91 skills found · Page 3 of 4
llnl / DapperDependency Analysis Project - tools to discover implicit dependencies in source code and on systems
AB498 / Code Context Provider MCPMCP server that provides code context and analysis for AI assistants. Extracts directory structure and code symbols using WebAssembly Tree-sitter parsers with Zero Native Dependencies.
MaibornWolff / DependaChartaDependaCharta is a multi-language code analysis and visualization tool that helps you quickly identify disadvantageous dependencies, cyclic dependencies, and quality hotspots.
supermodeltools / MCPSave up to 40% on agent token costs with code graphs: call graphs, dependency graphs, dead code detection, and blast radius analysis.
g0GobliN / Reality MapAI-powered codebase architecture visualizer for exploring modules, dependencies, dead code, impact analysis, and project health in real time.
XL2248 / DREGCNCode for "A Dependency Syntactic Knowledge Augmented Interactive Architecture for End-to-End Aspect-based Sentiment Analysis" on Neurocomputing.
joshburgess / Elm AssistFast Elm tooling without the Node.js and Elm runtime overhead. Includes a linter covering the popular elm-review rule packages, dead code detection, dependency graph analysis, automated refactoring, semantic code search, an interactive TUI dashboard, and an LSP server for any editor. Everything ships as standalone native Rust binaries.
Agents365-ai / Bbc SkillAgent-native CLI for fetching Bilibili video comments (UP主 self-analysis). Zero dependencies. Claude Code / Codex / OpenClaw support.
iunera / CodeanalysisOur efforts to plan reactroings in a structured way. Mainly, we apply advanced dependency analysis of source code
anujkumarthakur / Rust TutorialIntroduction Note: This edition of the book is the same as The Rust Programming Language available in print and ebook format from No Starch Press. Welcome to The Rust Programming Language, an introductory book about Rust. The Rust programming language helps you write faster, more reliable software. High-level ergonomics and low-level control are often at odds in programming language design; Rust challenges that conflict. Through balancing powerful technical capacity and a great developer experience, Rust gives you the option to control low-level details (such as memory usage) without all the hassle traditionally associated with such control. Who Rust Is For Rust is ideal for many people for a variety of reasons. Let’s look at a few of the most important groups. Teams of Developers Rust is proving to be a productive tool for collaborating among large teams of developers with varying levels of systems programming knowledge. Low-level code is prone to a variety of subtle bugs, which in most other languages can be caught only through extensive testing and careful code review by experienced developers. In Rust, the compiler plays a gatekeeper role by refusing to compile code with these elusive bugs, including concurrency bugs. By working alongside the compiler, the team can spend their time focusing on the program’s logic rather than chasing down bugs. Rust also brings contemporary developer tools to the systems programming world: Cargo, the included dependency manager and build tool, makes adding, compiling, and managing dependencies painless and consistent across the Rust ecosystem. Rustfmt ensures a consistent coding style across developers. The Rust Language Server powers Integrated Development Environment (IDE) integration for code completion and inline error messages. By using these and other tools in the Rust ecosystem, developers can be productive while writing systems-level code. Students Rust is for students and those who are interested in learning about systems concepts. Using Rust, many people have learned about topics like operating systems development. The community is very welcoming and happy to answer student questions. Through efforts such as this book, the Rust teams want to make systems concepts more accessible to more people, especially those new to programming. Companies Hundreds of companies, large and small, use Rust in production for a variety of tasks. Those tasks include command line tools, web services, DevOps tooling, embedded devices, audio and video analysis and transcoding, cryptocurrencies, bioinformatics, search engines, Internet of Things applications, machine learning, and even major parts of the Firefox web browser. Open Source Developers Rust is for people who want to build the Rust programming language, community, developer tools, and libraries. We’d love to have you contribute to the Rust language. People Who Value Speed and Stability Rust is for people who crave speed and stability in a language. By speed, we mean the speed of the programs that you can create with Rust and the speed at which Rust lets you write them. The Rust compiler’s checks ensure stability through feature additions and refactoring. This is in contrast to the brittle legacy code in languages without these checks, which developers are often afraid to modify. By striving for zero-cost abstractions, higher-level features that compile to lower-level code as fast as code written manually, Rust endeavors to make safe code be fast code as well. The Rust language hopes to support many other users as well; those mentioned here are merely some of the biggest stakeholders. Overall, Rust’s greatest ambition is to eliminate the trade-offs that programmers have accepted for