Coding & Dev Tools AI Tools

v0

Generate production-ready UI components from a text prompt

v0 by Vercel is a generative UI tool that converts natural language prompts into React and Tailwind CSS components ready to ship. It supports iterative refinement through chat, exports clean code, and integrates with Next.js projects. Perfect for developers and designers who want to scaffold polished frontends in seconds.

Stable Beluga

Stability AI's instruction-tuned 65B LLM built on LLaMA

Stable Beluga is a 65-billion parameter language model from Stability AI, fine-tuned on LLaMA 65B using an internal Orca-style dataset to enhance instruction following. It excels at answering questions, completing writing tasks, and following complex instructions. Released under a non-commercial CC BY-NC-4.0 license, it targets researchers and developers building open-source LLM applications.

Build a Reasoning Model (From Scratch)

Hands-on guide to building reasoning-capable AI models step by step

This Manning Publications book teaches readers how to construct reasoning-focused AI models inspired by systems like OpenAI's o1, covering chain-of-thought training, reinforcement learning from human feedback, and search-augmented inference. It provides practical code implementations alongside the theory to help readers understand how deliberative reasoning emerges in modern LLMs. The book is suited for ML engineers and researchers looking to go beyond standard instruction fine-tuning.

Build an AI Agent (From Scratch)

Practical guide to designing and coding autonomous AI agents

This Manning Publications book provides a step-by-step approach to building autonomous AI agents that can plan, use tools, browse the web, and execute multi-step tasks. It covers agentic frameworks, memory systems, tool calling, and evaluation strategies with hands-on Python implementations. The book is aimed at developers and AI engineers who want to move from passive LLM usage to building production-ready agentic systems.

Build a Large Language Model (From Scratch)

Learn to build an LLM from the ground up with hands-on code

This Manning Publications book by Sebastian Raschka guides readers through building a GPT-style large language model from scratch using Python and PyTorch. It covers tokenization, transformer architecture, pre-training, and fine-tuning with clear, step-by-step code examples. The book is designed for ML practitioners and engineers who want a deep, practical understanding of how modern LLMs like ChatGPT actually work under the hood.

Context Engineering Guide — Prompt Engineering Guide

In-depth guide to context engineering for LLM applications

The Context Engineering Guide from PromptingGuide.ai provides a thorough overview of techniques for designing and managing the information provided to language models beyond simple prompt writing. It covers retrieval-augmented generation, context window optimization, structured context schemas, and evaluation methods for context quality. The guide is valuable for AI engineers and researchers building sophisticated LLM pipelines who need to go beyond basic prompting.

GPTLocalhost

Run and demo GPT language models entirely on your local machine

GPTLocalhost provides a local interface for running and demoing GPT-based language models without sending data to external servers. It is designed for developers who want to test AI capabilities in a private, offline-friendly environment. Useful for prototyping, privacy-sensitive applications, and evaluating model behavior locally.

Chatbot UI

Open-source self-hostable ChatGPT interface with full customization

Chatbot UI is an open-source, self-hostable web interface for interacting with OpenAI's API, offering a clean ChatGPT-like experience with system prompt customization, model switching, and conversation management. Built by Mckay Wrigley, it is widely used by developers who want full control over their AI chat environment without relying on OpenAI's own interface.

tabnine

Privacy-first AI code completion that runs locally or in the cloud

Tabnine is an AI code completion tool that provides whole-line and full-function suggestions across all major languages and IDEs. It can run fully on-premise or locally to keep proprietary code private, making it a popular choice for enterprises with strict data governance requirements. Supports VS Code, JetBrains, Vim, and more with team-specific model personalization.

Debuild

AI-powered low-code tool for building web apps from descriptions

Debuild is an AI-assisted low-code web application builder that generates React components and SQL queries from plain text descriptions. Users describe what they want and Debuild assembles the frontend and backend logic automatically. Geared toward developers and entrepreneurs who want to prototype and launch web apps with minimal manual coding.

Phoenix

Open-source AI observability platform for evaluating LLM apps

Phoenix by Arize is an open-source observability and evaluation tool for AI and LLM applications. It provides tracing, dataset management, and built-in evaluators to measure hallucination, relevance, and toxicity. Designed for ML engineers and data scientists who need deep insight into model and agent behavior during development and production.

Callstack.ai PR Reviewer

AI code reviewer specialized for React Native and JavaScript PRs

Callstack.ai PR Reviewer is an AI-powered pull request review tool built by the React Native experts at Callstack. It provides automated, contextual feedback on JavaScript and React Native code, covering performance, best practices, and React-specific patterns. Tailored for React Native teams who want domain-specific AI review beyond generic linting.

