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Microservices common architecture patterns.
- API Gateway
A single entry point that routes client requests to the right service.
- Service Discovery
Helps services find each other dynamically as instances scale up or down.
- CQRS
Separates writes from reads so each side can be optimized independently.
- Backend for Frontend
Creates separate backend layers for mobile, web, or other clients.
- Event-Driven Flow
Services publish and consume events through a broker instead of calling everything directly.
- Database per Service
Each service owns its data and avoids tight coupling with other services.
Open-source and free apps for coders and makers
https://t.co/dL3kIkhYzy - CSS Text effects with AI prompts
https://t.co/evHtFAvyq5 - Open-source self-hosted dashboard for Amazon SES
https://t.co/hOLbZNyS70 - Free directory of public APIs
https://t.co/A5doCfRCsR - Open-source security framework
https://t.co/yxqgiIYGGn - UI library for building terminal user interfaces
Open-source and free apps for coders
https://t.co/i1wdANWnB6 - Open-source agentic development in one window
https://t.co/JUXRZQseiD - Free domain rating tracker
https://t.co/99K1gYrSBO - Open source framework for building AI agents
https://t.co/Bi5jpyZpfT - 158 design experiments
https://t.co/5VJKnlSeKj - Free design inspiration
Must-know open-source or free tools for coders
https://t.co/4sU9pJRoC1 - Open-source uptime monitoring and status pages
https://t.co/yRlLTjzfWO - Open-source Jira, Linear, Monday, and ClickUp alternative.
https://t.co/QfIg7QXA2P - Deploy apps without managing infrastructure
https://t.co/z3aDzD2Jaf - Animated react componets
https://t.co/4eRefHCx8o - a collection of design-engineering skills for AI agents
Open source library of motion effects - Kinetics now has 99 animations.
- CSS + React version
- Prompt version for your AI coding agent
https://t.co/gmkIc4z4mn
Must-know apps for software and web developers
https://t.co/3sblirsLMn - Open-source desktop app for ChatGPT, Claude, Gemini
https://t.co/qecic2b9ph - Code editor for AI agents
https://t.co/QfIg7QXA2P - Ship to production without managing infrastructure
https://t.co/jSKK0C4Xec - Open source Loom alternative
https://t.co/IuJEGMRjax - AI builds and inspiration
Two fresh free projects you should know about:
https://t.co/Ps29Udtm5J - trace domain rank for any domain for free
https://t.co/wRJ5eYEN0a - Free SSL Certificate Checker
Free sites for developers and creators.
https://t.co/LPObtHwIqi - Open source productivity system
https://t.co/H4xibt1JiY - Video components for React
https://t.co/oMpF7AHuok - Free webhosting for agents
https://t.co/hxkVer4LwB - Search for open-source Shadcn components
https://t.co/wtkJbwBiMA - curate motion designs
A practical DevOps roadmap:
1. Learn a scripting or programming language such as Python, Go, Bash, or JavaScript.
2. Understand operating systems basics, including Linux, Unix, server management, processes, and permissions.
3. Learn networking and security concepts, including DNS, TCP/IP, SSH, HTTPS, firewalls, and encryption.
4. Get comfortable with version control systems like Git, and platforms such as GitHub and GitLab, including branching, pull requests, and release workflows.
5. Study Infrastructure as Code tools like Terraform, Pulumi, Docker, Kubernetes, and Ansible.
6. Add monitoring and logging with Prometheus, Grafana, Loki, and Elasticsearch.
7. Build CI/CD pipelines using GitHub Actions, Jenkins, GitLab CI, or CircleCI.
8. Understand cloud platforms such as AWS, Azure, Google Cloud, and DigitalOcean.
APIs and MCP both connect systems, but they solve different problems.
Traditional API flow:
App โ HTTP request โ API gateway โ service โ database/tool
It works well when your application knows exactly which endpoint to call and what response to expect.
MCP works differently.
MCP gives AI apps a standard way to connect with:
- tools
- databases
- files
- APIs
- external resources
Instead of building custom integrations for each AI assistant, MCP serves as a shared protocol layer between the model and the tools it needs.
Simple way to think about it:
API = app talks to a service
MCP = AI agent talks to many tools through a standard interface
APIs are still the foundation.
MCP is the layer that makes those tools easier for AI systems to use.
Amazing apps for coders and creators
https://t.co/CirdGbynxH - Your Personal AI Intelligence.
https://t.co/o3NutGL6GF - Speech to text for Mac
https://t.co/zOqiGZoVdO - Localhost on your iPhone, synced.
https://t.co/THLWmnJhT1 - Desktop client that hosts xAI's Grok Build CLI
https://t.co/SPWAVnGxvF - Your clipboard, wherever you need it