2 posts tagged with "mcp"

Finding a developer by name is easy. Finding the right developer for a problem is much harder.

A GitHub profile can show repositories. Stack Overflow can show answers. A professional network can show job titles. But none of those views, on their own, answer questions such as:

• Who has recent evidence of working with a specific technology?
• Which developers match the needs of an open-source repository?
• Who is active in a particular region or community?
• Can an AI agent discover a relevant expert without exposing private contact details?

Those questions led me to build DevGlobe, an open-source talent graph for humans and AI agents. What started as an interactive 3D map became a search, data, and consent problem—and Azure Cosmos DB became the foundation that connected those pieces.

Explore DevGlobe and discover developers, contribution opportunities, live coding activity, and agent-ready tools →

The final weekend of September took me to two cities, two developer communities, and two stages with a shared question:

What does it take to move AI agents from impressive demos to experiences developers can trust every day?

On September 26, I spoke at MCP Community Connect in Bengaluru about designing MCP tools around trust and consent. The next day, I joined the Global AI Conference in Chennai to share how we can build an agent-first experience for Azure Cosmos DB.

The talks approached the question from different directions, but they arrived at the same conclusion: an agent is only as useful as the context, boundaries, and developer experience we build around it.