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@veemwega

Virginia Mwega

@veemwega·Nairobi,Kenya·Joined May 2026

Full-stack & AI engineer · multi-agent systems

About

Full-stack & AI engineer. I write about multi-agent systems, LLM reliability, and what actually breaks when a model call meets production.

Available for

Open to Founding Engineer & Product Engineer roles at early-stage AI startups. Also taking on freelance technical writing & documentation contracts.

Virginia Mwega's blogs

Virginia Mwegavirginiamwegahashnodedev.hashnode.dev16 posts

About

Full-stack & AI engineer. I write about multi-agent systems, LLM reliability, and what actually breaks when a model call meets production.

Available for

Open to Founding Engineer & Product Engineer roles at early-stage AI startups. Also taking on freelance technical writing & documentation contracts.

Virginia Mwega's blogs

Virginia Mwegavirginiamwegahashnodedev.hashnode.dev16 posts

Articles Comments

Recently published

VMVirginia Mwegainvirginiamwegahashnodedev.hashnode.dev·Jul 8 · 5 min read

ktx Docs Review: Excellent for AI Agents, One Onboarding Gap

A few days ago I announced a personal challenge: reviewing AI startup documentation in public — one thing done well, one place onboarding could be smoother, one rewritten example. This is review #1. T

VMVirginia Mwegainvirginiamwegahashnodedev.hashnode.dev·Jul 6 · 5 min read

Streaming Agent Responses over SSE in Next.js

One of the biggest UX improvements you can make to an AI application isn't choosing a faster model—it's streaming the response. Think about using ChatGPT. You type a prompt, press Send, and almost imm

VMVirginia Mwegainvirginiamwegahashnodedev.hashnode.dev·Jul 1 · 8 min read

The Documentation System Every Startup Should Have

Key Takeaways Most documentation advice is written by people whose job is only documentation. This isn't that. This is the system I run as a solo founder shipping production AI, where docs that rot d

VMVirginia Mwegainvirginiamwegahashnodedev.hashnode.dev·Jul 1 · 7 min read

Evaluating Agents With an LLM-as-Judge Harness (Without Kidding Yourself About It)

Key Takeaways You can't unit-test a coach agent the way you test a pure function — the output is non-deterministic and "good" is a judgment call, not an assertion. An LLM-as-judge harness lets you g

VMVirginia Mwegainvirginiamwegahashnodedev.hashnode.dev·Jun 29 · 9 min read

Writing API docs an AI agent can actually consume

I found the gap the embarrassing way: one of my own agents couldn't call one of my own APIs. FamNest runs a small agent graph — a router hands a parent's message to a retriever, the retriever grounds