AI coding extensions will make you a 10x developer…

Modern AI coding extensions, especially Kilo, Roo, and Klein, offer superior flexibility, cost-effectiveness, and advanced features compared to traditional tools like Cursor and Cloud Code, largely due to their open-source nature, provider agnosticism, and access to powerful, often cheaper, open-source models like GLM 4.6.

• New AI coding extensions provide unmatched flexibility and cost savings.

• Open-source models like GLM 4.6 rival or surpass closed-source performance at a fraction of the cost.

• Adaptability to new tools and models is crucial in the fast-changing AI development landscape.

New generation AI coding extensions are transforming software development by providing greater customizability, transparency in context usage, and freedom to choose AI models and providers, addressing limitations of older tools like Cursor and Cloud Code. These extensions, exemplified by Klein, Roo, and Kilo, empower developers to build robust software more efficiently and economically by leveraging cutting-edge open-source AI models. While established tools like Codex still hold a strong position, especially with advanced OpenAI models, the rapid innovation and adaptability of these open-source extensions make them increasingly compelling.

Advantages of New AI Extensions

• 00:00:27 Next-generation AI coding extensions offer significant advantages over older tools by allowing use across any code editor like VS Code, supporting multiple AI providers (OpenAI, Anthropic, Gemini, Mistral, etc.) through services like OpenRouter, and being free and open-source. This contrasts with tools like Cloud Code, which are limited to specific providers and often come with subscription costs, and provides transparency into their code, enabling community-driven improvements and customizability for power users.

Comparison of Klein, Roo, and Kilo

• 00:01:58 Klein serves as the foundational, beginner-friendly extension with a simple setup and less customizability, while RooCode is an upgraded version offering more control for intermediate users, including system prompts and slash commands. KiloCode, building on RooCode, combines the best of both, providing the cleanest UI with the most customizability, advanced features like auto-complete triggers, and specialized 'architect' and 'code' modes for structured AI programming, making it a current favorite for many developers and leading in rapid feature adoption.

The Power of Open Source Models

• 00:15:13 Open-source models like GLM 4.6 are proving to be exceptionally powerful and cost-effective, with GLM 4.6 outperforming Claude Sonnet 4.5 on several benchmarks for tasks like math and tool calling. These models are significantly cheaper, with GLM 4.6 costing one-seventh the price of Claude Sonnet 4.5, making them an attractive alternative to proprietary solutions. The rapid advancement of open-source models suggests they could soon become the primary choice for most developers, accessible through flexible extensions like Kilo, Roo, and Klein.

The Future of AI Programming

• 00:32:01 While Codex, especially with the GPT-5 Codex model, remains a highly powerful and reliable tool for complex projects and ecosystem integration (web agents, PR reviews), the AI programming landscape is rapidly evolving. The key to staying ahead is adaptability and a willingness to experiment with new tools and models, as the leading solutions can change weekly. Tools like Kilo, Roo, and Klein are at the forefront of this rapid innovation, often integrating new, powerful models faster than their more established counterparts.