27 skills found
koderover / ZadigZadig: An AI-powered, cloud-native, distributed DevOps platform designed for developers
middlewarehq / Middleware✨ Open-source DORA metrics platform for engineering teams ✨
spring-attic / Spring RooSpring Roo is a next-generation rapid application development tool for Java developers. It focuses on higher productivity, stock-standard Java APIs, high usability, avoiding engineering trade-offs and facilitating easy Roo removal.
sanusanth / Python Basic ProgramsWhat is Python? Executive Summary Python is an interpreted, object-oriented, high-level programming language with dynamic semantics. Its high-level built in data structures, combined with dynamic typing and dynamic binding, make it very attractive for Rapid Application Development, as well as for use as a scripting or glue language to connect existing components together. Python's simple, easy to learn syntax emphasizes readability and therefore reduces the cost of program maintenance. Python supports modules and packages, which encourages program modularity and code reuse. The Python interpreter and the extensive standard library are available in source or binary form without charge for all major platforms, and can be freely distributed. Often, programmers fall in love with Python because of the increased productivity it provides. Since there is no compilation step, the edit-test-debug cycle is incredibly fast. Debugging Python programs is easy: a bug or bad input will never cause a segmentation fault. Instead, when the interpreter discovers an error, it raises an exception. When the program doesn't catch the exception, the interpreter prints a stack trace. A source level debugger allows inspection of local and global variables, evaluation of arbitrary expressions, setting breakpoints, stepping through the code a line at a time, and so on. The debugger is written in Python itself, testifying to Python's introspective power. On the other hand, often the quickest way to debug a program is to add a few print statements to the source: the fast edit-test-debug cycle makes this simple approach very effective. What is Python? Python is a popular programming language. It was created by Guido van Rossum, and released in 1991. It is used for: web development (server-side), software development, mathematics, system scripting. What can Python do? Python can be used on a server to create web applications. Python can be used alongside software to create workflows. Python can connect to database systems. It can also read and modify files. Python can be used to handle big data and perform complex mathematics. Python can be used for rapid prototyping, or for production-ready software development. Why Python? Python works on different platforms (Windows, Mac, Linux, Raspberry Pi, etc). Python has a simple syntax similar to the English language. Python has syntax that allows developers to write programs with fewer lines than some other programming languages. Python runs on an interpreter system, meaning that code can be executed as soon as it is written. This means that prototyping can be very quick. Python can be treated in a procedural way, an object-oriented way or a functional way. Good to know The most recent major version of Python is Python 3, which we shall be using in this tutorial. However, Python 2, although not being updated with anything other than security updates, is still quite popular. In this tutorial Python will be written in a text editor. It is possible to write Python in an Integrated Development Environment, such as Thonny, Pycharm, Netbeans or Eclipse which are particularly useful when managing larger collections of Python files. Python Syntax compared to other programming languages Python was designed for readability, and has some similarities to the English language with influence from mathematics. Python uses new lines to complete a command, as opposed to other programming languages which often use semicolons or parentheses. Python relies on indentation, using whitespace, to define scope; such as the scope of loops, functions and classes. Other programming languages often use curly-brackets for this purpose. Applications for Python Python is used in many application domains. Here's a sampling. The Python Package Index lists thousands of third party modules for Python. Web and Internet Development Python offers many choices for web development: Frameworks such as Django and Pyramid. Micro-frameworks such as Flask and Bottle. Advanced content management systems such as Plone and django CMS. Python's standard library supports many Internet protocols: HTML and XML JSON E-mail processing. Support for FTP, IMAP, and other Internet protocols. Easy-to-use socket interface. And the Package Index has yet more libraries: Requests, a powerful HTTP