decades by providing safety and productivity, speed and ergonomics. Give Rust a try and see if its choices work for you. Who This Book Is For This book assumes that you’ve written code in another programming language but doesn’t make any assumptions about which one. We’ve tried to make the material broadly accessible to those from a wide variety of programming backgrounds. We don’t spend a lot of time talking about what programming is or how to think about it. If you’re entirely new to programming, you would be better served by reading a book that specifically provides an introduction to programming. How to Use This Book In general, this book assumes that you’re reading it in sequence from front to back. Later chapters build on concepts in earlier chapters, and earlier chapters might not delve into details on a topic; we typically revisit the topic in a later chapter. You’ll find two kinds of chapters in this book: concept chapters and project chapters. In concept chapters, you’ll learn about an aspect of Rust. In project chapters, we’ll build small programs together, applying what you’ve learned so far. Chapters 2, 12, and 20 are project chapters; the rest are concept chapters. Chapter 1 explains how to install Rust, how to write a Hello, world! program, and how to use Cargo, Rust’s package manager and build tool. Chapter 2 is a hands-on introduction to the Rust language. Here we cover concepts at a high level, and later chapters will provide additional detail. If you want to get your hands dirty right away, Chapter 2 is the place for that. At first, you might even want to skip Chapter 3, which covers Rust features similar to those of other programming languages, and head straight to Chapter 4 to learn about Rust’s ownership system. However, if you’re a particularly meticulous learner who prefers to learn every detail before moving on to the next, you might want to skip Chapter 2 and go straight to Chapter 3, returning to Chapter 2 when you’d like to work on a project applying the details you’ve learned. Chapter 5 discusses structs and methods, and Chapter 6 covers enums, match expressions, and the if let control flow construct. You’ll use structs and enums to make custom types in Rust. In Chapter 7, you’ll learn about Rust’s module system and about privacy rules for organizing your code and its public Application Programming Interface (API). Chapter 8 discusses some common collection data structures that the standard library provides, such as vectors, strings, and hash maps. Chapter 9 explores Rust’s error-handling philosophy and techniques. Chapter 10 digs into generics, traits, and lifetimes, which give you the power to define code that applies to multiple types. Chapter 11 is all about testing, which even with Rust’s safety guarantees is necessary to ensure your program’s logic is correct. In Chapter 12, we’ll build our own implementation of a subset of functionality from the grep command line tool that searches for text within files. For this, we’ll use many of the concepts we discussed in the previous chapters. Chapter 13 explores closures and iterators: features of Rust that come from functional programming languages. In Chapter 14, we’ll examine Cargo in more depth and talk about best practices for sharing your libraries with others. Chapter 15 discusses smart pointers that the standard library provides and the traits that enable their functionality. In Chapter 16, we’ll walk through different models of concurrent programming and talk about how Rust helps you to program in multiple threads fearlessly. Chapter 17 looks at how Rust idioms compare to object-oriented programming principles you might be familiar with. Chapter 18 is a reference on patterns and pattern matching, which are powerful ways of expressing ideas throughout Rust programs. Chapter 19 contains a smorgasbord of advanced topics of interest, including unsafe Rust, macros, and more about lifetimes, traits, types, functions, and closures. In Chapter 20, we’ll complete a project in which we’ll implement a low-level multithreaded web server! Finally, some appendixes contain useful information about the language in a more reference-like format. Appendix A covers Rust’s keywords, Appendix B covers Rust’s operators and symbols, Appendix C covers derivable traits provided by the standard library, Appendix D covers some useful development tools, and Appendix E explains Rust editions. There is no wrong way to read this book: if you want to skip ahead, go for it! You might have to jump back to earlier chapters if you experience any confusion. But do whatever works for you. An important part of the process of learning Rust is learning how to read the error messages the compiler displays: these will guide you toward working code. As such, we’ll provide many examples that don’t compile along with the error message the compiler will show you in each situation. Know that if you enter and run a random example, it may not compile! Make sure you read the surrounding text to see whether the example you’re trying to run is meant to error. Ferris will also help you distinguish code that isn’t meant to work:
ThunderStruct / NbrefactorAn automation tool to refactor Jupyter Notebooks to Python modules, with code dependency analysis.
talionwar / Fondamenta ArchcodeZero-dependency codebase intelligence for AI agents and humans. Static analysis → structured Markdown → readable by any LLM. 8 code health agents included.
