Search Results for "patterns"
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Showing 23 open source projects for "patterns"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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n8n-skills
n8n skillset for Claude Code to build flawless n8n workflows
n8n-skills is a Claude Code skill pack for building production-ready n8n workflows with the n8n-mcp MCP server. It gives AI assistants specialized guidance for n8n expression syntax, node configuration, workflow patterns, validation, error handling, binary data, sub-workflows, AI agents, Code nodes, and self-hosting. The project includes fourteen complementary skills plus a router and hook-based enforcement layer that surfaces the right guidance during workflow creation. It is designed to prevent common automation mistakes such as invalid expressions, broken node parameters, weak error handling, inefficient MCP usage, and validation loops. ... -
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Sec-Context
AI Code Security Anti-Patterns distilled from 150+ sources
...Each anti-pattern is paired with a secure coding alternative and explanation, offering educational value for both humans and automated review agents designed to flag or correct unsafe patterns. -
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Loop Engineering
Practical patterns, starters & CLI tools for loop engineering with AI
...It explains core building blocks such as scheduling, worktrees, skills, plugins, connectors, sub-agents, and persistent memory or state. The repository includes production loop patterns, quickstarts, starters, checklists, safety notes, and real-world stories. It also provides CLI tools such as loop-audit, loop-init, and loop-cost to scaffold, evaluate, and estimate agent loop workflows. -
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Sourcery AI Code Review
Instant AI code reviews
Sourcery is an AI-powered code assistant designed to help developers write cleaner, more maintainable Python code by suggesting real-time refactorings, improvements, and best-practice rewrites directly in popular editors and IDEs. Instead of just offering autocomplete, Sourcery analyzes existing functions and code patterns to provide context-aware suggestions that can simplify logic, reduce duplication, improve naming, and correct anti-patterns, helping developers adhere to idiomatic style without manual review. It integrates directly into development workflows through plugins for editors like VS Code, JetBrains IDEs, and command-line tools, so suggestions appear where developers already write code. ... -
Build Securely on Azure with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
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HolyClaude
AI coding workstation: Claude Code + web UI + 5 AI CLIs + headless
...The project centers around improving how developers interact with AI agents, enabling more efficient code generation, debugging, and task execution through optimized prompt engineering. It includes predefined templates and interaction patterns that guide the AI toward producing more accurate and context-aware responses. HolyClaude emphasizes productivity by reducing friction in iterative development cycles, allowing users to refine outputs quickly without repeatedly crafting instructions from scratch. The toolkit is modular in nature, enabling developers to adapt it to different coding scenarios or integrate it into their existing workflows. ... -
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MCP Agent Mail
Asynchronous coordination layer for AI coding agents
...Agents can send decisions, status updates, images, and attachments without relying on a human to relay context between parallel sessions. Advisory file reservations let an agent declare intended edits to files or patterns, reducing accidental overlap without enforcing rigid locks. Git stores human-auditable communication artifacts, while SQLite supports indexing, search, and operational queries. The HTTP-only FastMCP server works with clients such as Claude Code, Codex, Gemini CLI, and other MCP-compatible tools. Additional capabilities include acknowledgments, project directories, product-wide communication, build slots, deployment helpers, and integration with dependency-aware task tracking. -
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Claude Code Hooks Mastery
Master Claude Code Hooks
...Although the project itself doesn’t include a single coherent application, it functions as a curated collection of advanced hook examples, best practices, and coding patterns that show how to tailor Claude Code to specific use cases such as automated CI workflows, custom command triggers, and integrations with external tools. The repository is part of a larger ecosystem of Claude Code tooling that enables natural-language-driven coding tasks, and the hooks contained here help users go beyond default behaviors to solve real problems efficiently. -
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Graphify
AI coding assistant skill (Claude Code, Codex, OpenCode, OpenClaw)
...It is particularly useful in domains such as network analysis, knowledge graphs, and system architecture visualization. The architecture emphasizes flexibility, enabling users to customize how data is mapped and displayed. It may also include analytical features to explore patterns, clusters, or anomalies within the graph. Overall, Graphify serves as a bridge between raw data and visual insight. -
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Learn Claude Code
Bash is all you need, write a claude code with only 16 line code
...It emphasizes a hands-on learning path where each version (from v0 to v4) adds conceptual building blocks like the core agent loop, todo planning, task decomposition, and domain knowledge skills, illuminating the patterns behind what makes a true AI agent tick. The goal is to demystify agent architectures like Claude Code by having learners build simplified versions themselves and observe how tools, memory management, planning constraints, and context isolation contribute to reliable agent behavior. Along the way, the project teaches fundamentals such as how to let models call external tools, maintain clean memory for long tasks, and inject domain expertise without retraining the model. -
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Modern Go Guidelines
Help AI coding agents write modern Go
Modern Go Guidelines is a JetBrains project that helps AI coding agents generate current, idiomatic Go instead of relying on outdated patterns. It provides explicit guidance covering useful language and standard-library features from Go 1.0 through Go 1.27. The skill detects a project's Go version from go.mod before deciding which features are appropriate. It encourages modern alternatives such as newer built-ins, slices utilities, comparison helpers, and improved error handling. ... -
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Context Mode
Context window optimization for AI coding agents
...It is particularly useful for large codebases, where naive context inclusion can lead to inefficiency or irrelevant outputs. The system encourages modular and selective context injection, improving both performance and cost efficiency. It also aligns with emerging patterns in AI-assisted development, where context orchestration becomes a critical component of productivity. Overall, context-mode represents a shift toward more intentional and structured interaction between developers and AI systems. -
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Kodus
AI code reviews, just like your senior dev would do
