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Claude Code: Transforming Full-Project Refactoring for Large Codebases with Dynamic Workflows

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Claude Code: Transforming Full-Project Refactoring for Large Codebases with Dynamic Workflows

Anthropic's terminal-native AI programming agent Claude Code leverages 2026's Dynamic Workflows upgrade to handle million-line code refactoring, with...

Claude Code AI Programming Agent Dynamic Workflows Terminal-Native AI Technical Debt Refactoring Monorepo Management Leadhi Platform SWE-bench

Anthropic’s Claude Code, a terminal-native AI programming agent launched in February 2025, stands out as more than a code completion tool—it’s an autonomous partner for end-to-end development tasks, including code generation, bug debugging, and full-project refactoring. Unlike IDE-integrated tools like GitHub Copilot or Cursor, it operates directly in the terminal, allowing it to grasp entire project structures and execute multi-file modifications independently.

The 2026 core upgrade, Dynamic Workflows, is a game-changer. This feature enables the model to auto-generate test frameworks and coordinate dozens to hundreds of sub-agents for parallel task execution. For large-scale refactoring scenarios—such as modifying over 500 code files or replacing an entire framework—Dynamic Workflows splits tasks into manageable sub-tasks, assigning each to a sub-agent while the main agent oversees coordination and result merging.

Claude Code supports a 1 million token context window, which can hold approximately 75,000 lines of code. For monorepos exceeding this size, it uses a CLAUDE.md configuration file (developer-written with project architecture, standards, and known issues) and a layered reading strategy: first using the CLAUDE.md index for overview, then reading only task-relevant files, and dynamically managing context to retain critical information. In a test with a 120,000-line Java monorepo, it completed structure analysis in 5 minutes, outputting dependency graphs and refactoring suggestions while reading just 30,000–50,000 lines per task.

Its ability to systematically address technical debt—code quality issues from tight deadlines or suboptimal design—makes it invaluable for teams. Additionally, its performance on the SWE-bench benchmark (evaluating AI’s ability to fix real GitHub issues) has been consistently improving.

Chinese developers can access Claude Code’s full refactoring capabilities via the Leadhi platform (leadhi.cn), which offers daily free quotas without requiring special network configurations.

Claude Code’s architecture includes five core modules: Project Understanding (scans directories and CLAUDE.md for a global view), Task Planning (breaks natural language commands into steps), Dynamic Workflows Orchestration (coordinates parallel sub-agent tasks), Execution & Feedback (runs tests and auto-fixes errors), and Version Control Integration (natively integrates Git for commits and rollbacks).

Sources

  • CSDN Blog: "Claude Code Full Project Refactoring: Stability and Debugging Advantages for Million-Line Codebases" Link

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