#codeanalysis

2026-01-21

Công cụ Arbor v1.4 giúp trả lời câu hỏi: "Thay đổi hàm này sẽ làm hỏng gì?" bằng phân tích cơ sở mã như một đồ thị gọi hàm, không dùng tìm kiếm văn bản. Có giao diện GUI đơn giản, điểm tin cậy cho phụ thuộc, và giải thích rõ vai trò hàm (Điểm vào, Tiện ích, Logic cốt lõi...). Hữu ích khi refactor hoặc làm việc với codebase lớn. #Arbor #CodeAnalysis #DevTool #PhânTíchMã #CôngCụLậpTrình

github.com/Anandb71/arbor

2026-01-21

🚀 Cập nhật Arbor v1.4: công cụ phân tích đồ thị gọi hàm giúp trả lời “Thay đổi hàm này sẽ phá vỡ gì?”. 🎯 Giao diện GUI đơn giản, tính điểm confidence, và phân loại vai trò (Entry Point, Utility, Core Logic). Hữu ích cho dự án lớn, refactor code. 🎤 Sẵn sàng trả lời câu hỏi kỹ thuật!

#Arbor #codeanalysis #refactoring #CôngCụPhânTích #LậpTrình #SoftwareEngineering #phân_tích_mã #đồ_thị_gọi_hàm

github.com/Anandb71/arbor

2026-01-20

Improving Code Quality using Code Clone Analysis | Visual Studio Toolbox with Robert Green & Phil Japikse www.youtube.com/watch?v=WKoP... #visualstudio #softwaredev #dotnet #coding #quality #codeanalysis

Improving Code Quality using C...

2026-01-18

Thanks for this, @JessTheUnstill!

Guess I can brag about my static code analyzer: it scans a 42K LOC Java codebase in 4 seconds, with over 30 rules enabled.

codeberg.org/bannmann/mandor

Here's the story: Working solo on that Java codebase, I kept stumbling on code smells and patterns that I had already decided to avoid. It's just too hard to think of all the gotchas & small inconsistencies. At work, reviewers usually find those, but with this hobby project that's not an option. And existing solutions mostly ignore the stuff I care about. So I did what any developer would do: write software that helps with writing software. 🙈

All its rules are opt-in, which is important as they range from best practice to opinionated & even nitpicky.

It's useful to me & has become a fun side project for my side project.
😁

Now if somebody else starts using it, all the better! I would finally have a reason to expand the Readme with its simple list of rules into real documentation.

#Java #CodeAnalysis

Erik C. Thauvinethauvin
2025-12-30
Erik C. Thauvinethauvin
2025-12-29
2025-12-24

Không nên xem kho lưu trữ GitHub như tài liệu thuần túy! Các công cụ phân tích AI hiện tại thường nhúng mọi tệp, bỏ qua cấu trúc và luồng code. Cách tiếp cận tốt hơn là "điều hướng" repo: dùng LLM để chọn tệp cần mở, phân tích dần dần, giống cách kỹ sư thực thụ khám phá code. Embeddings chỉ là tối ưu hóa.

#GitHub #CodeAnalysis #LLM #AI #LậpTrình #PhânTíchCode

reddit.com/r/programming/comme

Orhun Parmaksız 👾orhun@fosstodon.org
2025-12-05

Today I found a helper TUI for coding Rust 🦀

🛠️ ploke — Graph-native Rust code analysis in your terminal.

🧠 Understand your project with a fully queryable code graph & context-aware assistant.

🦀 Written in Rust & built with @ratatui_rs

⭐ GitHub: github.com/josephleblanc/ploke

#rustlang #ratatui #tui #ai #rag #codeanalysis #devtools #terminal

Erik C. Thauvinethauvin
2025-11-28
2025-11-28

Kỹ sư điện tử tạo Miraje, AI copilot phân tích code GitHub. Dành cho lập trình viên mới, Miraje đơn giản hóa báo cáo lỗi, chỉ dẫn sửa chữa theo cấp độ, tạo danh sách việc cần làm. Giúp học và cải thiện code thân thiện hơn!
#AI #Copilot #CodeAnalysis #BeginnerCoders #SoftwareDevelopment #Miraje #TrợLýAI #PhânTíchCode #LậpTrìnhViênMới #KỹThuậtPhầnMềm

reddit.com/r/SaaS/comments/1p8

Erik C. Thauvinethauvin
2025-10-31
SoftwareArchitecture GatheringSAG_Conference
2025-10-31

🕵️‍♂️ Is your architecture a crime scene? 🔍

At , @ManfredSteyer explores how forensic code analysis reveals hidden patterns, hotspots & change coupling — helping you build sustainable, maintainable systems. 💡

Discover how to investigate your architecture before it’s too late 👉 t1p.de/tcks6

Session "Your Architecture as a Crime Scene? Forensic Analysis for Sustainable Solutions" by Manfred Steyer
2025-10-10

Great write up from @bagder
about the benefits curl received from new AI code analyzers. Daniel has previously complained about all the AI slop the project has received, so this is a surprising twist.

“An obvious and powerful benefit this tool seems to have compared to others is that it scans all source code without having a build. That means it can detect problems in all backends used in all build combinations. Old style code analyzers require a proper build to analyze and since you can build curl in countless combinations with a myriad of backend setups (where several are architecture or OS specific), it is literally impossible to have all code analyzed with such tools.”

daniel.haxx.se/blog/2025/10/10

#curl #codeanalysis #ai

Asfaloadasfaload
2025-06-20

github.com/joernio/joern is a multi language code analysis tool. Its release checksums are mirrored by Asfaload to increase the security of downloading it. Check how at asfaload.com/asfald/

2025-04-03

Rust identifiers, demystified! We're revealing our analysis toolchain's secrets in our latest blog. Discover how we tackle global vs. local identifiers for better formal verification with hax.

Read the full story: hax.cryspen.com/blog/2025/04/0

#RustLang #CodeAnalysis #HighAssurance

2025-02-25

Wir feiern die Vielfalt und Freiheit von Open Source Software (OSS)! 🎉

Damit OSS auch wirklich sicher bleibt, ist eine regelmäßige Überprüfung des Quellcodes unerlässlich. Denn: Erfolgreiche Angriffe lassen sich häufig auf Fehler im Programmcode zurückführen. Hier kommt unser Projekt CAOS ins Spiel!📖 Neugierig auf mehr? Erfahrt hier alles über CAOS und unsere spannenden Analysen: bsi.bund.de/dok/1092594

#OpenSource #CyberSecurity #CodeAnalysis

Sicherer unterwegs mit Open Source: Das CAOS-Projekt
Mit gezielten Codeanlaysen machen wir Open Source Software sicherer. Entdeckt, wie wir digitale Risiken minimieren.Was ist CAOS?
Das Projekt „Codeanalyse von Open Source Software“ (CAOS) untersucht weit verbreitete Open Source Software auf Sicherheitslücken. Durch dynamische Codeanalysen werden Schwachstellen im Code erkannt und behoben.

Warum ist das wichtig?
Cyberangriffe nutzen oft Programmierfehler aus. Durch Codeanalysen lassen sich Sicherheitslücken aufdecken, bevor sie Schaden anrichten können.

Was wurde bereits untersucht?
KeePass, Vaultwarden, Matrix, Mastodon, Jitsi & mehr.

📢 Gefundene Schwachstellen?
Direkt gemeldet und behoben - für mehr digitale Sicherheit. Entwicklerinnen und Entwickler reagieren schnell auf die von uns gemeldeten Schwachstellen. So sorgen wir gemeinsam dafür, dass OSS sicher bleibt!

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst