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Why I Built Mikk

Most AI coding tools can write a lot of code quickly.

But writing fast without architectural awareness is not engineering.

That gap is exactly why I built Mikk.

I wanted a system that tells you what will break before a single edit lands.

Mikk sits between the AI and the codebase as a deterministic context engine.

I built it as a proud builder who values execution quality, not just output volume.

I am a context engineer at heart: clear prompts, explicit constraints, strict do-and-do-not instructions, and safety rails that hold under pressure.

The real problem Mikk solves

If an agent touches a core file like login.ts without dependency awareness, you get hidden failures later:

• Broken call chains
• Violated architecture boundaries
• Stale context decisions
• Expensive cleanup after merge

Mikk prevents that by making context first-class.

What Mikk does before any edit

• mikk_before_edit: shows blast radius, constraints, and risk
• mikk_impact_analysis: traces upstream callers and downstream dependencies
• mikk_find_usages: finds exact call sites and import usage across the project

It runs as a live MCP server so the AI stays synced with current architecture instead of operating on stale assumptions.

Why it feels fast in real workflows

Mikk precomputes architecture from AST + dependency graph + Merkle-tree hashes.

So most tool calls respond in milliseconds without reparsing the whole project every time.

Product choices that match my taste

• Intent pre-flight: validate change plans before coding starts
• Semantic search: find functions by meaning, not only name
• Dead-code detection: detect no-caller functions reliably
• Architecture contracts: define module boundaries in mikk.json and enforce in CI
• Live watcher: keep context synced while coding
• Context packs: generate claude.md and AGENTS.md automatically

The goal is simple: move from random AI edits to disciplined AI engineering.

Built fast, built right

I moved from idea to a top-quality shipped product in months with no prior deep background in this exact problem space.

That is how I build: learn fast, architect clearly, ship with confidence.

I am proud of Mikk because it is not a hype demo. It is a real tool solving a real pain for developers shipping serious systems.

Stack and ecosystem

Works with Claude, Cursor, and VS Code Copilot.

Current language support focus: TypeScript, JavaScript, and Go.

Website: Mikk

Docs: Documentation

If you care about quality, speed, and control in AI-assisted development, Mikk is built for your workflow.