Hacker News with Generative AI: Code Analysis

A messy experiment that changed how I think about AI code analysis (nmn.gl)
Last week, I watched our AI choke on a React codebase - again. As timeout errors flooded my terminal, something clicked. We’d been teaching AI to read code like a fresh bootcamp grad, not a senior developer.
Court is in session: Top most notorious C and C++ errors in 2024 (pvs-studio.com)
Every year, we witness the same drama: bugs wreak havoc on our code as if asserting their dominance. But today, the tide turns—it's time for judgment. Let's dive into the most intriguing bugs we've uncovered this year.
X-Ray View into Your Software Application and Underlying Functions (codeyam.com)
Software becomes complex very quickly. This makes maintaining quality, communicating about changes, and even thinking about your application difficult.
Stack Analyser: detect technologies used inside a repo (github.com/specfy)
Eclipse Steady – Java Code Analysis (github.com/eclipse)
Discover, assess and mitigate known vulnerabilities in your Java projects
What was the point of [ "x$var" = "xval" ]? (2021) (vidarholen.net)
In shell scripting you sometimes come across comparisons where each value is prefixed with "x". Here are some examples from GitHub:
Show HN: Repo2vec – an open-source library for chatting with any codebase (github.com/Storia-AI)
JPlag – Detecting Software Plagiarism (github.com/jplag)
Show HN: How we use LLMs to find testing gaps, vulnerabilities in codebases (github.com/codeintegrity-ai)
Inference of Error Specifications and Bug Detection Using Structural Similarity [pdf] (usenix.org)
Boosting Compiler Testing by Injecting Real-World Code (dl.acm.org)
Show HN: Traycer – AI-Powered Code Analysis in Real Time for VSCode (visualstudio.com)