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    3. Itay Inbar

    Itay Inbar

    To enable complex coding tasks on local hardware using small, optimized language models through specialized scaffolding.

    Visit Website

    At a Glance

    1Tool Listed
    1Product
    6Capabilities
    Discussions
    Tel Aviv, IsraelHeadquarters
    2026Est.
    1Employee
    Focus Areas
    AI Coding Assistants
    Local Inference
    Autonomous Systems
    Connect
    Latest News
    Honey, I Shrunk the Coding Agent: Why scaffold-model fit mattersApr 19, 2026
    Little Coder appears on Terminal-Bench 2.0 Official LeaderboardMay 13, 2026
    Markets
    • Software Developers
    • AI Researchers
    • Privacy-conscious coders

    AI Tools by Itay Inbar

    (1)
    View little-coder
    little-coder tool icon

    little-coder

    Coding Agent for Small Local LLMs

    AI Coding Asst.Local InferenceAutonomous Systems

    Discussions

    No discussions yet

    Be the first to start a discussion about Itay Inbar

    Latest News

    04/19/2026

    Honey, I Shrunk the Coding Agent: Why scaffold-model fit matters

    itayinbarr.substack.com
    05/13/2026

    Little Coder appears on Terminal-Bench 2.0 Official Leaderboard

    tbench.ai
    05/23/2026

    Little Coder v1.8.1 released on GitHub

    github.com

    Products & Services

    1
    Little Coder (lc)
    2026-04-19

    An open-source coding agent tuned for small local language models (like Qwen3.6-35b-a3b), designed for offline use on consumer hardware.

    Market Position

    Outperforms frontier cloud models like Gemini 2.5 Pro on specific coding benchmarks by utilizing optimized local scaffolding.

    Leadership

    Founders

    II

    Itay Inbar

    Data Scientist at BrainQ with a background in Computational Neuroscience (Master's from Ben-Gurion University, 2024-2026). Expert in AI and architectural adaptation for small language models.

    Executive Team

    II

    Itay Inbar

    Founder & Lead Developer

    Data Scientist at BrainQ; Master's in Computational Neuroscience.

    Founding Story

    Created by Itay Inbar to explore how architectural adaptation can allow small models (like 3B active parameter models) to outperform frontier cloud models on coding benchmarks.

    Business Model

    Revenue Model

    Open Source Project (Free)

    Pricing Tiers

    Open Source
    $0

    Free and open-source under MIT or similar license.

    Private (Open Source)

    Target Markets

    Industries & Segments
    • Software Developers
    • AI Researchers
    • Privacy-conscious coders
    Use Cases
    • Offline coding on consumer laptops
    • Privacy-focused development
    • Cost-optimized agentic coding
    Notable Customers
    • Open Source Community

    Quick Facts

    Headquarters
    Tel Aviv, Israel
    Founded
    2026
    Entity Type
    Open Source Project
    Employees
    1
    Total Funding
    None (Open Source)

    History & Milestones

    2026-04-19

    Published 'Honey, I Shrunk the Coding Agent' white paper explaining the scaffold-model fit for small LLMs.

    2026-05-13

    Little Coder ranked #120 on the official Terminal-Bench 2.0 leaderboard, outperforming Gemini 2.5 Pro.

    2026-05-23

    Released Little Coder v1.8.1, featuring improvements like bounding glob walks to prevent OOM errors.

    Key Capabilities

    6
    Optimized for small local LLMs
    Offline capability
    Scaffold-model fit optimization
    Integration with llama.cpp
    Benchmarking with Aider Polyglot and Terminal-Bench
    Multi-agent support

    Integrations & Partnerships

    Platform Integrations

    • llama.cpp
    • Terminal-Bench 2.0
    • Aider Polyglot

    Key Partnerships

    Built on @earendil-works/pi-coding-agent

    Connect

    Website
    itayinbar.com/
    GitHub
    itayinbarr

    AI Topics

    3

    Itay Inbar focuses on these topics:

    AI Coding Assistants(1)
    Local Inference(1)
    Autonomous Systems(1)
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