AI Native Medhavi Blog
Practical essays for developers learning coding agents, context engineering, MCP, agent skills, code review, editor workflows, and the operating habits that make AI-assisted software reliable.
AI-native engineering essays
The blog focuses on the craft behind dependable AI-assisted software: context design, agent skills, MCP integrations, repository conventions, prompt patterns, and review practices that help teams keep control as coding agents become part of everyday delivery.
Built for developers
Each article is written for engineers evaluating tools, setting team workflows, or turning experiments into repeatable systems. Expect practical comparisons, architecture notes, examples from modern AI coding environments, and field-tested guidance for building with models, agents, plugins, and automation.
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The latest essays and deep dives from AI Native Medhavi.
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I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. There's a new programmable layer of abstraction to master involving agents, subagents, prompts, contexts, memory, permissions, tools, plugins, skills, MCP, workflows, IDE integrations, and a need to build a new mental model for fundamentally stochastic systems.
Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it.
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