Claude Code 2.0 + GLM-4.6: The EASIEST & BEST Way to BREAK FREE from Claude-4.5 Sonnet!

Key Concepts

• Claude Code 2.0 Upgrades
• VS Code Extension for Claude Code
• GLM 4.6 Integration
• Checkpoints Feature
• Toggling Thinking
• Searching History
• Dynamic Sub-agents
• Config Command
• Vision and Web Search MCP Servers
• Byte Rover Memory Layer

Claude Code 2.0 Upgrades and GLM 4.6 Integration

The video focuses on the upgrades to the Claude Code interface, particularly its enhanced integration with third-party models like GLM 4.6. While Claude 4.5 Sonnet is a good model, the speaker emphasizes the improvements in the Claude Code interface itself, making it a compelling option even when used with other models. The speaker highlights that Claude Code, despite not being open source, can be used with models like GLM 4.6, which is a significant advantage.

VS Code Extension

A major upgrade is the new VS Code extension for Claude Code. The previous extension was more of a terminal agent helper, but the new one is a fully functional VS Code extension, similar to CodeX or CodiumAI.

• Installation: The extension is installed using the same command as before.
• Functionality: Clicking the Claude icon opens the Claude Code interface within VS Code. Slash commands work with an interactive menu.
• Modes: Users can toggle between auto-approve, plan mode, and manual approval.
• Context: The extension can access the context of the active file.
• Model Integration: The extension works with the model specified in the settings file (e.g., GLM 4.6).
• Limitations: Custom agent creation is not yet available through the VS Code extension.

Checkpoints Feature

Claude Code 2.0 introduces a checkpoints feature, similar to those found in tools like Rue, Kilo, and Klein.

• Functionality: Automatically creates backups of edited files before editing or at set intervals.
• Reverting: The /revert command allows users to revert to any checkpoint.

Toggling Thinking

A new option allows users to easily toggle the "thinking" mode.

• Activation: Hitting the Tab key toggles between thinking and non-thinking variants.
• GLM Compatibility: Works well with GLM.

Searching History

Users can now search their history for previous prompts.

• Activation: Ctrl + R opens the search history.
• Scope: Searches prompts from any project, allowing reuse of previous commands.

Dynamic Sub-agents

Claude Code now supports dynamic sub-agents.

• Configuration: Sub-agent configurations are defined in a sub_agent_config.json file.
• Usage: The agents flag is used to specify the sub-agents to use in a session.
• Use Cases: Useful for specific workflows or CI workflows.

Config Command

A new config command allows users to easily set general settings.

• Functionality: Allows setting options like autoco compact, to-do list tips, and verbose output.
• Interface: Provides three tabs for status, config, and usage information.

GLM Coding Plan and Recommendations

The speaker recommends using the GLM coding plan, highlighting its cost-effectiveness and performance.

• GLM 4.6: The GLM 4.6 model is considered very good for its price and is well-tuned for use with Claude Code.
• Vision and Web Search: The GLM coding plan provides free access to vision and web search MCP servers, improving performance by enabling documentation search.

Byte Rover Memory Layer

Byte Rover is recommended as a memory layer for AI coders.

• Functionality: Allows the AI coder to create and access memories of important information.
• Synchronization: Memories can be synced across teams and updated like Git, tracking architecture changes.
• Customization: Memories can be manually tweaked.
• Benefits: Improves performance in longer tasks and facilitates easier syncing across teammates.

Conclusion

The Claude Code interface has been significantly improved, making it snappier and more efficient. These improvements, combined with the integration of models like GLM 4.6 and the addition of features like checkpoints, history search, and dynamic sub-agents, make Claude Code a powerful tool for developers. The speaker suggests that the perceived speed increase of Sonnet might be due to the improved interface rather than the model itself. The video encourages viewers to share their thoughts and subscribe to the channel.