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

What is an AI sandbox? A developer's guide

An AI sandbox is an isolated environment where code from an AI coding agent runs without direct access to your machine or your production systems. If the agent runs a destructive command or a mistaken script, the damage stays contained inside the sandbox. Developers use AI sandboxing to let agents execute code freely while keeping the host and its credentials out of reach.

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

Stop context-switching between your IDE and CI dashboard. This video shows you how to connect Cursor to CircleCI using the CircleCI MCP server so your AI agent can read pipeline failures, validate configs, and trigger builds without leaving your editor. In this demo, we introduce a bug, let CI catch it, and watch the agent diagnose and fix it autonomously through a full green pipeline. No manual log hunting required.

Supply chain hit: the first hours are about "am I affected?"

The first two to three hours after a supply chain compromise aren't about remediation – they're about figuring out whether you're affected at all. That requires two things: a feed of compromised packages you can cross-reference against what you're using, and an audit trail showing which developers pulled which packages and when. Teams that can answer "are we affected?" in 30 minutes have that data pre-built into their platform. Teams that don't are still piecing it together at hour three. Protect your supply chain with Cloudsmith.

What is a remote MCP server?

As development shifts toward agentic workflows, an AI agent is only as capable as the systems it can reach. Local MCP servers allow desktop CLI and IDE agents to execute multi-step tasks on your machine. But remote MCP servers (also called hosted MCP servers) extend that reach to cloud-based and background agents, allowing an agent running in a web browser, a CI runner, or a backend service to access external tools over HTTP without needing a developer’s machine running local child processes.

A Step-by-Step Guide to Feature Flag Implementation in CI/CD Pipelines | Harness Blog

Engineering teams often deploy code much faster than they can safely release new features to users. This gap can create risks if releases skip testing, approvals, or gradual rollouts. Feature flags help by separating deployment from release, so you can ship code continuously and control which features users see through configuration.

Why Model Routing Backfires and How to Build Agents That Don't Burn Your Budget

Model routing promises to cut your AI agent spend by offloading routine tasks to cheaper models like Claude Haiku while reserving frontier models like Claude Sonnet for complex reasoning. In the right configuration, routing strategies can reduce inference costs by 40–85%. But if you implement routing incorrectly in a multi-turn agent, you can end up paying more than if you’d never routed at all. Here’s why and how to fix it.

Guardrails for shipping with AI agents, feat. Luca Rossi of Refactoring.fm

Code review has always been a time sink. AI just makes the dysfunction undeniable. Luca Rossi, founder of Refactoring.fm and builder of the open source tool Tolaria, has been running one of engineering's most-read newsletters for five years, with over 170,000 subscribers. He's also been doing what a lot of engineering leaders talk about but rarely do: building a real product with AI agents to pressure-test what's actually possible today.

The secure path should be the default path - nothing more

Asking developers to take extra steps to pull securely is a policy that won't hold. The only approach that scales is making the private registry the default – a buffer between the developer and public registries that applies policy automatically at the global level. No extra steps, no security theater, no cognitive overhead at the point of pull. Automation and global policy configuration are what turn good intentions into a default secure posture.

CRA turns software trust from assumed to legally required

For years, buying software meant trusting the vendor. The Cyber Resilience Act changes that relationship by codifying what vendors must do – auditing dependencies, confirming exploitable vulnerabilities, and enforcing security best practices – as legal obligations, not internal choices. For customers, that means software safety is no longer a matter of brand reputation. For vendors, it means governance gaps that were once internal concerns are now deal blockers.