The most underrated use case for AI
Code generation gets all the attention, but one of AI's biggest strengths might be helping non-engineers prototype ideas, explore solutions, and get work done that otherwise never would have happened.
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Code review was already broken before AI
"We'll spend weeks shaving 10 minutes off CI, then let code sit waiting 18 hours for review." Luca and Rob discuss why AI isn't just changing how we write code, it’s forcing teams to rethink the entire software delivery process.
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.
The Hidden Cost of Validating AI-Generated Code
For a 50-developer team operating at agentic pace, validation-related delivery costs can approach $900K a year.
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.
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.
Every line of code is risk
AI makes it easy to write more code. The question is whether that's actually a good thing.
What happens when AI has no guardrails?
Without constraints, feedback, and clear standards, AI can create complexity faster than teams can manage it.
Why Leadership Said No
The question isn't whether your proposal is good, it's whether it's more important than everything else competing for the same time, people, and budget. That's why the strongest proposals explain the impact, not just the work.