflow prepares the change and opens a pull request, while engineers still review and merge the pull request.

Run Your GitHub Actions Workflows on CircleCI (Open Preview)

CircleCI can now run supported GitHub Actions workflows directly on CircleCI infrastructure, using the YAML you already have. In this quick demo, we’ll walk through setting up a CircleCI project with an existing GitHub Actions workflow and running your first build. You’ll see how to: GitHub Actions compatibility is currently available in open preview on Linux. Not all GitHub Actions features are supported yet, so check the documentation for current compatibility.

Fastest and Most Cost-Effective CI/CD Platforms

A slow build is frustrating. A surprise bill makes it worse. I compared seven options to help you balance feedback speed, running costs, and upkeep. The right choice depends on your workload, not just the lowest advertised rate. Sequential/Parallel: Running independent tests together can reduce waiting without reducing total work.

What is a software factory?

A software factory is a system for turning engineering intent into production software through repeatable, increasingly automated workflows. It connects the tools, infrastructure, people, agents, validation, and delivery controls required to move work from an idea or issue into production. Coding agents have made the model newly relevant. Teams can now produce software changes much faster than traditional development processes were designed to evaluate and coordinate.

How to build a Language Server Protocol (LSP) plugin for Claude Code

Language servers give editors structured, real-time feedback: diagnostics, hover docs, autocomplete, and other guidance that would otherwise surface later. Language servers already exist for many of the languages and tools developers use every day, but Claude Code doesn’t automatically receive their feedback.

JFrog Artifactory Supports LuaRocks Hosting for NGINX, OpenResty and Kong

If your NGINX/OpenResty servers or Kong gateways pull Lua modules straight from public luarocks.org, one upstream outage can stall every build and deploy that depends on a “rock”. With LuaRocks support in JFrog Artifactory, you host and proxy those modules from a private LuaRocks registry you control, using the native experience you expect, not a bolted-on workaround.

JFrog Agent Power for AWS Kiro

JFrog is bringing software supply chain governance to AWS Kiro. Operating as a power plugin within Kiro, JFrog delivers package safety, agentic access to the JFrog platform, and the JFrog AI Catalog. With simple setup, AI agents make supply chain aware decisions right inside the IDE, ensuring dependencies come directly from Artifactory rather than unverified public registries.

Find code faster: Introducing our new & improved search experience

Finding code across your repositories in Bitbucket just got a major upgrade. We’ve rolled out code search in open beta for Bitbucket Cloud: a faster, more integrated search experience built to help you find code across your workspace without interrupting your workflow. For many developers, search is one of the fastest ways to explore an unfamiliar codebase, investigate an incident, audit API usage, or scope a refactor.

Your patch window just went from 30 days to hours

Thanks to AI, vulnerability disclosures are exploding. In mid 2026, we're seeing 130+ a day and climbing, with roughly a quarter already being exploited in the wild before they're even disclosed. The result: security teams that used to have 30 days to respond now feel pressure to issue patches in a few days or hours. This video covers why "are we safe?" isn't a question you get to answer once: That last drill is what separates teams that panic when a real incident hits from teams that already know the answer.

A simpler way to run AI agents in Bitbucket Pipelines

AI agents can help investigate failed builds, fix flaky tests and automate other development tasks. But setting up those agents has required more Pipelines configuration than it should. Agent-powered steps often need different compute, permissions and runtime settings from ordinary build and test steps. Until now, teams have either repeated those settings across every agent-powered step or tried to make one set of global defaults work for everything.

SBOMs are easy for one project, monumental at scale

Think of an SBOM as your ingredient list. A common language describing everything that goes into a piece of software, every dependency and version, in one place. This video covers why SBOMs have gone from niche to mandatory, and why they're harder to pull off than the concept suggests: The concept is simple. Operationalizing it across a large, diverse tech stack is where it gets hard.

