Coding & Dev AI Tools

Mutiny

Personalize your website for every visitor without writing code

Mutiny is a no-code AI personalization platform that helps B2B companies tailor website content, messaging, and CTAs to different audience segments based on firmographic and behavioral data. It integrates with CRMs like Salesforce and HubSpot to drive pipeline and conversion. Trusted by revenue and growth teams at enterprise SaaS companies.

AI-Flow

Build and connect AI model pipelines visually with no code

AI-Flow is an open-source visual tool for connecting multiple AI models and APIs into automated pipelines using a node-based interface. Developers and researchers can chain GPT, Stable Diffusion, and other services together to build complex AI workflows without writing glue code.

Shotstack Workflows

Automate video production pipelines with a no-code AI workflow builder

Shotstack Workflows is a visual automation platform that lets developers and businesses chain together video editing, rendering, and AI media tasks without writing complex code. It integrates with APIs, media libraries, and AI services to produce personalized video content at scale.

Myriad

Generate diverse AI content prompts to spark creative ideas fast

Myriad is a free AI content prompt tool by NamePepper that helps writers, marketers, and creators generate varied prompt ideas for blog posts, social content, and campaigns. It quickly surfaces angles and hooks so teams can beat creative blocks and produce content more efficiently.

Interview Solver

Solve coding interview problems in real time with AI assistance

Interview Solver provides real-time AI guidance during technical coding interviews, helping candidates work through data structures, algorithms, and system design questions. It acts as a discreet co-pilot for developers preparing for or sitting FAANG-style interviews.

Promptly

Build and share AI-powered apps without writing code

Promptly is a no-code platform for building, deploying, and sharing AI-powered applications and chatbots. Users can chain prompts, connect data sources, and embed assistants into their workflows or products. It's designed for teams and individuals who want to harness LLMs without engineering overhead.

ChatGPT prompt engineering for developers

DeepLearning.AI short course on prompt engineering with GPT

A free short course by DeepLearning.AI and OpenAI, taught by Isa Fulford and Andrew Ng, covering best practices for prompting ChatGPT in application development. Topics include iterative prompt refinement, summarization, inference, transformation, and building chatbots. Ideal for developers integrating LLMs into software products.

Qwen

Alibaba's powerful open-source LLM family for diverse tasks

Qwen is Alibaba Cloud's series of large language models available in multiple sizes, excelling at multilingual tasks, coding, math, and reasoning. Many Qwen models are released open-source, making them accessible for research and commercial deployment. The family includes specialized variants for vision, audio, and long-context understanding.

Read AI

AI meeting assistant that summarizes, transcribes, and scores meetings

Read AI is an AI-powered meeting assistant that automatically joins video calls on Zoom, Google Meet, and Teams to transcribe, summarize, and extract action items. It also provides engagement scores and speaker analytics to improve meeting effectiveness. Widely used by teams seeking to reduce manual note-taking and capture insights from every meeting.

Amazon Q

AWS's AI assistant for business built for cloud and code

Amazon Q is AWS's generative AI-powered assistant tailored for business and software development use cases. It helps developers write, debug, and explain code within IDEs, and assists enterprise users with querying internal data, generating reports, and automating workflows using AWS services. Deeply integrated with the AWS ecosystem for cloud-native teams.

AI For Developers

Curated AI tools and resources built for developers

AI For Developers is a curated directory of AI tools, APIs, and resources tailored specifically for software engineers and developers. It surfaces practical AI integrations, libraries, and services to help developers build smarter applications faster. The platform focuses on actionable, developer-centric AI resources rather than general consumer tools.

Continue

Open-source AI code assistant that plugs into your IDE

Continue is an open-source AI coding assistant that integrates directly into VS Code and JetBrains IDEs. It supports any LLM provider. OpenAI, Anthropic, local models, for inline completions, chat, and refactoring. Developers get full control over model choice and context, making it ideal for teams wanting flexible, self-hostable AI coding workflows.

Lovable

Build full-stack web apps from a prompt with no code

Lovable is an AI full-stack app builder that generates React frontends backed by Supabase databases from plain-English descriptions. Users can iterate on features through conversational prompts, deploy instantly, and connect custom domains. Targeted at founders, product managers, and developers who want to ship apps without boilerplate.

Windsurf

Agentic AI IDE that codes alongside you in real time

Windsurf (by Codeium) is an AI-native IDE built around an agentic assistant called Cascade that can plan, write, and execute multi-step coding tasks. It features deep codebase awareness, in-editor chat, and autonomous file editing. Designed for professional developers who want an AI partner that acts, not just suggests.

aider

AI pair programmer that edits your codebase from the terminal

aider is an open-source command-line tool that lets developers pair-program with GPT-4, Claude, and other LLMs directly in their terminal. It reads repo context, applies multi-file edits, and commits changes with meaningful messages automatically. Best suited for developers who prefer a CLI-first, git-integrated AI coding workflow.

Vanna.ai

Train an AI model on your schema and query data in plain English

Vanna.ai is an open-source Python framework that lets you fine-tune a retrieval-augmented LLM on your own database schema and query history. It translates natural language questions into accurate SQL and can run in a notebook or Slack bot. Designed for data teams who need a customizable, private text-to-SQL solution.

OpenRouter

One API to route requests across 200+ AI models and providers

OpenRouter provides a unified REST API that lets developers access models from OpenAI, Anthropic, Google, Meta, Mistral, and dozens more through a single endpoint. It handles provider fallback, cost comparison, and rate-limit routing automatically. Ideal for developers and startups building model-agnostic AI applications.

