We rebuilt the CircleCI CLI from the ground up in Go: human-first output, –json everywhere, browser OAuth login, a built-in debugging TUI, and an MCP server for your coding agent.

Validating agent code is expensive and slow. Here’s how Chunk sidecars make it 10x cheaper and 3x more efficient.

Prompting agents to validate their work isn’t enough. Here’s what actually works.

A controlled A/B in chunk-cli: same lint+test gates, sidecar remote validate vs push-per-task CI. Median time to signal 3.1x faster on sidecar; LLM cost even slightly better.

AI hasn’t changed what’s worth owning

Rapidly release code with confidence on CircleCI’s modern continuous integration and delivery platform. Offered on hosted cloud, Enterprise, and macOS platforms.

The third and final episode of our software factory series!

In 2026, software ROI beats AI hype. Experts discuss why AI code stalls value and how elite teams use "Tiger Teams" to cut technical debt and speed up delivery.

Leverage intelligent automation across the entire software delivery lifecycle

Rules, modules, and the path to AI leverage

See how CircleCI used the Claude Agent SDK to build Chunk, an AI agent that autonomously fixes build failures and validates code changes before humans review.

The MCP vs. CLI debate misses the point. The right answer depends on where you are in the development loop. Here's a practical framework for deciding.