I built Prompter to help automate repetitive code maintenance tasks using Claude AI. It lets you define workflows in TOML files that can execute sequentially or conditionally based on task outcomes.
Key features:
- AI-powered project analysis that generates initial configuration
- Session resumption to maintain context across complex tasks
- State tracking for interrupted workflows
- Support for Python, JavaScript, Rust, Go
Example use case: You can create a workflow that updates deprecated APIs, runs tests, and only proceeds to the next modernization task if tests pass. Each task can retry on failure or jump to a different task based on the outcome.
The tool uses the Claude SDK to execute tasks while maintaining context between steps. It's particularly useful for large-scale refactoring, security updates, or incremental code quality improvements.
Would love feedback from anyone dealing with technical debt or large codebases that need systematic updates.
Disclaimer: This project is developed using Claude Code.