TheYuuu / Code Dependency Analysis扫描文件结构以及代码依赖关系，绘制视图辅助开发者快速熟悉模块代码， 亦可评估需求改动范围
alissonlinneker / Shield Claude SkillSecurity orchestration for code editor CLIs. Autonomous pentests. Static analysis. Secrets scanning. Dependency audits. One command.
ivasik-k7 / Tfkit VscodeA VS Code extension that brings Terraform analysis and visualization directly into your editor. Scan projects, generate dependency graphs, validate configurations, and manage infrastructure code without leaving VS Code.
Neko1313 / GraphlensPolyglot code-analysis framework — parses Python, TypeScript, Go, Rust & PHP into a shared graph IR (tree-sitter + type-aware resolvers: ty, tsc, gopls, rust-analyzer). Call/dependency graphs, cross-language boundaries, Neo4j export
briancai / Code Analyzer CliA blazing-fast, Rust-based code analysis CLI powered by tree-sitter. Analyze code structure, track dependencies, and explore call graphs across multiple languages. Optimized for AI coding agents
Anuraj-IND / Modernization EngineAI-powered legacy code modernization engine that upgrades Java applications to Java 21 or Python using static analysis, offline RAG, dependency-aware translation, and local LLMs.
jashwanth / Remote Code PublisherRemote-Code-Publisher Purpose: A Code Repository is a Program responsible for managing source code resources, e.g., files and documents. A fully developed Repository will support file persistance, managment of versions, and the acquisition and publication of source and document files. A Remote Repository adds the capability to access the Repository's functionality over a communication channel, e.g., interprocess communication, inter-network communication, and communication across the internet. In this project we will focus on the publication functionality of a Remote Repository. We will develop a remote code publisher, local client, and communication channel that supports client access to the publisher from any internet enabled processor. The communication channel will use sockets and support an HTTP like message structure. The channel will support: HTTP style request/response transactions One-way communication, allowing asynchronous messaging between any two endpoints that are capable of listening for connection requests and connecting to a remote listener. Transmission of byte streams that are set up with one or more negotiation messages followed by transmission of a stream of bytes of specified stream size2. The Remote Code Publisher will: Support publishing web pages that are small wrappers around C++ source code files, just as we did in Project #3. Accept source code text files, sent from a local client. Support building dependency relationships between code files saved in specific repository folders, based on the functionality you provided in Project #2 and used in Project #3. Support HTML file creation for all the files in a specified repository folder1, including linking information that displays dependency relationships, and supports and navigation based on dependency relationships. Delete stored files, as requested by a local client. Clients of the Remote Code Publisher will provide a Graphical User Interface (GUI) with means to: Upload one or more source code text files to the Remote Publisher, specifying a category with which those files are associated1. Display file categories, based on the directory structure supported by the Repository. Display all the files in any category. Display all of the files in any category that have no parents. Display the web page for any file in that file list by clicking within a GUI control. This implies that the client will download the appropriate webpages, scripts, and style sheets and display, by starting a browser with a file cited on the command line2. On starting, will download style sheet and JavaScript files from the Repository. Note that your client does not need to supply the functionality to display web pages. It simply starts a browser to do that. Browsers will accept a file name, which probably includes a relative path to display a web page from the local directory. You could also start IIS web server and provide an appropriate URL to the browser on startup. Either approach is acceptable. If you use IIS, you won't have to download files, but you are obligated to show that you can do that. Requirements: Your Remote Repository: (2) Shall use Visual Studio 2015 and its C++ Windows console projects, as provided in the ECS computer labs. You must also use Windows Presentation Foundation (WPF) to provide a required client Graphical User Interface (GUI). (1) Shall use the C++ standard library's streams for all console I/O and new and delete for all heap-based memory management. (3) Shall provide a Repository program that provides functionality to publish, as linked web pages, the contents of a set of C++ source code files. (4) Shall, for the publishing process, satisfy the requirements of CodePublisher developed in Project #3. (4) Shall provide a Client program that can upload files3, and view Repository contents, as described in the Purpose section, above. (3) Shall provide a message-passing communication system, based on Sockets, used to access the Repository's functionality from another process or machine. (2) The communication system shall provide support for passing HTTP style messages using either synchronous request/response or asynchronous one-way messaging. (1) The communication system shall also support sending and receiving streams of bytes6. Streams will be established with an initial exchange of messages. (5) Shall include an automated unit test suite that demonstrates you meet all the requirements of this project4 including the transmission of files. (5 point bonus) Shall optionally use a lazy download strategy, that, when presented with a name of a source code web page, will download that