kitty:lfg

Autonomous end-to-end engineering workflows are orchestrated through agent swarms that handle planning, parallel task execution, automated reviews, and safe autofixes across multiple phases. The pipeline runs sequentially through planning, execution, review, and finalization steps without stopping between phases.

An agent swarm approach for software engineering automation deploys multiple workers to execute planned tasks, while background agents run review and test steps in parallel. This enables deterministic pipelines with sequential phases, parallel background reviews, autofix steps, and finalization.

A deterministic pipeline with sequential and parallel phases is set up by describing a feature idea to trigger automatic planning, swarm-based execution, parallel background reviews, safe autofixes, and finalization with commit and PR creation. The pipeline orchestrates all steps in order without manual intervention.

Automated code reviews and tests can run in parallel as background agents during the parallel phase of an engineering workflow pipeline. The pipeline then applies safe fixes from those reviews and tests during a dedicated autofix phase before finalizing.

Autonomous engineering workflow automation handles commit and PR creation during the finalization phase. After planning, swarm-based execution, parallel reviews, and autofix steps complete, the pipeline commits changes, pushes them, and creates a PR with a summary.

Agent swarm orchestration should be used for complex software projects requiring planning, parallel task execution, automated reviews, and safe autofixes across multiple phases. It suits deterministic pipelines where sequential and parallel steps must run end-to-end without stopping.