LLM

Run and log prompts to any LLM from the command line

LLM is a CLI tool and Python library by Simon Willison (Datasette) for running prompts against OpenAI, Anthropic, Gemini, and local models from the terminal. It logs every prompt and response to a local SQLite database and supports plugins for additional model providers. Ideal for developers and researchers who want scriptable, auditable LLM access.

OpenAI Downtime Monitor

Real-time status tracker for OpenAI API uptime and incidents

OpenAI Downtime Monitor, powered by Portkey, tracks the live availability and latency of OpenAI's API and related services. It shows historical uptime, active incidents, and response time trends across model endpoints. Useful for developers and teams who depend on OpenAI APIs and need instant visibility into service disruptions.

Gopher

DeepMind's 280B parameter language model for research

Gopher is a 280-billion parameter large language model developed by DeepMind, designed to advance understanding of language model capabilities and limitations at scale. It was evaluated across 152 diverse tasks and demonstrated strong performance in reading comprehension, fact-checking, and knowledge-intensive domains. Released as a research model, it also included a companion paper on ethical considerations and societal impact.

Kilo Code

Open-source AI coding agent for VS Code with deep codebase context

Kilo Code is an open-source AI coding agent extension for VS Code that provides code generation, refactoring, and multi-file editing with full project context awareness. It supports multiple LLM backends and lets developers bring their own API keys for full control. Aimed at developers who want a powerful, customizable AI coding assistant without vendor lock-in.

Scale Spellbook

Build, compare, and deploy LLM apps with enterprise-grade tooling

Scale Spellbook is a prompt engineering and LLM evaluation platform by Scale AI that helps teams design, test, and deploy large language model applications. It offers side-by-side model comparisons, versioned prompt management, and human-in-the-loop evaluation suited for enterprise AI teams.

Interviews Chat

Ace your next job interview with real-time AI coaching and feedback

Interviews Chat provides AI-powered mock interview practice with personalized feedback on answers, tone, and structure. Job seekers can rehearse role-specific questions, receive improvement tips, and build confidence before facing real interviewers across any industry.

Copilot

Microsoft's AI companion powered by GPT-4 across all products

Microsoft Copilot is an AI assistant integrated across Microsoft's ecosystem including Windows, Edge, Microsoft 365, and Bing. Powered by OpenAI's GPT-4, it helps with writing, research, image generation, coding, and task automation. Available for free with optional paid plans for enhanced productivity features.

Gitingest

Turn any GitHub repo into a single LLM-ready text digest

Gitingest converts a GitHub repository URL into a clean, structured text file optimized for pasting into LLM context windows. It strips noise, respects .gitignore, and lets users filter by file type or directory. Handy for developers who want to give an AI assistant full codebase context with a single URL.

Unsloth

Fine-tune LLMs up to 5x faster with 70% less VRAM usage

Unsloth is an open-source library that dramatically accelerates LLM fine-tuning by rewriting key CUDA kernels in Triton. It supports QLoRA and LoRA training for Llama, Mistral, Gemma, and other models with minimal code changes. Targeted at ML engineers and researchers who want to fine-tune large models on consumer or budget GPUs.

Cursor

AI-first code editor built on VS Code with deep model integration

Cursor is a fork of VS Code that embeds powerful AI features including multi-file editing, codebase-wide chat, and an AI agent that can autonomously complete tasks. It supports GPT-4 and Claude models, autocomplete, and inline diff review. Popular among professional developers who want AI assistance tightly integrated into a familiar editor.

OpenAI Playground

Interactively test and tune OpenAI models in your browser

OpenAI Playground is a web-based interface for experimenting with GPT-4, o1, and other OpenAI models in chat, completion, and assistants modes. Users can adjust system prompts, temperature, and token limits in real time and compare model outputs. It's the go-to sandbox for developers prototyping prompts before embedding them in applications.

RunThisLLM

Find the right LLM setup and run it locally in minutes

RunThisLLM helps users discover and configure local LLM setups by recommending models and hardware configurations based on their specific machine specs. It simplifies the decision of which model to run and how, reducing setup friction for newcomers to local AI. Aimed at developers and curious users who want to get a local model running fast.

Gemini CLI

Google's open-source AI agent for coding tasks in the terminal

Gemini CLI is an open-source command-line AI agent by Google that uses Gemini models to assist with coding, file editing, and agentic tasks directly in the terminal. It connects to Google Search for grounding and supports tool use for real-world actions. Aimed at developers who want a capable, free, open-source terminal AI assistant.