file and all the files it links to. This allows you to demonstrate your project using local webpages instead of downloading the entire contents of the Code Publisher for demonstration. (5 point bonus) Shall optionally have the publisher accept a path, on the commandline, to a virtual directory on the server. Then support browsing directly from the server by supplying a url to that path when you start a browser. This works only if you setup IIS on your machine and make the path a virtual directory. The TAs will do that on the grading machines. Categories are the names of folders in which the Repository stores its source code and web files. You may define Categories in any way that seems sensible. For example, they could simply be the namespace(s) for the uploaded files, or a Client supplied name. You will find a demonstration of how to programmatically start an application here. The stream capablity is intended to send files, which could be either text or binary format. Stream size will be the file size. Transmitting and receiving byte streams will be used to send and receive files in either text or binary format. This is in addition to the construction tests you include as part of every package you submit. Project 3 statement: Purpose: A Code Repository is a Program responsible for managing source code resources, e.g., files and documents. A fully developed Repository will support file persistance, managment of versions, and the acquisition and publication of source and document files. This project focuses on just the publishing functionality of a repository. In this project we will develop means to display source code files as web pages with embedded child links. Each link refers to a code file that the displayed code file depends on. There are several things you need to know in order to complete this project: Each file to be published is a C++ source file. Our publisher will generate, for each of these, an HTML file, with most of the contents drawn from the code file. The pages we will generate have only static content, with the exception of some embedded JavaScript and styling, so we won't need a web server. We will need to preserve the white space structure of the displayed source code. That can be done embedding all the code between the tags <pre> and </pre> or by using the CSS white-space property with value "pre" to style a div with all the code in its contents. Any markup characters in the code text will have to be escaped, e.g., replace < with < and > with >. File dependencies are displayed in the web page with embedded links, which are implemented in HTML5 with anchor elements: <a href="[url of referenced html page]">source code file name</a> For each class, we will, optionally, implement outlining, similar to the visual studio outlining feature. To do that we will use the CSS display property, with values: normal or none, to control whether the contents of a div are visible or not. The Code Publisher will be embedded in a mock Repository with almost no functionality except to support publishing of source code as web pages. Specifically you are not expected to provide support for: package checkin or checkout versioning You are expected to support: Dependency analysis of the C++ source code files you will publish, using the analyzer you developed in Project #2. The ability to specify, on the command line, files to be published, by providing command line arguments for path and file patterns. The ability to display any file cited on the command line, by starting a process that runs a browser of your choice, naming the specification of the file you want to display. Note that the CodePublisher project creates a code generator. Its inputs are C++ code and its outputs are HTML code. Requirements: Your CodePublisher Project: (1) Shall use Visual Studio 2015 and its C++ Windows console projects, as provided in the ECS computer labs. (2) Shall use the C++ standard library's streams for all console I/O and new and delete for all heap-based memory management1. (4) Shall provide a Publisher program that provides for creation of web pages each of which captures the content of a single C++ source code file, e.g., *.h or *.cpp. (10) Shall, optionally2 provide the facility to expand or collapse class bodies, methods, and global functions using JavaScript and CSS properties. (2) Shall provide a CSS style sheet that the Publisher uses to style its generated pages and (if you are implementing the previous optional requirement) a JavaScript file that provides functionality to hide and unhide sections of code for outlining, using mouse clicks. (2) Shall embed in each web page's <head> section links to the style sheet and JavaScript file. (4) Shall embedd HTML5 links to dependent files with a label, at the top of the web page. Publisher shall use functionality from your Project #2 to discover package dependencies within the published set of source files. (2) Shall develop command line processing to define the files to publish by specifying path and file patterns. (3) Shall demonstrate the CodePublisher functionality by publishing all the important packages in your Project #3. (5) Shall include an automated unit test suite that demonstrates you meet all the requirements of this project2. That means that you are not allowed to use any of the C language I/0, e.g., printf, scanf, etc, nor the C memory management, e.g., calloc, malloc, or free. This optional requirement will take a significant amount of work to complete successfully. You should get everything else working before attempting this additional effort. This is in addition to the construction tests you include as part of every package you submit.
supermodeltools / SDKSave up to 40% on agent token costs with code graphs: call graphs, dependency graphs, dead code detection, and blast radius analysis.