client library. Beautiful Soup, an HTML parser that can handle all sorts of oddball HTML. Feedparser for parsing RSS/Atom feeds. Paramiko, implementing the SSH2 protocol. Twisted Python, a framework for asynchronous network programming. Scientific and Numeric Python is widely used in scientific and numeric computing: SciPy is a collection of packages for mathematics, science, and engineering. Pandas is a data analysis and modeling library. IPython is a powerful interactive shell that features easy editing and recording of a work session, and supports visualizations and parallel computing. The Software Carpentry Course teaches basic skills for scientific computing, running bootcamps and providing open-access teaching materials. Education Python is a superb language for teaching programming, both at the introductory level and in more advanced courses. Books such as How to Think Like a Computer Scientist, Python Programming: An Introduction to Computer Science, and Practical Programming. The Education Special Interest Group is a good place to discuss teaching issues. Desktop GUIs The Tk GUI library is included with most binary distributions of Python. Some toolkits that are usable on several platforms are available separately: wxWidgets Kivy, for writing multitouch applications. Qt via pyqt or pyside Platform-specific toolkits are also available: GTK+ Microsoft Foundation Classes through the win32 extensions Software Development Python is often used as a support language for software developers, for build control and management, testing, and in many other ways. SCons for build control. Buildbot and Apache Gump for automated continuous compilation and testing. Roundup or Trac for bug tracking and project management. Business Applications Python is also used to build ERP and e-commerce systems: Odoo is an all-in-one management software that offers a range of business applications that form a complete suite of enterprise management applications. Try ton is a three-tier high-level general purpose application platform.
leonid20000 / OdinRunesOdin Runes, a java-based GPT client, facilitates interaction with your preferred GPT model right through your favorite text editor. There is more: It also facilitates prompt-engineering by extracting context from diverse sources using technologies such as OCR, enhancing overall productivity and saving costs.
alchemiststudiosDOTai / Harness Engineeringharness-engineering discussion of shortcuts, automation, hacks and overall productivity with code agents like claude code, codex, and other harness.
agilecustoms / ReleaseGitHub action to release a microservice - git tags, upload binary in S3
UncertaintyArchitectureGroup / The Subprime Code CrisisINDUSTRY ALERT: The Subprime Code Crisis. A data-driven analysis of how AI assistants inflate a bubble of technical debt. Featuring research on 211M lines of code, this report exposes the "Placebo Analytics" of AI productivity and provides a framework for engineering governance.
gtri / Rapid Modeling ToolsModel Based Systems Engineering productivity tool to automatically create and manage changes in Cameo MagicDraw models utilizing user-defined modeling patterns.
seqis / OpenClaw Skills Converted From Claude CodePortable OpenClaw skill pack converted from Claude Code and exported from my OpenClaw implementation. Includes centralized skill-routing map. Contains engineering, coding, automation, and productivity skills in both tree and flat formats for reuse and adaptation into your own OpenClaw implementation.
sushruthreddygade / ItuHMSPurpose The purpose of this project is to apply and learn advanced software engineering concepts gathering requirements for a software application that schedules the hospital personnel and then derive use cases from them. This involves reviewing of already existing software and learning website and derive requirements and use cases based on the website primary features. The project also encompasses construction of, sequence diagram, design class diagram, Collaboration diagrams and other UML modeling diagrams based on the derived use cases. At the end, high level planning is done for the whole project based on derived use cases by Agile efforts estimation technique. Scope The project will consist of developing personnel scheduling software. Modules of the website include a login feature, a schedule checker and a schedule planner. Our innovative 100% web-based Scheduling & Open Shift Management (OSM) product can help managers efficiently schedule their staff, and also lets the staff help managers fill open shifts online, see schedules and changes, request time- off, swap shifts, etc, etc. All schedules, changes, approvals, and alerts not only happen online in real-time, but also are sent out as emails and text messages to cell phones. Our