Devin

The first fully autonomous AI software engineer for real tasks

Devin by Cognition AI is an autonomous AI software engineer that can plan, code, debug, and deploy full projects end-to-end inside its own sandboxed environment with a browser, terminal, and editor. It tackles multi-step engineering tasks from a single natural language specification. Designed for engineering teams who want to delegate entire coding tasks to an AI agent.

LLaMA

Meta's efficient foundational LLM released for open research

LLaMA (Large Language Model Meta AI) is a foundational language model released by Meta AI in sizes ranging from 7B to 65B parameters, designed to be more compute-efficient than comparable models. Despite its smaller size, LLaMA outperforms GPT-3 on many benchmarks when fine-tuned. It was released for non-commercial research use and became the base for numerous community fine-tuned models like Alpaca and Vicuna.

Llama 2

Meta's open-source LLM fine-tuned for chat and research

Llama 2 is Meta's second-generation open-source large language model, available in 7B, 13B, and 70B parameter sizes, with both pretrained and fine-tuned chat variants. Unlike the original LLaMA, Llama 2 is released for both research and commercial use under a permissive license. The chat-optimized versions use RLHF alignment and are competitive with many proprietary models on reasoning and dialogue benchmarks.

OpenAI API

Access GPT-4, DALL-E, and Whisper via a simple REST API

The OpenAI API provides programmatic access to OpenAI's suite of models including GPT-4o, GPT-4, Whisper for speech-to-text, DALL-E for image generation, and embeddings models. Developers can integrate natural language understanding, content generation, and multimodal capabilities into any application. It offers pay-per-token pricing with extensive documentation and SDKs for Python and Node.js.

GPT-4 Demo

Discover apps and demos showcasing GPT-4 capabilities across industries

GPT-4 Demo is a directory of applications, experiments, and use cases built using OpenAI's GPT-4 model, organized by industry and task type. It helps developers, entrepreneurs, and researchers explore what has been built with GPT-4 to identify patterns and opportunities. The site complements GPT-3 Demo by specifically highlighting capabilities unlocked by GPT-4's stronger reasoning and multimodal features.

PromptPerfect

Automatically optimize your AI prompts for better model outputs

PromptPerfect is a prompt optimization tool from Jina AI that automatically rewrites and improves user-written prompts for models like GPT-4, Claude, Midjourney, and Stable Diffusion. It analyzes the intent of the original prompt and applies best-practice prompt engineering techniques to enhance clarity, specificity, and output quality. It is useful for non-technical users and developers who want to quickly improve prompts without deep expertise in prompt engineering.

OpenAI Prompt Engineering Guide

Official OpenAI guide to writing effective prompts for GPT models

OpenAI's Prompt Engineering Guide is official documentation covering best practices and strategies for getting reliable, high-quality outputs from GPT models. It includes techniques like few-shot examples, chain-of-thought prompting, system message design, and instruction clarity. The guide is essential reading for developers and power users building applications on the OpenAI API who want to improve model behavior systematically.

Calmo

AI-powered customer support automation for lean support teams

Calmo is an AI customer support tool that automates responses to common inquiries using your existing knowledge base and documentation. It handles ticket deflection, drafts replies for agent review, and escalates complex issues to humans. Designed for small and mid-sized teams looking to scale support quality without growing headcount.

Portkey

AI gateway that unifies LLM providers with reliability and observability

Portkey is an AI gateway that routes requests across 100+ LLM providers with features like load balancing, fallbacks, caching, and rate limiting. It also provides a full observability suite with request logging, cost tracking, and prompt versioning. Built for teams that run LLMs in production and need resilience and cost control.

Amazon CodeWhisperer

Amazon's AI code companion for secure, cloud-aware code generation

Amazon CodeWhisperer is an AI coding assistant from AWS that generates real-time code suggestions and completions directly in popular IDEs including VS Code, JetBrains, and AWS Cloud9. It is trained on Amazon's internal codebase and public code, with built-in security scanning to flag vulnerabilities. Best for developers building on AWS who want code suggestions tuned to AWS APIs and best practices.

Haystack

Open-source framework for building LLM-powered search pipelines

Haystack is an open-source Python framework by deepset for building production-ready NLP applications, including RAG pipelines, semantic search, and question-answering systems. It supports a wide range of LLMs and document stores, giving ML engineers and developers the composable building blocks to ship robust AI applications.