An opinionated framework for productive AI pair programming with Claude Code, enforcing structured workflows and preventing scope creep.
cc-sessions is a framework designed to enhance productivity when using Claude Code for AI-assisted development. It provides a structured approach to task management, enforces disciplined workflows, and automates repetitive processes to reduce cognitive overhead and ensure work persists across sessions.
Developers using Claude Code for AI pair programming who need a structured, persistent workflow to manage tasks, prevent scope creep, and reduce manual overhead.
Developers choose cc-sessions for its enforced DAIC workflow that prevents unapproved code changes, its persistent task management that survives session restarts, and its comprehensive automation of git operations and context management through specialized agents and natural language protocols.
an opinionated approach to productive development with Claude Code
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DAIC blocks code editing tools until Claude discusses the approach and receives explicit approval, preventing scope creep as highlighted in the features summary.
Tasks are stored as markdown files with metadata that survive session restarts and automatically manage git branches, ensuring work persists across context window resets.
Specialized agents handle context gathering, logging, code review, and documentation in separate contexts, reducing cognitive overhead as described in the agent section.
All behaviors are configurable via a JSON config file, including trigger phrases and git workflows, through the unified Sessions API and slash commands.
The framework is built specifically for Claude Code and does not support other AI coding assistants, limiting its versatility for mixed-tool environments.
Installation involves setting up hooks, agents, and multiple configuration files in directories like sessions/ and .claude/, which can be daunting for new users.
The DAIC enforcement requires discussion and approval even for minor code changes, which might slow down simple or iterative development tasks.