...It provides a structured set of tools and abstractions that help teams design agent behaviors, orchestrate data pipelines, optimize inference, and integrate AI capabilities with applications or services. The platform often includes model management, scalable training workflows, and orchestration patterns that help teams move from research or prototypes to production-ready AI deployments. Through configurable pipelines and a focus on modularity, it supports experimentation while maintaining reproducibility and performance. Its tooling is typically designed to handle real-world imperatives like logging, monitoring, versioning, and hooking into operational infrastructure. -
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Oh My codeX (OMX)
Your codex is not alone. Add hooks, agent teams, HUDs
...It addresses limitations in the base Codex environment, such as the lack of hooks, agent coordination, and persistent execution, by layering a shell-based system that enables richer interaction patterns. The project transforms a single AI coding assistant into a coordinated system of specialized agents that can collaborate in parallel, improving both speed and reliability of development tasks. It leverages tools like tmux to manage multiple agent sessions simultaneously, enabling a “team mode” where different agents handle distinct responsibilities within a shared workflow. ... -
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MiniMax Skills
Development skills for AI coding agents
MiniMax skills is a modular system designed to provide structured development capabilities for AI coding agents, enabling them to perform complex engineering tasks with guided workflows and domain-specific knowledge. It defines a set of reusable “skills” that encapsulate best practices, architectural patterns, and step-by-step processes for building applications across multiple platforms. These skills can be integrated into AI tools to improve the quality and consistency of generated code, particularly in areas such as frontend development, backend systems, mobile applications, and multimedia processing. The system supports a wide range of technologies and workflows, allowing developers to leverage AI assistance for both simple tasks and large-scale projects. ... -
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agentic-stack
One brain, many harnesses. Portable .agent/ folder
...The project emphasizes modularity, enabling developers to assemble custom pipelines using various AI models, tools, and APIs. It may include abstractions for memory, planning, and tool usage, reflecting modern agentic AI design patterns. The stack is intended to accelerate development by providing reusable building blocks for complex AI systems. Overall, it represents an infrastructure layer for creating autonomous or semi-autonomous AI applications. -
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Composer API
OpenAI-compatible API proxy for Cursor Composer
...The project acts as a translation layer, letting compatible clients send requests in an OpenAI-like format while routing them toward the Composer backend behavior. This makes it useful for experimentation, automation, or tool integrations that already understand OpenAI-style chat completion patterns. Its scope appears focused and lightweight rather than being a broad AI gateway or multi-provider orchestration platform. Composer API is best suited for technical users who understand Cursor-related workflows and want a programmable bridge into that environment. -
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ByteRover CLI
The portable memory layer for autonomous coding agents
...It gives developers a way to store, organize, and reuse project knowledge across coding tools and sessions. The project centers on a context tree that can capture important information about a codebase, decisions, patterns, and instructions. It can run as an interactive command-line experience and connect to an LLM of the user’s choice. ByteRover is useful when agents need persistent context instead of starting from scratch every time they enter a project. Its main value is making agent memory more structured, shareable, and practical across teams, tools, and long-running development workflows. -
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Habit Tracker
Habit Tracker for the AI Coding Workshop
...The app provides streak tracking and completion rates for each habit, giving users feedback on consistency and motivation by showing how often habits are completed and where they may be lagging. A calendar view lets users see a monthly grid of their habit history with color-coded days to highlight patterns and encourage daily engagement. Habit-Tracker also supports planned absences so users can skip days without breaking their streaks, reducing frustration and keeping long-term habits on track. -
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Compound Engineering
Official Compound Engineering plugin for Claude Code, Codex, Cursor
...The plugin integrates with multiple AI coding environments, including Claude Code and other tools, enabling consistent workflows across platforms. It also supports automated code review and ideation processes, leveraging multiple agents to enhance quality and decision-making. By codifying patterns and learnings, it creates a feedback loop that improves productivity over time. -
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AutoCoder
A long-running autonomous coding agent powered by the Claude Agent
Autocoder is an experimental auto-generation engine that transforms high-level prompts or structured descriptions into functioning source code, models, or systems with minimal manual intervention. Rather than hand-writing boilerplate or repetitive patterns, users supply a specification—such as a description of a feature, a function prototype, or a module outline—and Autocoder fills in complete implementations that compile and run. It is built to support iterative refinement: after generating an initial draft, you can provide feedback or corrections, and the system will adjust the output to match evolving intentions. ... -
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Context Engineering Template
Context engineering is the new vibe coding
...The repository provides templates such as CLAUDE.md for defining global project rules, INITIAL.md for feature requests, and folders for examples, PRPs, validation scripts, and settings to support systematic prompt generation and execution with tools like Claude Code. By using this template, teams can ensure consistency across AI outputs, reduce errors that stem from contextual misunderstandings, and build reusable patterns. -
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GitHub Copilot for Xcode
AI coding assistant for Xcode
...It embeds seamlessly into the Xcode editor UI, offering completions as you type, including full lines or blocks of code derived from surrounding context and doc comments. Because the integration understands the structure of Xcode-based projects and Apple’s frameworks, suggestions are often tailored to platform idioms, APIs, and patterns used in Cocoa, UIKit, SwiftUI, and more. It also supports natural language prompts, letting developers ask for example code or explanations inline without leaving the IDE. The extension is designed to respect privacy and project scope, giving users control over when Copilot suggestions are enabled and how telemetry is shared. -
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1loc
What's your favorite JavaScript single LOC (line of code)?
...Examples are stored as individual Markdown files, making the repository easy to browse and extend. Contributors can add their own favorite one-liners through pull requests. The project favors concise native JavaScript patterns rather than a packaged runtime library.
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