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With AI, Everyone is a Dev. EveryDev.ai © 2026
    1. Home
    2. Developers
    3. Oleksandr Chekhovskyi

    Oleksandr Chekhovskyi

    To provide a minimalist, terminal-native coding agent that follows Unix philosophy and runs efficiently with local LLMs.

    Visit Website

    At a Glance

    1Tool Listed
    1Product
    6Capabilities
    Discussions
    Kyiv, UkraineHeadquarters
    2026Est.
    1Employee
    Focus Areas
    AI Coding Assistants
    Command Line Assistants
    Local Inference
    Connect
    Markets
    • Developers
    • DevOps Engineers
    • Unix enthusiasts
    • Local AI researchers

    AI Tools by Oleksandr Chekhovskyi

    (1)
    View hax
    hax tool icon

    hax

    Lightweight Terminal Coding Agent

    AI Coding Asst.CLI AssistantsLocal Inference

    Discussions

    No discussions yet

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    Products & Services

    1
    hax
    Early 2026

    A minimalist, terminal-native coding agent written in C. Designed for developers who use local LLMs and prefer Unix-style composition. Features include a single native C binary, low memory footprint, and native terminal scrollback preservation.

    Market Position

    Positions itself as a minimalist alternative to complex AI agents; avoids MCP, plugin runtimes, and bloated UI in favor of C-based performance and Unix philosophy.

    Leadership

    Founders

    OC

    Oleksandr Chekhovskyi

    Product Lead Software Engineer at Favro. Contributor to Node.js and V8 (V8 CPU profiling fixes). Background in high-performance C and system software. Education: National Technical University of Ukraine 'Kyiv Polytechnic Institute'.

    Executive Team

    OC

    Oleksandr Chekhovskyi

    Author / Lead Developer

    Product Lead Software Engineer at Favro. Experienced in C, system tools, and developer productivity.

    Founding Story

    Oleksandr created hax to address the bloat and complexity of existing AI agents, focusing on a lightweight C implementation that respects the terminal and integrates seamlessly with local models like llama.cpp.

    Business Model

    Revenue Model

    Open source (MIT License). No direct monetization reported.

    Pricing Tiers

    Open Source
    Free

    Available under MIT License on GitHub.

    Target Markets

    Industries & Segments
    • Developers
    • DevOps Engineers
    • Unix enthusiasts
    • Local AI researchers
    Use Cases
    • Terminal-based development
    • Running AI agents on resource-constrained systems
    • Local LLM workflows
    • Unix-style tool composition
    Notable Customers
    • Open-source community
    • AI-Ezio

    Quick Facts

    Headquarters
    Kyiv, Ukraine
    Founded
    2026
    Employees
    1
    Office Locations
    Kyiv

    History & Milestones

    2026

    Initial release and launch of 'hax' coding agent on GitHub.

    April 2026

    Formalization of hax open-source license (MIT).

    2026

    hax project adoption leads to derivatives such as ai-ezio.

    Key Capabilities

    6
    Single native C binary
    Low memory footprint (few MBs)
    Local model first-class support (llama.cpp)
    Terminal-native (streaming Markdown, live tool output)
    Inspectable transcripts (Ctrl+T)
    Multi-provider support (OpenAI, Anthropic, OpenRouter)

    Integrations & Partnerships

    Platform Integrations

    • macOS (Homebrew)
    • Linux (Debian, Fedora, Arch, openSUSE, Alpine)
    • GitHub Actions

    Key Partnerships

    Compatibility with llama.cpp, OpenRouter, and major LLM providers.

    Connect

    Website
    usehax.dev
    GitHub
    OleksandrChekhovskyi

    AI Topics

    3

    Oleksandr Chekhovskyi focuses on these topics:

    AI Coding Assistants(1)
    Command Line Assistants(1)
    Local Inference(1)
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