The Claude Code Framework Wars
3 days ago
- #AI-coding
- #workflow-automation
- #developer-tools
- Developers are experimenting with structured prompts to turn Claude into a coding framework rather than just a chatbox.
- Key decisions for setting up a Claude framework include where tasks live, how Claude is guided, agent coordination, session management, tool access, code development, delivery methods, and context preservation.
- Tasks can be stored in markdown backlogs, structured text, or issue trackers like GitHub Issues or Jira.
- Claude performs better with clear guidance like command libraries, coding standards, and validation hooks.
- Agent coordination involves role simulation, swarm parallelism, and repo-native artifacts to manage multiple AI workers.
- Session management techniques include terminal orchestration, parallel worktrees, and isolated containers to avoid collisions.
- Tooling integrations (MCP servers, custom libraries, database accessors) enable Claude to interact with the full tech stack.
- Claude can take on different roles in the development lifecycle: project manager, architect, implementer, tester, and reviewer.
- Code delivery methods range from small diffs and feature flags to full app scaffolds.
- Context preservation through documentation, journals, and persistent memory prevents Claude from repeating mistakes.
- The early lesson from these experiments is that AI works best with structure, shifting developer roles toward higher-value tasks like spec shaping and architecture.