Search Results for "engineering" - Page 6
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10095 projects for "engineering" with 1 filter applied:
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programmer-job-blacklist
Programmer job search blacklist, be careful when changing jobs
...The project was created as a public transparency initiative where developers can share information about companies accused of excessive overtime, unethical management, misleading recruitment practices, or harmful workplace culture. It primarily focuses on the Chinese technology sector but has gained broader recognition as an example of community-driven labor awareness in software engineering. The repository organizes reports, discussions, and references in a structured format that allows developers to research employers before accepting positions. Its existence reflects growing concern within the software industry regarding burnout, labor exploitation, and workplace accountability. -
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mini SWE-agent
The 100 line AI agent that solves GitHub issues
mini SWE-agent is a lightweight, minimalist AI-powered software engineering agent designed to autonomously solve GitHub issues and assist developers directly from the command line using large language models. Unlike more complex frameworks, it emphasizes simplicity and efficiency, consisting of roughly 100 lines of code while still achieving strong performance on benchmarks such as SWE-bench Verified, where it demonstrates competitive problem-solving capabilities. -
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Synkra AIOS
AI-Orchestrated System for Full Stack Development
...The framework includes features for project setup, environment configuration, deployment scaffolding, and intelligent code generation, potentially reducing time spent on boilerplate and repetitive engineering tasks. Synkra AIOS positions itself as a productivity middleware that integrates AI reasoning within traditional devops, front-end, and back-end workflows, allowing teams to produce production-ready applications faster. -
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OpenMeter
Metering and Billing for AI, API and DevOps
...OpenMeter integrates with payment processors, CRMs, and analytics systems, letting teams launch complex pricing models or subscription tiers without heavy custom engineering work. -
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jimmer
A revolutionary ORM framework for both java and kotlin.
...Brings dynamism into static language ORM frameworks, achieving flexible capabilities for operating on complex dynamic data structures without compromising the complete compile-time safety checks of static languages, eliminating DTO explosion and unafraid of engineering expansion and changing requirements. Its innovative SQL DSL supports dynamic table joins and native SQL embedding, gracefully handling real-world complexity. Focuses on business and reaping caching gains. CDC solutions decoupled from specific caching technologies are transparent to business code. Requires no special prior knowledge - veterans of any ORM can quickly and painlessly migrate. ... -
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Catlab.jl
A framework for applied category theory in the Julia language
Catlab.jl is a framework for applied and computational category theory, written in the Julia language. Catlab provides a programming library and interactive interface for applications of category theory to scientific and engineering fields. It emphasizes monoidal categories due to their wide applicability but can support any categorical structure that is formalizable as a generalized algebraic theory. First and foremost, Catlab provides data structures, algorithms, and serialization for applied category theory. Macros offer a convenient syntax for specifying categorical doctrines and type-safe symbolic manipulation systems. ... -
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Claude Code Skills & Plugins Hub
270+ Claude Code plugins with 739 agent skills
Claude Code Plugins Plus Skills is a large open-source ecosystem of plugins and AI “skills” designed to extend the capabilities of Claude Code development agents. The repository functions as a marketplace-style collection of hundreds of plugins and specialized skills that enable Claude Code to perform complex development, automation, and operational tasks. These plugins cover a wide range of domains including DevOps automation, security testing, API debugging, infrastructure management, and... -
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The Machine & Deep Learning Compendium
List of references in my private & single document
...The compendium includes explanations of concepts across multiple domains such as natural language processing, computer vision, time-series analysis, anomaly detection, and graph learning. In addition to technical algorithms, the project also covers practical topics related to data science workflows, engineering practices, and product development in AI systems. -
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how-to-optim-algorithm-in-cuda
How to optimize some algorithm in cuda
...These examples show how different optimization techniques influence performance on modern GPU hardware and allow readers to experiment with real implementations. The repository also contains extensive learning notes that summarize CUDA programming concepts, GPU architecture details, and performance engineering strategies. -
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LMOps
General technology for enabling AI capabilities w/ LLMs and MLLMs
...The initiative also investigates techniques for improving the reliability, scalability, and maintainability of applications powered by large models. By addressing challenges such as prompt engineering, evaluation strategies, and deployment infrastructure, LMOps aims to establish best practices for operating large language model systems in real-world environments. -
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POML
Prompt Orchestration Markup Language
POML, or Prompt Orchestration Markup Language, is a structured markup language created to improve the organization and maintainability of prompts used in large language model applications. Traditional prompt engineering often relies on unstructured text, which can become difficult to manage as prompts grow more complex and incorporate dynamic data sources. POML addresses this issue by introducing an HTML-like syntax that allows developers to organize prompts into structured components such as roles, tasks, and examples. This structure enables prompts to be reused, modified, and versioned more easily within complex AI applications. ... -
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12-Factor Agents
What are the principles we can use to build LLM-powered software
12-Factor Agents is a conceptual engineering guide that defines a set of principles for building reliable, scalable, and maintainable LLM-powered applications. Inspired by the original Twelve-Factor App methodology, the project reframes best practices specifically for agentic systems and AI software. It outlines patterns such as treating prompts as first-class assets, owning the context window, and converting natural language into structured tool calls. -
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Guides
Design and development guides
This repository is a curated collection of links and resources aimed at helping programmers improve their craft, especially with regard to coding style, design practices, development workflows, and engineering discipline. The idea is that instead of reinventing style guides or best-practices from scratch, developers can reference this repository for high-quality external guides, articles, and checklists across many languages and ecosystems. It is not a library in the usual sense, but acts as a “meta-guide” index — a directory of authoritative resources rather than runnable code. ... -
