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Ibrahim Muhammad

AI engineer and founder building continually learning systems. Writing about data flywheels, human-in-the-loop design, and agentic AI.

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Latest posts

Turning Agent Feedback Into Persistent Context

Making agents more effective isn't about chasing the latest model. It's about systematizing the feedback you're already giving and turning session learnings into persistent context.

The Agent is the Runtime

A new computing paradigm is emerging where the agent is the runtime, natural language is the interface, and skills are starting to look a lot like apps.

Trends shaping technology in 2026

Where software value moves when agents eat the rest.

How to Monitor Your LLM Conversations

Without evals, you're mostly guessing whether your AI product is working. Here's how to build a monitoring system that actually tells you.

MCP Changed How We Think About Integrations

Early pain points, rapid progress, and why CLI tools don't make MCP obsolete.