Recent submissions

Comment · 1 year ago
To put theory into practice, the professors have designed eight assignments for this course (based on Java). These assignments cover the core concepts of the course. More importantly, they have also set up an Online Judge where you can submit your code and get instant feedback (note: the OJ is currently open only to users with educational email addresses).

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.

Comment · 1 year ago
Since nowadays we have many input sources, e.g. Twitter, newsletters, blog RSS feeds, etc. They're already overwhelming for me. Browsing the "newest" feed has a very low signal-to-noise ratio.
Comment · 1 year ago
true. when there are 100+ comments, it's a little overwhelming for me. especially, for the current ui
Comment · 1 year ago
This article contains my observations and thoughts as an active user in the YouWare community. During this time, my perspective has gone through an interesting evolution: from initial excitement about Vibe Coding, to a period of deep immersion in creating, and now to a more calm and considered view of the platform’s ecosystem.
Comment · 1 year ago
https://blog.continue.dev/intervention-rates-are-the-new-bui...

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.

Comment · 1 year ago
Anthropic talked about vibe coding in production: https://www.youtube.com/watch?v=fHWFF_pnqDk

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.

Comment · 1 year ago
First of all, there are certainly many issues with abusing vibe coding in a production environment. I think the core problem is that the code can't be reviewed. After all, it's ultimately people who are responsible for the code.

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?

Comment · 1 year ago
I’ve always wanted to do an analysis of how I use Claude Code. Then I found out that someone had already done it. I looked at my own usage data, and for now, there’s nothing particularly interesting. I wonder if anyone has any ideas.

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