For example, error type distribution or intervention rates. This can tell me how efficient I am when using Claude.
But currently, the error type is a bit too broad, and I haven’t discovered much yet.
However, not all code requires the same quality standards (think perfectionism). The tools in this project are like blog posts written by an individual that haven’t been reviewed by others, while an ASF open-source project is more like a peer-reviewed article. I believe both types of projects are valid.
Moreover, this kind of project is like a cache. If no one else writes it, I might want to quickly vibe-code it myself. In fact, without vibe coding, I might not even do it at all due to time constraints. It's totally reasonable to treat this project as a rough draft of an idea. Why should we apply the same standards to every project?
In fact, their approach to using vibe coding in production comes with many restrictions and requirements. For example: 1. Acting as Claude's product manager (e.g., asking the right questions) 2. Using Claude to implement low-dependency leaf nodes, rather than core infrastructure systems that are widely relied upon 3. Verifiability (e.g., testing)
BTW, their argument for the necessity of vibe coding does make some sense:
As AI capabilities grow exponentially, the traditional method of reviewing code line by line won’t scale. We need to find new ways to validate and manage code safely in order to harness this exponential advantage.
These assignments are exceptionally well-crafted, featuring a clever, progressive structure. The entire learning path is like a well-designed “skill tree”:
- The Constant Propagation algorithm you implement in Assignment 2 becomes the foundation for Dead Code Detection in Assignment 3.
- Assignment 4 builds on this, challenging you with the more complex Interprocedural Constant Propagation, where you begin to analyze real-world method calls.
- Next, Assignments 5 and 6 guide you through implementing two different precisions of Pointer Analysis — one of the core challenges in the field.
- Finally, in Assignment 7, you will use the algorithm from Assignment 6 to improve the precision of your earlier constant propagation analysis.