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act101

act101 — AI agents that refactor and port code across 163 languages The first dev tool that lets an AI agent actually refactor and port code. 163 grammars, 183 refactor operations, 30 analyzers, 8 porting ops — for Claude Code, Cursor, Codex, OpenCode via MCP. Agent refactor Python. Agent port C to Rust. Agent port Ruby to Elixir. 163 grammars, 183 refactor...

act101

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Problème

Many developers face challenges when refactoring or porting code between languages, often resulting in errors, loss of comments, and broken formatting. Traditional tools require whole-file rewrites, which can lead to significant issues in code quality and maintainability. act101 addresses these pain points by providing AI agents that can perform precise, AST-aware operations, allowing for safer and more efficient code transformations. This reduces the risk of introducing bugs and preserves the integrity of the original code.

Proposition

act101 offers significant value by enabling developers to automate code refactoring and porting tasks with AI agents. Key features include 183 AST-aware refactor operations, 30 codebase analyzers for assessing code quality, and 8 porting operations for seamless language migration. The tool is designed to be token-efficient, using approximately 85% fewer tokens than traditional file-based operations. With built-in checkpointing and instant undo capabilities, developers can work confidently, knowing they can revert changes if needed.

Audience

act101 is aimed at software developers and engineering teams who need to refactor or port code across multiple programming languages. It is particularly useful for those working on large codebases or involved in migration projects, as well as developers looking to enhance their productivity with AI-driven tools.

Stack technique

Business

freemium

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