ai-agent

little-coder: Efficient LLMs

Name: little-coder: Efficient LLMs
Author: itayinbarr

Get optimized smaller LLMs with little-coder, a tool.

2,249 stars148 forksTypeScriptGuide quality 8/10Updated 7/31/2026100% free · open source

What it does

Little-coder is a tool that helps optimize and harness smaller Large Language Models (LLMs) for more efficient use, particularly suitable for resource-constrained environments.

When to use it

•When you need to deploy LLMs on devices or platforms with limited computational resources.
•When optimizing the size and performance of LLMs is crucial for your application.
•When you're looking for a way to make your LLM-based application more energy-efficient and cost-effective.

Ready-to-paste prompt

To optimize a specific LLM model, you might use a command like `node dist/index.js --model-path=/path/to/your/model --output-path=/path/to/optimized/model`

Heads up: Ensure you have a compatible version of Node.js installed, as little-coder is built with TypeScript and relies on Node.js for execution, and some features might require specific versions of dependencies or TypeScript itself.

Saves to your device

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/little-coder && curl -fsSL https://workflowstacks.com/api/skills/little-coder/claude-skill -o ~/.claude/skills/little-coder/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

How little-coder: Efficient LLMs works

Codeflow

Free to inspect

Little-coder: Efficient LLMs is a large TypeScript project (~25k lines across 143 code files). It is a full software project: use it through its install path rather than reading it end to end. Last commit this month, Apache-2.0 license, has a test suite.

Size

Large codebase

~25k lines · 143 code files · ~3 h to skim

Setup

Developer setup

A real software project. Use it via its install path; don't expect to read it all.

Runs on

Node.js

No API keys detected

TypeScript 74%JavaScript 10%Python 8%CSS 3%Shell 3%

Where to start reading

1
README.md
Start here — what it does and how to install it
2
AGENTS.md
The instructions the AI actually follows
3
bin/extras.mjs
Where the program starts running
4
package.json
Dependencies and the commands it exposes

What's in each folder

skills/Prompts, skills & agent definitions31 files

bin/Command-line entry points10 files

site/Frontend / UI3 files

docs/Documentation13 files

benchmarks/Evaluations & benchmarks19 files

scripts/Helper scripts2 files

.pi/Tool / agent settings110 files

.github/CI / automation (GitHub Actions)4 files

READMEHas testsDocumentedCI checksApache-2.0 licenseUpdated this month

Use with Claude

New

Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.

🛠️ Technical setup

Expect 20–40 minutes in a terminal — or let your AI agent drive it.

Try it instantly — no install

Claude Code

mkdir -p ~/.claude/skills/little-coder && curl -fsSL https://workflowstacks.com/api/skills/little-coder/claude-skill -o ~/.claude/skills/little-coder/SKILL.md

Open in another AI app

Opens the app with this repo with the prompt ready to go — no copy-paste needed.

Connect the whole catalog (MCP)

claude mcp add --transport http workflowstacks https://workflowstacks.com/api/mcp

Adds a WorkflowStacks connector to Claude Code: search and load any skill here by chatting.

Quick Actions

Details

Creator

itayinbarr

Language

TypeScript