Connect Codex to CircleCI: Fix Failing CI Without Leaving Your Terminal

Connect Codex to CircleCI and give your coding agent direct access to the CI feedback it needs to keep working. In this tutorial, we’ll walk through setting up the CircleCI CLI and CircleCI plugin for Codex, then show how Codex can check pipeline results, validate your CircleCI config, diagnose failed builds, trigger new pipelines, and keep iterating on a fix until CI is green. Instead of bouncing between your terminal and CircleCI to copy logs and errors back to your agent, you can bring the full CI feedback loop directly into your Codex session.

Monitor test health at a glance in Bitbucket Tests

When a team relies on automated tests in CI/CD, knowing that tests ran is only the beginning. Understanding whether the suite is healthy, which tests need attention, and how a specific test has behaved over time — that’s what drives action. Bitbucket Tests is evolving to make those answers easier to find and give you tools to improve your test health.

You probably already have most of what CRA requires

CRA compliance is similar to other frameworks, like ISO 27001, SOC 2, GDPR, or PCI DSS, in that the same approach applies: define your scope, figure out your product classification, then work through the list of controls. This video covers why that's less daunting than it sounds: CRA compliance isn't a one-time milestone. If you're selling into Europe, you need to continuously meet it.

Container hardening isn't a substitute for artifact management

Hardened base images are a great secure foundation. They're minimal, security-vetted, and have few dependencies to worry about. But almost nobody ships a bare base image. Teams build on top of it. This video cover whys that "on top of it" layer is where the risk actually lives: Skip the base image hardening and you're building on a shaky foundation. Skip artifact management and you're leaving everything built on top of that foundation ungoverned. A strong posture uses both.

Headless vs. Traditional Web Architecture: What DevOps Teams Need to Consider

DevOps teams face a critical architectural decision when building modern web applications: should they stick with traditional, monolithic systems or embrace headless architecture? This choice affects everything from deployment workflows to team collaboration, performance optimization, and long-term maintenance costs. Understanding the technical and operational implications of each approach helps teams make informed decisions that align with their specific requirements.

What's actually inside your SBOM (and why it matters)

An SBOM is more than a compliance checkbox. It's literally a bill of materials for your product: every software component that makes it into what you ship, plus the metadata that tells you whether it's safe to use. This video covers what that metadata actually does for you: An SBOM earns its keep when it shows you what's actually there, version to version, on a continual basis.

Policy-as-code vs. policy-as-documentation: The difference that matters

A documented policy only works if every engineer remembers it, every time, under deadline pressure. That's the gap policy-as-code closes. This video covers what that actually looks like in practice: The instructions don't change. What changes is whether something actually enforces them, or just hopes someone reads them.

The Evolution of JFrog AI Catalog: Your AI Control Plane for Agentic Development

In a single morning, a coding agent can pull an open-source model, connect to an unvetted MCP server, and execute a code-optimizing skill from the web. In the rush toward agentic automation, these AI assets quietly bypass traditional security reviews, creating new attack vectors across the software supply chain. Closing this blind spot has been the driving force behind the JFrog AI Catalog since its launch at swampUP 2025.

How to set up CircleCI with Cursor Origin

CircleCI now integrates with Cursor Origin, bringing scalable CI/CD to Origin-hosted repositories. In this demo, see how to connect an Origin repository to CircleCI, configure your pipeline triggers, run a build, and report CI status back to your Origin pull request. Already using CircleCI? Your existing.circleci/config.yml works as-is, with no Origin-specific CI syntax or separate config to maintain.

How to Use Claude Code with CircleCI to Fix Failed Builds

Give Claude Code direct access to CircleCI and let it diagnose failed builds, fix issues, and keep iterating until your pipeline is green. In this tutorial, we walk through how to connect Claude Code to CircleCI using the CircleCI CLI. You’ll see how Claude can read pipeline results, identify test failures, make fixes, trigger new builds, and monitor CircleCI without leaving the terminal.