#other
Cognitive load is the mental effort needed to understand and work with code. Since our brain can only hold about four pieces of information at once, complex code with many conditions, deep inheritance, or too many small modules increases this load, making it harder to understand and maintain. To reduce cognitive load, use clear, meaningful variable names, prefer composition over inheritance, avoid too many tiny modules, and keep interfaces simple. Also, avoid excessive abstractions, tight coupling with frameworks, and overly complex architectures. Lower cognitive load helps you and your team understand code faster, reduce bugs, and be more productive.
https://github.com/zakirullin/cognitive-load
Cognitive load is the mental effort needed to understand and work with code. Since our brain can only hold about four pieces of information at once, complex code with many conditions, deep inheritance, or too many small modules increases this load, making it harder to understand and maintain. To reduce cognitive load, use clear, meaningful variable names, prefer composition over inheritance, avoid too many tiny modules, and keep interfaces simple. Also, avoid excessive abstractions, tight coupling with frameworks, and overly complex architectures. Lower cognitive load helps you and your team understand code faster, reduce bugs, and be more productive.
https://github.com/zakirullin/cognitive-load
GitHub
GitHub - zakirullin/cognitive-load: 🧠 Cognitive load is what matters
🧠 Cognitive load is what matters. Contribute to zakirullin/cognitive-load development by creating an account on GitHub.
#other #ai #anthropic_claude #awesome #context #mcp #model_context_protocol #servers #tool_use #tools
Model Context Protocol (MCP) is an open standard that lets AI models securely connect to various data sources and tools, like files, databases, APIs, and cloud services, to get real-time, relevant information. This helps AI give more accurate, up-to-date, and context-aware answers, reducing repeated data processing and improving efficiency. MCP also supports automation of complex workflows and integration with many platforms, making AI more powerful and flexible. However, running MCP servers requires careful security measures to avoid risks like unauthorized code execution. Using MCP can save time, reduce costs, and enhance AI capabilities for tasks like chatbots, data analysis, and system control.
https://github.com/appcypher/awesome-mcp-servers
Model Context Protocol (MCP) is an open standard that lets AI models securely connect to various data sources and tools, like files, databases, APIs, and cloud services, to get real-time, relevant information. This helps AI give more accurate, up-to-date, and context-aware answers, reducing repeated data processing and improving efficiency. MCP also supports automation of complex workflows and integration with many platforms, making AI more powerful and flexible. However, running MCP servers requires careful security measures to avoid risks like unauthorized code execution. Using MCP can save time, reduce costs, and enhance AI capabilities for tasks like chatbots, data analysis, and system control.
https://github.com/appcypher/awesome-mcp-servers
GitHub
GitHub - appcypher/awesome-mcp-servers: Awesome MCP Servers - A curated list of Model Context Protocol servers
Awesome MCP Servers - A curated list of Model Context Protocol servers - appcypher/awesome-mcp-servers
#other
You can use a set of markdown files to guide AI coding assistants step-by-step in building software features. This method breaks down your feature idea into a clear Product Requirement Document (PRD), then into detailed tasks, and finally lets the AI work on each task one at a time while you review and approve progress. This structured workflow helps you keep control, avoid errors, and track progress visually, making AI-assisted development more reliable and manageable. It works with many AI tools and improves the quality and clarity of AI-generated code, saving you time and reducing frustration during complex feature development.
https://github.com/snarktank/ai-dev-tasks
You can use a set of markdown files to guide AI coding assistants step-by-step in building software features. This method breaks down your feature idea into a clear Product Requirement Document (PRD), then into detailed tasks, and finally lets the AI work on each task one at a time while you review and approve progress. This structured workflow helps you keep control, avoid errors, and track progress visually, making AI-assisted development more reliable and manageable. It works with many AI tools and improves the quality and clarity of AI-generated code, saving you time and reducing frustration during complex feature development.
https://github.com/snarktank/ai-dev-tasks
GitHub
GitHub - snarktank/ai-dev-tasks: A simple task management system for managing AI dev agents
A simple task management system for managing AI dev agents - snarktank/ai-dev-tasks
#other
This collection of leaked GPT prompts offers a wide range of tools and ideas for interacting with AI models. It includes prompts for tasks like writing, coding, humor, and education, which can help users understand how GPT models work and improve their interactions with AI. By using these prompts, users can create more effective and personalized AI experiences, benefiting from the diverse contributions and insights shared by the community. This resource is valuable for both developers and users looking to enhance their AI interactions.
https://github.com/linexjlin/GPTs
This collection of leaked GPT prompts offers a wide range of tools and ideas for interacting with AI models. It includes prompts for tasks like writing, coding, humor, and education, which can help users understand how GPT models work and improve their interactions with AI. By using these prompts, users can create more effective and personalized AI experiences, benefiting from the diverse contributions and insights shared by the community. This resource is valuable for both developers and users looking to enhance their AI interactions.
https://github.com/linexjlin/GPTs
GitHub
GitHub - linexjlin/GPTs: leaked prompts of GPTs
leaked prompts of GPTs. Contribute to linexjlin/GPTs development by creating an account on GitHub.
