mansio

@ManSio

Mikhail

Painter by trade, AI architecture researcher by practice.
Belarus mansio.github.io Joined August 2026
248 Points6 Badges2 Connections2 Followers5 Following

About

Officially working as a painter, building practical software tools in my free time. I focus on logic and execution mechanics—developing tools like MSCodeBase to keep AI models grounded in real data rather than statistical guesswork.

Language & Tools

Python, Zed IDE, Git, Termux, AST parsing (tree-sitter), Vector Search (LanceDB).

Currently Exploring

Running local LLMs on mobile hardware, zero-dependency decision primitives, and deterministic verification bounds.

Achievements

Built MSCodeBase, an open-source MCP server designed to ground AI agents in real code context.

Conducted an empirical study benchmarking 14 LLMs across 3,300+ API calls to evaluate model memory and hallucination boundaries.

Contributed evaluation controls to open-source developer tooling on GitHub.

Fun Fact

Painting walls by day, building deterministic control harnesses for AI agents by night.

Random Dev Quote

Without hard verification boundaries, an AI agent's persistent memory just turns an honest unknown state into a structural guess.

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Joined: 6 hours (since Aug 30)
Full Name: Mikhail
Headline: Painter by trade, AI architecture researcher by practice.
About: Officially working as a painter, building practical software tools in my free time. I focus on logic and execution mechanics—developing tools like MSCodeBase to keep AI models grounded in real data rather than statistical guesswork.
Location: Belarus
Website: https://mansio.github.io/
Languges & Tools: Python, Zed IDE, Git, Termux, AST parsing (tree-sitter), Vector Search (LanceDB).
Currently Exploring: Running local LLMs on mobile hardware, zero-dependency decision primitives, and deterministic verification bounds.
Achievements: Built MSCodeBase, an open-source MCP server designed to ground AI agents in real code context.

Conducted an empirical study benchmarking 14 LLMs across 3,300+ API calls to evaluate model memory and hallucination boundaries.

Contributed evaluation controls to open-source developer tooling on GitHub.
Fun Fact: Painting walls by day, building deterministic control harnesses for AI agents by night.
Random Dev Quote: Without hard verification boundaries, an AI agent's persistent memory just turns an honest unknown state into a structural guess.
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