Author name: Reskilll Team

Not all GitHub contributions are equal on a resume. Here’s what hiring managers actually look for, which projects matter, and how to showcase your contributions for maximum impact.

AI-generated PRs increased 5.9%, but 9 out of 10 AI PRs get rejected. The open source world is splitting between AI-enhanced contributors and AI spam. Here’s how to be on the right side.

Never contributed to open source? This step-by-step guide takes you from zero to your first merged pull request. Find good first issues, understand the workflow, and build your GitHub profile.

The best open source repositories for your first contribution in 2026. Active projects with welcoming communities, clear docs, and beginner-friendly issues.

Understand the MCP protocol at the architectural level. Hosts, clients, servers, transports, capabilities negotiation, and message flow – explained for developers who want to build, not just use.

Local MCP servers are great for development. Remote MCP servers are how you share tools with your team, deploy to production, and let multiple AI clients access the same capabilities.

Combine MCP’s universal tool layer with LangChain’s agent framework. Build autonomous agents that discover and use tools dynamically. Code examples in Python.

MCP gives AI access to your databases, files, and APIs. That’s powerful but dangerous. Here’s how to implement MCP securely – permissions, scoping, audit trails, and what NOT to do.

MCP-powered projects are winning hackathons because they’re practical and immediately useful. Here are 5 proven ideas with architecture, tech stack, and implementation tips.

Confused between MCP, OpenAI function calling, and traditional APIs? Here’s when each approach makes sense, their tradeoffs, and why MCP is becoming the default for AI-tool integration.