#rust

Monty is a minimal, secure Python interpreter in Rust that safely runs AI-generated code in your agents. It starts in under 1 microsecond, blocks host access to files, network, and env vars (only via your controlled functions), and supports type checking, resource limits, and snapshotting to pause/resume execution. This lets you skip slow, complex containers, making AI agents run faster, cheaper, and more reliably without security risks.

https://github.com/pydantic/monty

#go #actions #cai #ci #claude_code #codex #copilot #gh_extension #github_actions

GitHub Agentic Workflows let you write simple markdown instructions in natural language to automate repo tasks like triaging issues, fixing CI failures, generating reports, and improving code—running safely as GitHub Actions with AI like Copilot or Claude. Strong guardrails ensure read-only access by default, sandboxed execution, and human-reviewed outputs via pull requests. This saves you time on repetitive work, boosts efficiency with adaptive AI decisions, and keeps everything secure without complex YAML coding.

https://github.com/github/gh-aw

#python #ai #claude #gemini #llama #llm #openai

You can access powerful AI language models for free or with trial credits through multiple legitimate platforms. Services like OpenRouter, Google AI Studio, Groq, and Mistral offer free tiers with varying request limits, while others like Fireworks, Baseten, and Inference.net provide trial credits ranging from $1 to $30. These platforms support diverse models including Llama, Gemma, Qwen, and DeepSeek, enabling you to build and test AI applications without upfront costs. The benefit is clear: you can prototype, develop, and deploy AI-powered features while managing your budget effectively, with options to scale up as your needs grow.

https://github.com/cheahjs/free-llm-api-resources

#mdx

This free interactive course teaches Product Managers to use Claude Code for daily tasks like processing notes, writing PRDs, analyzing data, and strategy planning through hands-on modules (4-6 hours). Clone the repo, run `claude`, and follow guided lessons with agents and file tools—no setup needed yet. You'll work faster, get instant multi-perspective feedback, and boost productivity without quality loss.

https://github.com/carlvellotti/claude-code-pm-course

#python #ai_agents #claude #claude_code #claude_marketplace #claude_skills

Claude Skills offers 66 specialized skills and 9 workflows built for full-stack developers, covering languages, frameworks, DevOps, security, and more. Install easily with `/plugin marketplace add jeffallan/claude-skills` then `/plugin install fullstack-dev-skills@jeffallan`. Skills activate automatically for tasks like JWT auth in NestJS or React components, using context engineering and multi-skill combos for complex projects. This boosts your coding speed, ensures best practices, cuts errors, and streamlines full development—from features to deployment—saving hours daily.

https://github.com/Jeffallan/claude-skills

#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

#typescript #cinny #cinnyapp #client #hacktoberfest #matrix #matrix_client #matrix_org #reactjs

Cinny is a simple, elegant, and secure Matrix messaging client with end-to-end encryption and open-source code. Use the web app at app.cinny.in, download the desktop version, or self-host easily via GitHub releases, Docker, or your webserver for full control. This lets you chat privately and modernly without relying on big tech apps, giving you privacy, customization, and easy setup on your own server for secure, ad-free messaging.

https://github.com/cinnyapp/cinny

#typescript #ai #augmentation #humans #productivity

PAI is open-source Personal AI Infrastructure that builds on tools like Claude Code to create your custom AI assistant. It learns your goals, preferences, and history from files like MISSION.md and GOALS.md, uses modular packs for skills like research or security, and improves via feedback in an Observe-Think-Plan-Execute-Learn loop. Install easily with git clone and a wizard for a full system in minutes. This magnifies your abilities, activates your potential, saves time on repetitive tasks, and makes elite AI accessible to everyone—not just experts—helping you achieve more with less effort.

https://github.com/danielmiessler/Personal_AI_Infrastructure

#swift #analysis #analytics #cocoapods #crashlytics #debug #debugger #debugging #hacktoberfest #layout_debugger #leak_detection #log #logs_analysis #networking #performance_analysis #sandbox #swift #swift6 #ui #uikit #view

DebugSwift is a comprehensive toolkit that simplifies debugging for Swift iOS apps by providing real-time monitoring of network requests, performance metrics (CPU, memory, FPS), crash reports, and app resources like keychain and user defaults. It includes interface tools for visualizing layouts with grid overlays and touch indicators, plus memory leak detection and console logging. The main benefit is that you can quickly identify and fix issues during development without leaving your app—just shake your device to toggle the debug panel, making troubleshooting faster and more efficient.

https://github.com/DebugSwift/DebugSwift

#python

Slime is a high-performance framework for post-training large language models with reinforcement learning (RL). It connects Megatron for fast training and SGLang for data generation, powering top models like GLM-4.7, Qwen3, DeepSeek V3, and Llama 3. You get efficient, flexible RL workflows with customizable data tools, cutting training time and boosting model accuracy for research or production—saving resources while achieving breakthrough results in physics, agents, and code generation.

https://github.com/THUDM/slime

#tex

Google DeepMind's Superhuman Reasoning team shares projects like AlphaGeometry (solves geometry proofs), AlphaGeometry2 (IMO silver medal), IMO Bench (math benchmarks with 400+ problems for AI testing after 2025 gold win), and Aletheia (AI agent that verifies and improves math solutions). All under open Apache 2.0 and CC-BY licenses. This helps you access free tools, datasets, and code to boost your AI math research, build better models, or learn advanced reasoning fast.

https://github.com/google-deepmind/superhuman

#javascript #agents #ai #ai_agents #automation #claude #cli #development #framework #fullstack #nodejs #orchestration #typescript

Synkra AIOS is an AI-powered development framework that automates software creation through specialized agents working together in coordinated teams. It uses a two-phase approach: planning agents (analyst, PM, architect) create detailed project specifications, then development agents (Scrum Master, developer, QA) execute those plans with full context preserved throughout. The framework prioritizes CLI-first operations with observability and UI as secondary layers, eliminating common problems like planning inconsistency and context loss in AI-assisted development. You benefit from faster, more coherent project delivery with autonomous agents handling planning, coding, and quality assurance while maintaining architectural consistency and reducing manual coordination overhead.

https://github.com/SynkraAI/aios-core