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AI DevOps · United States

act101

Quality infrastructure for AI-written code with deterministic refactoring and a merge gate

Community votes
0
DR by Ahrefs
27 no change since last check
Started
2026

Ahrefs Domain Rating benchmarked 26 Oct 2026, rebuilt 26 Oct 2026.

act101 provides deterministic refactoring and porting for AI-written code through AST-aware operations, with a merge gate that verifies changes before merging.

What it is

Screenshot of the act101 homepage
act101.ai, as visitors see it

act101 is quality infrastructure for AI-written code that helps teams manage agentic debt through three stages: analyze code with 42 analyzers, act with 182 refactoring operations across 163 programming grammars, and attest changes with a deterministic merge gate.

The platform provides AST-aware refactoring operations like rename, extract function, inline, move symbol, and language-specific refactors. It works as both an MCP server and CLI, integrating with Claude Code, Cursor, Codex, Windsurf, Zed, and opencode. Every change receives a deterministic verdict (MERGE/REVIEW/BLOCK) with a signed receipt and one-command rollback capability.

act101 supports cross-language porting with 10 porting operations for migrations like C to Rust, Ruby to Elixir, COBOL to Java, and Python 2 to Python 3. The tool runs as a single native Rust binary with no dependencies or supply chain risk, achieving approximately 88% token savings on query operations compared to whole-file reads.

Builder Edition is free forever for personal, non-commercial, and open-source use. Commercial editions (Engineering, Architecture, Elite, and Enterprise) unlock additional features including the full mutation toolkit, advanced structural analysis, legacy language support, and enterprise porting programs.

What it is built with

  • 182 AST-aware refactor operations for code transformation
  • 42 codebase analyzers for code analysis
  • Support for 163 programming grammars
  • Deterministic merge gate with signed receipts
  • MCP server and CLI interfaces
  • Cross-file import updates and automatic checkpointing
  • 10 cross-language porting operations
  • Instant undo for all operations
  • ~88% token savings on query operations
  • Native binary with zero dependencies and no supply chain risk

Pricing

Pricing model: Freemium

Builder Edition: Free forever for personal, non-commercial, and open-source use. Engineering Edition: $29/month or $299/year (save 14%). Architecture Edition: $59/month or $599/year (save 15%). Elite Edition: $99/month or $999/year (save 16%). Enterprise: Custom pricing, contact sales. All editions

See act101's full pricing (new tab)

act101 metrics

Benchmarks for act101.ai: Ahrefs Domain Rating and Majestic link data, with the change since the last build.
MetricValue
Domain Rating27 no change since last check
Trust Flow8 no change since last check
Citation Flow31 no change since last check
Referring domains182 no change since last check
External backlinks3,158 no change since last check

Ahrefs Domain Rating benchmarked 26 Oct 2026, rebuilt 26 Oct 2026. Main build topic: Business/Telecommunications (7). Majestic benchmarked 26 Oct 2026, rebuilt 26 Oct 2026. Link data built by Majestic. Trust Flow, Citation Flow and Topical Trust Flow are trademarks of Majestic-12 Ltd.

act101 domain build sheet

Open the build sheet
Public RDAP record, last read 26 Oct 2026, 11:50 UTC.
Domain age6 months
Registered
Expires
RegistrarGoDaddy.com, LLC
DNSSECNot signed

Inspect act101.ai's registration

Questions from the bench

Can an AI agent actually refactor my Python codebase with act?
Yes. act ships as one native binary with two interfaces — MCP and a CLI — both exposing the same 182 AST-aware refactor operations, so agents like Claude Code, Cursor, Codex, and OpenCode can call rename, extract function, inline, move symbol, convert-to-dataclass, add-type-hints, and 60+ Python-specific refactors directly, with cross-file import updates, automatic checkpoint, and instant undo.
Can an AI agent port a C codebase to Rust?
Yes. act provides 10 porting operations — port_contract, port_inventory, port_order, a port_manifest state machine, and cross-language adapter/shim generators — that let an agent define a source-to-target contract, inventory every symbol that must move, resolve dependency ordering, and track the migration step by step. The same workflow handles Ruby to Elixir, COBOL to Java, Python 2 to Python 3, and arbitrary source-to-target language pairs across 163 supported grammars.
How is act different from ast-grep, comby, or semgrep?
ast-grep, comby, and semgrep are pattern-matching and structural search tools designed for humans. act is one native binary that exposes typed, parameterised refactor operations (extract-function, rename, move-symbol, etc.) through MCP and a CLI, with automatic checkpointing and instant undo. It lets an agent perform end-to-end refactoring and cross-language porting without rewriting whole files.
Is cross-language porting production-ready?
Porting is a workflow, not a button. act ships 10 porting operations — contract, inventory, dependency ordering, a manifest state machine, and adapter/shim generators — plus parity verification that checks a ported function behaves like the original. Small, well-tested modules port well today; a large legacy migration is a program of work run step by step under the manifest.
Which AI coding agents work with act?
act is one native binary that is both an MCP server and a CLI. Run act mcp serve and Claude Code, Cursor, OpenAI Codex, and OpenCode connect via stdio or HTTP+SSE — or run any act subcommand directly. Marketplace install blocks are included for the agents above.

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