Software can cut manager time wasted on scheduling tasks by 50% or more and let them get back to MANAGING! Introduction to HMSS When workforce includes hundreds of employees, open shifts are inevitable. Without the right skills-based workforce management tools in place, nurse managers and staffing managers spend a disproportionate amount of time trying to fill scheduling gaps. Not only is this inefficient, but it leads to increased costs and reduced employee satisfaction. Advantages of having online scheduling system 2.1. ● Save Money Reduce premium labor costs by leveraging the most cost-effective, qualified staff to fill open shifts. Stop wasting time you don’t have on scheduling. Decrease the time it takes you to create a weekly schedule for your team by over 75 percent with HMSS. ● Save Time Save countless hours using instant communication strategies to fill open shifts. ● Keep Workers Happy Increase employee satisfaction by empowering them to choose when they want to work based on experience, competencies, and skills. ● Faster, Easier Scheduling Healthcare staff scheduling has never been easier. Spend minutes instead of hours organizing shifts for your nurses and other medical staff. ● Monitor Attendance Hospital Management System (Personal Scheduling System) – SWE 600 (Fall 2015) Prof. Instructors: Dr. R. Riehle & Q Asghar See which employees are coming in late or missing shifts. Send shift reminders automatically to make sure everyone is on the same page. ● Give Staff More Independence Take some work off your own plate with collaborative healthcare staff scheduling options. Allow your employees to request shift trades and swaps on their own so you don’t have to micromanage them. ● Avoid Human Error Humans make mistakes, but HMSS doesn’t. If you forget to fill a shift or overbook one, the software immediately notifies you of your error, allowing you to rectify it right away. ● Create Perfect Timesheets Export perfect timesheets to create perfect attendance and work reports. Better healthcare staff scheduling means easier payroll processing as well. To deliver the best care possible to patients, we must begin with the best possible workforce management solution for our staff. With HMSS, we help control labor costs, minimize compliance risk, improve workforce productivity, and deliver quality, cost-effective care. Here’s how: • Physician coverage scheduling enables the effective and equitable deployment of physicians and other clinician providers – your group, your rules, to build your schedules • Advanced staffing supports the safest and most appropriate assignment of caregiver staff to patients, and balances workload distribution in the best interests of patients and staff • Intelligently forecast volume to build optimal schedules helps ensure proper staff coverage for every shift, every day, across your entire organization • On-demand visibility with labor analytics controls labor costs and allows organizations to make evidence-based decisions • Mobile management supports paperless workflow and employee self-service for your on-the-go workforce
RedHatInsights / Tangerine Backend🍊 The RAG chat bot system utilized by Red Hat's engineering productivity team
marcelo-davanco / StubrixAdvanced API Engineering, Mocking & Developer Productivity Platform — dual mock engine (WireMock + Mockoon), contract testing, chaos engineering, multi-protocol (GraphQL/gRPC/Kafka), observability, LocalStack AWS simulation and more.
Seagate / Seagate ToolsSeagate-tools stores source codes of tools such as PerfPro, PerfLine, etc. These tools are developed and used by the Engineering team to boost team productivity.
usejina / Awesome Engineering AgentsA curated list of AI engineering agents that can 10x your software engineering team's productivity and help build an agentic engineering stack.
AvaliaSystems / Dx HubDX Hub: ignite your Backstage Developer Portal
Justmalhar / ThinkLikeAnEngineer💡 Think Like An Engineer is a roadmap for engineering leadership, a toolkit for growth hacking through engineering, and a manifesto for productivity enhancement
PierreJanineh / TechDebtMCPMCP server for analyzing and managing technical debt in codebases via the Model Context Protocol
poran120 / React Nextjs BoilerplateEngineering-grade React + Next.js + TypeScript boilerplate. Scalable, type-safe architecture with clean folder structure, modern frontend patterns, built-in state management, and code quality tooling. Ready for production and professional web app development.
Scibourne23 / Vectia CATIA MacrosVectia is an engineering productivity platform for CATIA V5. This toolkit of powerful macros streamlines critical workflows from initial design to final documentation. It's built to accelerate development, reduce manual error, and empower the modern engineer.
