loop

Automating iterative development cycles involves using an autonomous agent to run research and implementation tasks iteratively. This dual-mode loop continuously refines code without manual intervention, managing everything from spec creation to coding.

Yes, you can automate Git workflows during development. The autonomous loop automatically handles commits, pushes, and pull requests, integrating version control directly into the iterative research and implementation cycles.

The iterative development loop supports both Claude Code and Codex environments. It operates via interactive prompts or direct commands, allowing you to manage context and user-defined directions for focused development across these platforms.

The best way to start complex feature development autonomously is initiating a development loop. The agent will research requirements, create implementation specs, write the code, and manage the pull request, iterating until the feature is complete.

You can separate planning from coding in an autonomous development loop using mode selection. Choose 'Research' mode for planning and spec creation, then switch to 'Implement' mode for coding and testing.

Limitations of autonomous agents for iterative development include the need for user-defined directions to maintain focus. Without configurable context management and explicit user prompts, the autonomous loop may lack the specific direction required for complex tasks.