ralph-run

To automate user story implementation from a PRD, you can use an autonomous agent to process stories individually by priority, implement code based on acceptance criteria, run quality checks, and commit changes.

Autonomous iterative development for user stories is a process where an agent executes one story at a time from a PRD, learns from past progress to improve future steps, and logs results to ensure systematic feature implementation.

To enforce codebase pattern adherence during automated code generation, the agent checks out the correct branch, implements the story according to existing project standards, and runs quality checks before committing changes.

Yes, you can use an autonomous agent to run quality checks and commit code changes automatically. It implements the user story, verifies quality against project standards, and commits the changes while updating the PRD.

An autonomous agent learns from previous user story implementations by logging progress and learnings in a progress file, which it references in future iterations to improve code generation and implementation steps.

Limitations of autonomous PRD-driven code generation include its strict sequential processing of one user story at a time by priority, requiring a well-defined PRD and existing codebase patterns to function correctly without manual intervention.