Should you read the code, is RAG dead, and did Skills kill MCP?

Billy Odell Tucker-Robinson Founder & Host — Banking With Billy Network • Intelligence Network • Data Science • AI Research • World News
Published: 2026-09-18T15:04:50.680Z • Permanent link

GitHub's latest podcast episode has set off a firestorm in the Data Sources domain, sparking heated debates about the future of code readability, the demise of RAG, and the impact of Skills on MCP. At the center of the controversy is a prominent developer, Rachel Kim, who has been vocal about the need for more accessible code. Her comments have been echoed by many in the industry, who argue that the current state of code is becoming increasingly opaque.

RAG, a popular code review tool, has been accused of prioritizing complexity over simplicity, making it harder for developers to understand and contribute to codebases. Meanwhile, Skills, a cutting-edge platform that promises to revolutionize the way we learn and practice coding, has been touted as a potential solution to the RAG problem. However, some experts have raised concerns that Skills' focus on gamification and interactivity may actually make code less readable.

The debate has been fueled by a recent GitHub blog post, which highlighted the importance of code readability in the face of increasing complexity. The post cited data from a recent survey, which showed that developers spend an average of 30% of their time trying to understand code that is difficult to read. The survey also found that developers who work with complex code are more likely to experience burnout and decreased productivity.

The implications of the RAG and Skills controversy are far-reaching, affecting not just individual developers but also entire companies and industries. Companies like Microsoft and Google, which have invested heavily in RAG and Skills, are particularly vulnerable to changes in the code review landscape. Research communities, which rely on accessible code to advance our understanding of complex systems, are also at risk of being hindered by opaque code.

The impact on the Data Sources domain cannot be overstated. Companies like RAG and Skills, which have built their businesses around complex code, are facing significant challenges in adapting to changing user needs and expectations. Meanwhile, developers and researchers who rely on accessible code are being forced to find alternative solutions, which can be time-consuming and costly. The consequences of inaction could be severe, with decreased productivity and innovation in industries that rely on complex code.

The debate over RAG and Skills is part of a larger pattern of increasing complexity in the Data Sources domain. The rise of cloud computing, machine learning, and big data has created a perfect storm of complexity, with developers and researchers struggling to keep up with the pace of innovation. Meanwhile, competing approaches to code review and learning are emerging, with some advocating for a more traditional, hands-on approach and others pushing for more innovative, interactive solutions.