LLMs

JevAI Community brings together playbooks, small tools, and demos built around the Jev model. Some examples run in the browser, where users can adjust inputs and share variants; the site positions itself as a community resource alongside the official API and infrastructure.

Code Wiki generates explanations, API references, and architecture views from public repositories. Its code-section navigation helps explore a project without manually reading every file.

This repository offers hands-on prompt-writing lessons with exercises and Claude examples. Its sections also cover tool use and response structure.

This archived OpenAI guide collects prompting advice for coding, agents and instruction following. It provides a GPT-5-specific reference that should be read in its publication context.

SurfSense provides a document application whose index stays on the machine. Choosing a local or remote model lets users adapt processing to document privacy requirements.

Robin Wieruch builds a Next.js chat connected to the OpenAI API, from the server route to the interface. The tutorial adds streaming to display responses progressively.

This VS Code extension experiments with model-assisted debugging using actual program execution. Breakpoints, stepping and observed values provide context for locating a bug.

The page records GitHub Models’ retirement on July 30, 2026 and distinguishes it from GitHub Copilot. It directs projects toward Microsoft’s remaining model-access options.

The example reads a Git diff, submits it to a model and posts comments in GitHub. The guide moves from a local script to a GitHub Action for workflow integration.

Repomix packages repository contents into a file suited to AI tools. It simplifies context preparation when an analysis needs to span multiple project files.

NLUX provides conversational UI components for connecting web applications to LLMs. It supports React, Next.js and plain JavaScript, with a CLI for bootstrapping a project.

Microsoft’s accelerator provides a starting point for deploying chat in an Azure subscription. It documents identity providers, extensions and conversations grounded in files.

Humanscript uses an LLM to interpret natural-language instructions and translate them into code at runtime. A screenshot-organizing example illustrates this approach to automation.

FlowGPT collects community-published prompts and AI apps, with categories for programming, work, and creative tasks. Users can browse examples or publish their own creations.