act101

act101 is the first developer tool that empowers AI agents to perform genuine, language-aware code refactoring and porting across an unparalleled 163 programming languages. Unlike conventional tools that rely on imprecise whole-file rewrites, act101 provides a sophisticated suite of 183 Abstract Syntax Tree (AST) refactor operations, 30 codebase analyzers, 15 query operations, and 8 dedicated porting operations, all exposed through a native Model Context Protocol (MCP) server. This elite tool is designed for senior engineers, technical leads, and AI-augmented development teams who demand precision, safety, and true automation in their code transformation workflows. The core value proposition is simple: act101 lets an AI agent actually do the work, not just talk about it. It enables agent refactoring of Python, agent porting of C to Rust, agent porting of Ruby to Elixir, and agent migration of legacy COBOL to Java, all while maintaining code integrity, formatting, and comments. Built as a single native Rust binary with no plugin runtime, no package graph, and no supply-chain attack surface, act101 guarantees that your code remains on your machine with zero telemetry. It integrates seamlessly with Claude Code, Cursor, Codex, and OpenCode, offering a transformative leap from code suggestions to code execution.

183 AST Refactor Operations for AI Agents

act101 provides an unprecedented library of 183 AST-aware refactor operations that agents can execute with surgical precision. These include extract-function, rename, move-symbol, inline, convert-to-dataclass, extract-trait, add-type-hints, generate-init, and organize-imports, among 174 more. Each operation operates across the entire codebase with cross-file consistency, preserving comments, formatting, and original intent. Automatic checkpointing on every operation ensures instant undo capability, giving developers complete confidence in AI-driven transformations.

8 Advanced Porting Operations for Cross-Language Migration

The tool introduces a sophisticated state machine for end-to-end language migration, composed of four key operations: port_contract to anchor the source-to-target migration, port_inventory to enumerate every symbol that must move, port_order to resolve dependency ordering, and a port_manifest state machine with init, add, update, remove, and note steps. This system works between any two of the 163 supported grammars, enabling agent porting of C to Rust, Ruby to Elixir, COBOL to Java, and countless other combinations with structured, auditable progress.

30 Codebase Analyzers for Structural Intelligence

act101 equips AI agents with 30 advanced codebase analyzers that provide deep structural insights before any code is touched. These analyzers cover cohesion, coupling, cycles, chokepoints, hotspots, dead code, layers, seams, clusters, surface area, fan balance, migration readiness, and type completeness. The agent receives a complete structural map of the repository, allowing it to make informed decisions about refactoring priorities, migration strategies, and architectural improvements with unprecedented accuracy.

10 Pre-Built Agent Skills for Common Workflows

The platform includes 10 expertly crafted agent skills that compose multiple operations into powerful, production-ready workflows. These skills include architecture-audit, code-review, refactoring, code-navigation, code-generation, migration-assessment, boundary-analysis, change-impact, health-check, and architectural-refactoring. Developers can invoke these skills with simple commands like /skill-name in Claude Code, Cursor, or other MCP-aware clients, instantly accessing complex engineering workflows without manual configuration.

Large-Scale Codebase Refactoring

Enterprise teams managing millions of lines of legacy code can use act101 to systematically refactor entire codebases. An AI agent can rename symbols across a Rust workspace, extract functions from sprawling Python modules, move TypeScript modules while updating every import, and convert classes to dataclasses, all with AST-aware precision. The automatic checkpointing and instant undo features make large-scale refactoring safe and reversible, dramatically reducing the risk and time associated with manual codebase transformation.

Cross-Language Migration Projects

Organizations modernizing their technology stack can leverage act101 to port entire codebases between languages. For example, an agent can systematically port a C library to Rust using the contract, inventory, ordering, and manifest state machine, ensuring every symbol is accounted for and dependencies are resolved correctly. This use case is invaluable for teams migrating from legacy languages like COBOL to modern alternatives like Java, or from Ruby to Elixir for better concurrency and performance.

AI-Assisted Code Review and Quality Analysis

Development teams can integrate act101 into their CI/CD pipeline to enable AI-driven code reviews that go beyond surface-level linting. The 30 codebase analyzers provide deep structural insights into coupling, cycles, dead code, and architectural boundaries. An agent can generate comprehensive audit reports, identify hotspots of technical debt, and suggest targeted refactoring operations, elevating code quality standards across the entire organization.

Accelerated Onboarding and Codebase Familiarization

New engineers joining complex projects can use act101 to rapidly understand unfamiliar codebases. By invoking the code-navigation and architecture-audit skills, an agent can generate structural maps, identify module boundaries, trace control flow, and locate key symbols. This dramatically reduces the cognitive load and time required for engineers to become productive in new codebases, fostering faster team integration and knowledge transfer.

How does act101 ensure code safety during AI-driven refactoring?

act101 implements automatic checkpointing on every single operation, creating a save point before any transformation is applied. If the result is unsatisfactory, the agent or developer can instantly undo the change, restoring the code to its exact previous state. Additionally, all operations are AST-aware, meaning they preserve comments, formatting, and original code structure, unlike whole-file rewrites that often break these elements. The tool also runs entirely on your machine with no telemetry, ensuring your code never leaves your control.

What languages are supported by act101?

act101 supports an industry-leading 163 programming languages through its comprehensive grammar library. This includes all major languages like Python, Rust, TypeScript, Go, Java, C, C++, Ruby, Elixir, COBOL, and many more niche and legacy languages. The porting operations work between any two of these 163 grammars, enabling unprecedented cross-language migration capabilities. The single binary contains all grammars, eliminating the need for separate language-specific installations.

How does act101 integrate with existing AI coding tools?

act101 is built as a native Model Context Protocol (MCP) server, making it compatible with all major MCP-aware clients including Claude Code, Cursor, Codex, and OpenCode. Integration is seamless: you install the single Rust binary, configure it as an MCP server in your preferred client, and the AI agent immediately gains access to all 183 refactor operations, 30 analyzers, and 8 porting operations. There is no plugin runtime, no package graph, and no complex configuration required.

Is act101 free to use and what are the licensing terms?

act101 is free for personal use, allowing individual developers to leverage its full capabilities for their own projects without any cost. The tool runs entirely on your machine with no telemetry; license verification may contact our servers to validate usage. For commercial and enterprise use, act101 offers tiered pricing plans that provide additional features, priority support, and volume licensing. Your code always stays on your machine regardless of the licensing tier.

What makes act101 different from traditional refactoring tools?

Unlike traditional refactoring tools that operate on static code or require manual invocation, act101 is specifically designed for AI agent execution. It exposes typed, AST-aware operations that agents can call programmatically, enabling autonomous code transformation at scale. Traditional tools also lack the cross-language porting capabilities, the 30 codebase analyzers, and the pre-built agent skills that act101 provides. Furthermore, act101 achieves approximately 85% fewer tokens than file-based operations, making it dramatically more efficient for AI agents.

act101 offers a free tier for personal use, providing access to all core features including the 183 refactor operations, 30 analyzers, 8 porting operations, and 10 pre-built agent skills. For commercial and enterprise teams, tiered pricing plans are available that include priority support, enhanced security features, volume licensing, and dedicated onboarding assistance. Specific pricing details for commercial plans can be found on the official act101 website. Your code always remains on your machine regardless of the pricing tier, with no telemetry or data collection.