When multiple AI coding agents work against a shared repository, they flood GitHub with intermediate pull requests and overwhelm CI queues sized for human cadence. Sandforge addresses this by running the full iterate-review-fix cycle locally using Forgejo (a self-hostable open-source forge) and git worktrees, so only one validated, squashed PR ever reaches GitHub per feature. It uses act_runner (based on nektos/act) to run the same GitHub Actions engine locally in Docker, ensuring local CI failures mirror what GitHub would catch. The post also distinguishes two separate bottlenecks: shared-surface CI congestion (which Sandforge solves) and human review capacity (which it does not), and advises teams to identify which constraint actually limits them before investing in tooling.