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#other #cti #cyberhunter #darkweb #deepweb #threat_intelligence
deepdarkCTI is a free project that collects and shares cyber threat intelligence (CTI) from the deep and dark web, helping you stay aware of hidden cyber threats like stolen data, ransomware, and hacker activities. It gathers information from places like Telegram, Discord, hacker forums, and ransomware sites to provide useful indicators and patterns of cyber attacks. You can join their Telegram group to discuss and suggest new sources or support the project with donations. Using deepdarkCTI helps you detect threats early, improve your cybersecurity decisions, and protect your organization from cyber attacks more effectively.
https://github.com/fastfire/deepdarkCTI
deepdarkCTI is a free project that collects and shares cyber threat intelligence (CTI) from the deep and dark web, helping you stay aware of hidden cyber threats like stolen data, ransomware, and hacker activities. It gathers information from places like Telegram, Discord, hacker forums, and ransomware sites to provide useful indicators and patterns of cyber attacks. You can join their Telegram group to discuss and suggest new sources or support the project with donations. Using deepdarkCTI helps you detect threats early, improve your cybersecurity decisions, and protect your organization from cyber attacks more effectively.
https://github.com/fastfire/deepdarkCTI
GitHub
GitHub - fastfire/deepdarkCTI: Collection of Cyber Threat Intelligence sources from the deep and dark web
Collection of Cyber Threat Intelligence sources from the deep and dark web - fastfire/deepdarkCTI
#other
GitHub Copilot CLI lets you use AI coding help right in your terminal, so you can build, edit, debug, and understand code by just talking to it naturally. It works with your GitHub account to access your repos, issues, and pull requests without leaving the command line. You stay in full control by approving every action before it runs. It supports Linux, macOS, and Windows, and you install it easily with npm. This tool speeds up coding by bringing AI assistance directly where you work, reducing context switching and making development faster and smoother.
https://github.com/github/copilot-cli
GitHub Copilot CLI lets you use AI coding help right in your terminal, so you can build, edit, debug, and understand code by just talking to it naturally. It works with your GitHub account to access your repos, issues, and pull requests without leaving the command line. You stay in full control by approving every action before it runs. It supports Linux, macOS, and Windows, and you install it easily with npm. This tool speeds up coding by bringing AI assistance directly where you work, reducing context switching and making development faster and smoother.
https://github.com/github/copilot-cli
GitHub
GitHub - github/copilot-cli: GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal.
GitHub Copilot CLI brings the power of Copilot coding agent directly to your terminal. - GitHub - github/copilot-cli: GitHub Copilot CLI brings the power of Copilot coding agent directly to your t...
#other
Kimi K2 is a powerful AI language model with 1 trillion parameters, designed to understand very long texts and perform complex tasks like coding, reasoning, and using tools autonomously. It excels at writing and debugging code, solving math and science problems, and managing multi-step workflows by calling external tools or APIs automatically. You can access it via an easy-to-use API or deploy it on popular platforms. This means you get a smart assistant that not only answers questions but also acts to complete tasks, making your work faster and more efficient, especially for coding and research projects.
https://github.com/MoonshotAI/Kimi-K2
Kimi K2 is a powerful AI language model with 1 trillion parameters, designed to understand very long texts and perform complex tasks like coding, reasoning, and using tools autonomously. It excels at writing and debugging code, solving math and science problems, and managing multi-step workflows by calling external tools or APIs automatically. You can access it via an easy-to-use API or deploy it on popular platforms. This means you get a smart assistant that not only answers questions but also acts to complete tasks, making your work faster and more efficient, especially for coding and research projects.
https://github.com/MoonshotAI/Kimi-K2
GitHub
GitHub - MoonshotAI/Kimi-K2: Kimi K2 is the large language model series developed by Moonshot AI team
Kimi K2 is the large language model series developed by Moonshot AI team - MoonshotAI/Kimi-K2
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#other
Email verification without sending emails streamlines how you confirm your email address online. Instead of clicking links or entering codes sent to your inbox, this new protocol lets your browser handle verification directly while you stay on the website. Your email provider verifies you're the rightful owner through existing login credentials, then sends a secure token back to the site. This eliminates delays, reduces frustration from dropped verification attempts, and protects your privacy by preventing email services from tracking which websites you're using. You get faster, smoother verification while maintaining better control over your personal information.[1][2]
https://github.com/WICG/email-verification-protocol
Email verification without sending emails streamlines how you confirm your email address online. Instead of clicking links or entering codes sent to your inbox, this new protocol lets your browser handle verification directly while you stay on the website. Your email provider verifies you're the rightful owner through existing login credentials, then sends a secure token back to the site. This eliminates delays, reduces frustration from dropped verification attempts, and protects your privacy by preventing email services from tracking which websites you're using. You get faster, smoother verification while maintaining better control over your personal information.[1][2]
https://github.com/WICG/email-verification-protocol
GitHub
GitHub - WICG/email-verification-protocol: verified autofill
verified autofill . Contribute to WICG/email-verification-protocol development by creating an account on GitHub.
