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Tutorials

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18:46
2026-09-17
dev.to
ai-tools

How to Build an AI Assistant in Termux With Python

A developer published a step-by-step guide for building a simple AI assistant on an Android phone using Termux and Python. The tutorial walks through installing Python and the OpenAI package, storing an API key in a .env…

07:52
2026-09-16
danicat.dev
ai-agents

Gemini for Go Developers: Building Agents in Go

Google's Gemini for Go Developers series published Part 3, a tutorial on building AI agents in Go using the Go GenAI SDK, Genkit, and Google's Agent Development Kit (ADK). The article defines an agent as a large language…

18:27
2026-09-15
buttercup.sh
ai-agents

How AI tool calling works (40 lines of vanilla JavaScript)

A tutorial demonstrates that tool calling — the mechanism that turns a chat model into an agent — requires roughly 20 lines of vanilla JavaScript using Anthropic's @anthropic-ai/sdk, in which the model emits a structured…

15:05
2026-09-15
heymeraki.substack.com
large-language-models

Building your first LLM API call in Python (step by step)

A developer published a step-by-step guide for making a first LLM API call in Python, walking through setting up a virtual environment, installing the Anthropic SDK and python-dotenv, and calling Claude via the messages.…

12:00
2026-09-15
machinelearningmastery.com
large-language-models

Treating Prompt Templates as Hyperparameters in Scikit-LLM GridSearchCV

A tutorial demonstrates treating prompt templates as tunable hyperparameters by wrapping a language model in a scikit-learn-compatible classifier and running GridSearchCV over candidate prompts for zero-shot text classif…

20:25
2026-09-13
promptcube3.com
ai-tools

Build a custom Claude MCP server for your local codebase

A tutorial published on the Claude tag page details how to configure a local Model Context Protocol (MCP) filesystem server so Claude Desktop can read a project's files directly, requiring users to edit claude_desktop_co…

23:25
2026-09-12
promptcube3.com
large-language-models

Build a secure LLM wrapper with Python and Pydantic

A developer tutorial recommends wrapping large language model calls with Python and Pydantic schema validation plus an Instructor middleware layer to block prompt injection and malformed output, citing a three-day produc…

12:00
2026-09-09
machinelearningmastery.com
machine-learning

Versioning and Tracking Scikit-LLM Experiments

A tutorial demonstrates how to build, track, compare, and register scikit-learn pipelines that integrate large language models using Scikit-LLM and MLflow, with code for logging multiple pipeline versions across differen…

12:51
2026-09-08
blog.devgenius.io
artificial-intelligence

Feeding Your Local Data to LLMs (II)

A developer tutorial demonstrates extending local LLM data feeding by storing embeddings in a Neo4j graph database and combining similarity search with full-text search, using a local LLM and Python packages including la…

17:40
2026-09-06
sourcefeed.dev
ai-safety

Sandbox Untrusted AI-Generated Code with gVisor

Emeka Okafor published a guide for sandboxing untrusted AI-generated Python code using gVisor's user-space kernel, demonstrating a Docker-based setup with no network, no capabilities, and hard CPU, memory, and process li…

11:47
2026-09-06
sourcefeed.dev
developer-tools

Automate Multi-File Refactors with Claude Code Subagents

A developer guide published by Mariana Souza on Sourcefeed demonstrates how to build a two-subagent refactor pipeline in Claude Code 2.1.263, using a read-only scout and a surgeon subagent behind a /refactor command that…

07:27
2026-09-04
dev.to
ai-agents

Build a web-aware agent with OpenAI Agents SDK and Zenrows

A developer guide demonstrates how to build a web-aware agent by combining OpenAI's Agents SDK with Zenrows' scraping API. The approach registers Zenrows Fetch as a function tool alongside OpenAI's WebSearchTool, enablin…

18:11
2026-09-03
dev.to
large-language-models

Running a Local LLM on an Older Computer: A Simple Home Lab Guide

A developer's guide demonstrates how to run a local large language model on older or modest hardware using Ollama, a tool that simplifies downloading and running open models. The tutorial covers installation, pulling sma…

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