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Interviews
Comprehensive computer science and interview preparation guide
Interviews is an open source repository designed as a comprehensive guide to preparing for technical interviews, with a strong focus on computer science fundamentals and algorithmic problem solving. Created by Kevin Naughton Jr., the project compiles detailed notes, explanations, and code implementations that cover core areas tested in software engineering interviews. The repository emphasizes topics such as data structures, algorithms, system design, operating systems, databases, and networking. It also includes practical coding examples and solutions that demonstrate how to approach and solve common problems asked at companies like Google, Amazon, Facebook, and Microsoft. By consolidating essential knowledge in one place, the project helps learners efficiently review concepts and practice effectively for interviews. -
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ADK Go
Code-first Go toolkit for building, evaluating, and deploying AI agent
...It is part of the Agent Development Kit ecosystem and follows a code-first approach that allows developers to define agent behavior, tools, and orchestration logic directly in Go code. ADK-Go applies traditional software engineering principles to agent development, making it easier to structure, test, and maintain complex agent-based systems. It supports building both simple task-oriented agents and more advanced multi-agent architectures that collaborate to perform workflows. It is designed to be modular and flexible, allowing developers to integrate custom tools, external services, or existing functionality into agent workflows. ... -
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Grafbase
The Grafbase GraphQL Federation Gateway
...Grafbase is designed for large-scale production environments, emphasizing high throughput, low latency, and efficient resource usage through its Rust implementation. The system also includes tools for schema governance, API lifecycle management, and collaboration workflows, helping engineering teams safely evolve complex APIs over time. -
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HumanLayer
Open source IDE for orchestrating AI coding agents in large codebases
HumanLayer is an open source development environment designed to help developers orchestrate and manage AI coding agents working within complex software projects. It provides a framework and tooling that allow AI agents to research, plan, and implement changes in large codebases while maintaining structured workflows. It focuses on enabling AI-assisted development through coordinated agent workflows rather than isolated code generation tasks. HumanLayer integrates with modern AI models and... -
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Docker Agent
AI Agent Builder and Runtime by Docker Engineering
Docker Agent is an open-source multi-agent runtime developed by Docker that enables developers to define, run, and orchestrate AI agents using simple declarative configuration files instead of traditional code-heavy approaches. It introduces a YAML-based configuration model where users describe agent behavior, tools, models, and interaction logic in a single file, significantly reducing complexity in building AI systems. The runtime supports multi-agent collaboration, allowing specialized... -
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SuperPrompt
Experimental prompt framework exploring reasoning structures in AI
SuperPrompt is an experimental open source project focused on designing complex prompts intended to help researchers and developers better understand how AI agents reason and respond. It explores structured prompt engineering techniques that combine symbolic expressions, logical constructs, and conceptual frameworks to guide large language models toward deeper reasoning processes. Its main concept revolves around a highly structured prompt format that includes tagged sections for reasoning, analysis, conceptual expansion, and recursive thinking patterns. ... -
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DecryptPrompt
Summarize Prompt & LLM papers, open source data & models
DecryptPrompt is an open-source research repository dedicated to organizing and summarizing academic research related to prompts and large language models. The project collects papers, technical reports, and research materials that explore prompting techniques, model architectures, and reasoning strategies used in modern AI systems. It serves as a structured knowledge base where developers and researchers can quickly find key papers about topics such as chain-of-thought reasoning, prompt... -
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CUDOS Framework
Command Line Interface tool for Cloud Intelligence Dashboards
...It is part of the AWS Solutions Library and includes CloudFormation templates, CLI commands, and pre-built dashboards that collect, process, and visualize data from AWS billing, cost management, budgets, and usage reports in services such as Amazon QuickSight or other BI tools. These dashboards give finance and engineering teams the power to track spending trends, budget forecasts, account utilization patterns, and compliance signals in a unified view, enabling better governance and financial accountability at scale. -
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Generative AI for beginners with JS
Join a time-traveling adventure where you meet history’s legends
...Each lesson includes written explanations, hands-on exercises, quizzes, and supporting videos to help developers learn the material progressively. Topics covered include prompt engineering, building AI-powered applications, working with structured outputs, integrating retrieval-augmented generation, and enabling tool or function calling in AI systems. The repository focuses specifically on how generative AI can be integrated into web, mobile, or desktop applications using JavaScript frameworks and APIs. -
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The Alignment Handbook
Robust recipes to align language models with human and AI preferences
...The handbook also includes reproducible workflows for training instruction-following models and evaluating alignment quality across different datasets and benchmarks. One of its goals is to bridge the gap between academic research on alignment methods and practical engineering implementation. -
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FinRobot
An Open-Source AI Agent Platform for Financial Analysis using LLMs
FinRobot is an open-source AI framework focused on automating financial data workflows by combining data ingestion, feature engineering, model training, and automated decision-making pipelines tailored for quantitative finance applications. It provides developers and quants with structured modules to fetch market data, process time series, generate technical indicators, and construct features appropriate for machine learning models, while also supporting backtesting and evaluation metrics to measure strategy performance. ... -
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Figma Code Connect
A tool for connecting your design system components
...The system supports multiple frameworks and languages, enabling teams to generate usable code snippets, style values, and component metadata from visual designs without manual translation. This approach reduces miscommunication and repetitive tasks that traditionally occur between design and engineering teams, speeding up iteration cycles while preserving fidelity to the original design intent. It can be integrated into development environments or build tooling so design updates automatically propagate into code patterns or UI specs.