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#other #awesome #chartjs #charts #integrations #plugins #resources
Chart.js is a flexible JavaScript library for creating interactive charts with extensive customization options. You can use it with popular frameworks like React, Vue, and Angular through dedicated adapters, and extend its functionality with plugins for styling, features, and data handling. The library supports three major versions—v2 (April 2016), v3 (April 2021), and v4 (November 2022)—each with different plugin compatibility. This means you can choose the version that best fits your project needs and find compatible extensions for charts, animations, zooming, data labels, and more. Whether you need basic charts or advanced visualizations with custom interactions, Chart.js provides the tools to build professional data displays efficiently.
https://github.com/chartjs/awesome
Chart.js is a flexible JavaScript library for creating interactive charts with extensive customization options. You can use it with popular frameworks like React, Vue, and Angular through dedicated adapters, and extend its functionality with plugins for styling, features, and data handling. The library supports three major versions—v2 (April 2016), v3 (April 2021), and v4 (November 2022)—each with different plugin compatibility. This means you can choose the version that best fits your project needs and find compatible extensions for charts, animations, zooming, data labels, and more. Whether you need basic charts or advanced visualizations with custom interactions, Chart.js provides the tools to build professional data displays efficiently.
https://github.com/chartjs/awesome
GitHub
GitHub - chartjs/awesome: A curated list of awesome Chart.js resources and libraries
A curated list of awesome Chart.js resources and libraries - chartjs/awesome
#other #ai #ide #kiro #spec
Kiro is an AI-powered IDE for macOS, Windows, and Linux that turns prototypes into production code using specs for detailed plans, agent hooks for automating tests and docs, and chat for natural coding. It imports VS Code setups, connects tools securely, and offers free Claude models now. Download from kiro.dev to build faster, stay organized on big projects, cut errors, save time on boring tasks, and collaborate smoothly with your team.
https://github.com/kirodotdev/Kiro
Kiro is an AI-powered IDE for macOS, Windows, and Linux that turns prototypes into production code using specs for detailed plans, agent hooks for automating tests and docs, and chat for natural coding. It imports VS Code setups, connects tools securely, and offers free Claude models now. Download from kiro.dev to build faster, stay organized on big projects, cut errors, save time on boring tasks, and collaborate smoothly with your team.
https://github.com/kirodotdev/Kiro
GitHub
GitHub - kirodotdev/Kiro: Kiro is an agentic IDE that works alongside you from prototype to production.
Kiro is an agentic IDE that works alongside you from prototype to production. - kirodotdev/Kiro
#other #playwright
Playwright CLI is a simple command-line tool for browser automation that works best with coding agents like Claude or GitHub Copilot. Install it globally with `npm install -g @playwright/cli@latest`, then use commands like `open`, `type`, `click`, `screenshot` to control browsers efficiently without loading heavy page data. It saves tokens for faster AI tasks on large codebases. You benefit by automating web tests, taking screenshots, and managing sessions quickly, making your coding and testing workflows smoother and more reliable.
https://github.com/microsoft/playwright-cli
Playwright CLI is a simple command-line tool for browser automation that works best with coding agents like Claude or GitHub Copilot. Install it globally with `npm install -g @playwright/cli@latest`, then use commands like `open`, `type`, `click`, `screenshot` to control browsers efficiently without loading heavy page data. It saves tokens for faster AI tasks on large codebases. You benefit by automating web tests, taking screenshots, and managing sessions quickly, making your coding and testing workflows smoother and more reliable.
https://github.com/microsoft/playwright-cli
GitHub
GitHub - microsoft/playwright-cli: CLI for common Playwright actions. Record and generate Playwright code, inspect selectors and…
CLI for common Playwright actions. Record and generate Playwright code, inspect selectors and take screenshots. - microsoft/playwright-cli
#other #apple #awesome #awesome_list #awesome_lists #list #mac #macos
This curated list offers awesome macOS apps for audio, backups, developers, productivity, graphics, and more, including many free and open-source tools like BackgroundMusic, Rectangle, and iTerm2. It helps you discover reliable software to boost efficiency, manage windows, edit images, automate tasks, and set up your Mac quickly. You'll save time finding quality apps, customize your workflow, and enhance performance without trial-and-error.
https://github.com/iCHAIT/awesome-macOS
This curated list offers awesome macOS apps for audio, backups, developers, productivity, graphics, and more, including many free and open-source tools like BackgroundMusic, Rectangle, and iTerm2. It helps you discover reliable software to boost efficiency, manage windows, edit images, automate tasks, and set up your Mac quickly. You'll save time finding quality apps, customize your workflow, and enhance performance without trial-and-error.
https://github.com/iCHAIT/awesome-macOS
GitHub
GitHub - iCHAIT/awesome-macOS: A curated list of awesome applications, softwares, tools and shiny things for macOS.
A curated list of awesome applications, softwares, tools and shiny things for macOS. - iCHAIT/awesome-macOS