Skills and MCP look similar from a distance because both make AI agents more capable. But they solve different engineering problems.Continue reading on Medium »
Why agent engineering should start with maintainable Python boundariesContinue reading on Medium »
Why the best developers in 2026 don’t type conversations, they delegate tasks.Continue reading on Towards AI »
The dominant architecture for multi-agent AI systems in 2026 is centralised coordination. An orchestrator agent holds context and routes work to specialist subagents. The orchestrator is the hub; subagents are spokes. Communication flows through the ap…
Continue reading on Towards AI »
For years, my world was the internals of deep learning world spanning across attention mechanisms, transformer architectures, loss functions, gradient flow, etc. My hands were always in data pipelines, model training loops, and benchmark evaluations. T…
A production-grade, end-to-end reference covering installation, CLAUDE.md, Hooks, GitHub Actions, MCP, Sub-Agents, FastMCP, and everything in between.Off late I was digging deep into something that I honestly couldn’t stop thinking about — how to use C…
How to scale an MCP gateway with your API estate — not your engineering team.Continue reading on Medium »
Take a seat, my friend. Is that coffee still warm? Perfect. Today I want to tell you about something that’s going to fix the biggest…Continue reading on Medium »
Abhigyan Patwari’s GitNexus has quietly crossed 19,000 GitHub stars by solving a problem every AI-assisted developer has hit but rarely named — agents that edit code they don’t actually understand.
The post Meet GitNexus: An Open-Source MCP-Native Knowledge Graph Engine That Gives Claude Code and Cursor Full Codebase Structural Awareness appeared first on MarkTechPost.