LM Studio

Discover, download, and run local LLMs with a friendly GUI

LM Studio is a desktop application for discovering, downloading, and running open-source LLMs on Mac, Windows, and Linux using local CPU and GPU resources. It includes a ChatGPT-style chat UI, model library browser, and a local OpenAI-compatible server. Popular with developers and enthusiasts who want effortless local model experimentation.

Repomix

Pack your entire repo into one AI-friendly file instantly

Repomix is an open-source CLI tool that bundles an entire codebase into a single, well-formatted text file suited for LLM ingestion. It supports XML, Markdown, and plain text output, respects .gitignore, and offers token count estimates. Great for developers who need to feed large codebases to AI models efficiently.

Jan

Run open-source LLMs fully offline on your own computer

Jan is an open-source desktop application that runs large language models entirely locally on Mac, Windows, and Linux without any cloud dependency. It features a ChatGPT-like interface, an in-app model hub, and OpenAI-compatible API server mode. Perfect for privacy-conscious users and developers who want offline AI without sending data to the cloud.

Google AI Studio

Prototype and test Gemini models with a free browser interface

Google AI Studio is a free, browser-based developer environment for testing and building with the Gemini family of models, including Gemini 1.5 Pro's million-token context. It supports multimodal inputs, text, images, audio, video, and generates API keys and code snippets for fast integration. Ideal for developers exploring Gemini's capabilities before building full applications.

Msty

Beautiful offline-first desktop app for running local AI models

Msty is a polished desktop AI chat application that runs local models via Ollama and also connects to cloud providers like OpenAI and Anthropic from one interface. It offers conversation branching, model comparison, and document chat. Suited for power users who want a premium UI for both local and cloud LLM interactions.

Helicone AI

Open-source LLM observability: log, monitor, and optimize AI calls

Helicone is an open-source observability platform that proxies LLM API calls to provide logging, cost tracking, latency metrics, prompt versioning, and caching. It integrates with a one-line code change and supports OpenAI, Anthropic, and Azure. Built for AI teams who need production-grade monitoring without heavy infrastructure.

Wren AI

Open-source AI data analyst that speaks SQL to your warehouse

Wren AI is an open-source AI Business Intelligence platform that connects to data warehouses and lets teams query data through natural language. It generates SQL, renders charts, and understands business context via a semantic layer. Designed for data teams and analysts who want self-service analytics without writing SQL.

MLflow

Open-source platform to manage the full ML lifecycle end-to-end

MLflow is an open-source platform by Databricks for tracking experiments, packaging models, and managing deployments across the ML lifecycle. It supports any ML library through a simple Python API and stores parameters, metrics, and artifacts automatically. Widely used by data scientists and ML engineers in both research and production environments.

Hermes Agent

Nous Research's open-weight agentic model for tool-use tasks

Hermes Agent is an agentic AI system by Nous Research built on their Hermes series of open-weight models, optimized for function calling, tool use, and structured outputs. It is designed to handle complex multi-step tasks with reliable JSON output and API interaction. Suited for researchers and developers who want a capable, open-weight model for agentic pipelines.

OpenCode

Terminal-based AI coding agent powered by any LLM provider

OpenCode is an open-source terminal AI coding assistant that supports multiple LLM backends including OpenAI, Anthropic, and local models. It provides an interactive TUI interface for chatting about code, running edits, and executing terminal commands within a project context. Suited for developers who want a lightweight, provider-agnostic agentic coding CLI.

Claude Code

Anthropic's agentic AI coding tool that lives in your terminal

Claude Code is an official agentic CLI tool by Anthropic that brings Claude directly into the developer's terminal and editor. It can read, write, and refactor files across a codebase, run shell commands, and execute multi-step coding tasks autonomously. Built for developers who want a powerful, safe AI coding agent without leaving their existing workflow.

Openwork

AI agent for automating knowledge work tasks across your tools

Openwork is an AI agent platform that automates repetitive knowledge work by connecting to workplace tools like email, calendars, and documents to complete tasks on behalf of users. It uses agentic reasoning to handle multi-step workflows end-to-end. Targeted at professionals and teams looking to delegate routine digital work to an AI assistant.

SalesAgent Chat

AI sales agent that converts website visitors into qualified leads

SalesAgent Chat is an AI-powered chatbot platform that engages website visitors with personalized sales conversations, qualifies leads, and books meetings automatically. It is built for B2B sales teams who want to increase pipeline without scaling their SDR headcount.

LangChain

The leading framework for building LLM-powered applications

LangChain is an open-source Python and JavaScript framework that provides the core abstractions and integrations for building applications powered by large language models, including agents, RAG pipelines, and tool-using systems. It is the most widely adopted LLM application framework, used by developers ranging from hobbyists to Fortune 500 engineering teams.

Keploy

Auto-generate API tests and mocks from real traffic recordings

Keploy is an open-source testing platform that automatically generates unit tests, integration tests, and data mocks by recording live API traffic from an application. It dramatically reduces the manual effort needed to write and maintain tests, helping backend engineering teams improve code coverage and catch regressions faster.

Ollama

Run large language models locally on your own machine

Ollama is an open-source tool that makes it easy to download and run state-of-the-art large language models like Llama, Mistral, and Gemma locally on macOS, Linux, and Windows. It provides a simple CLI and API, giving developers and privacy-conscious users full control over their AI without sending data to the cloud.

Portia AI

Agentic AI platform that plans and executes complex tasks reliably

Portia AI is an agentic workflow platform that helps developers build reliable AI agents capable of multi-step task planning and execution. It provides tools for agent memory, tool use, and clarification handling so agents can complete complex real-world tasks autonomously. Designed for teams building production-grade AI pipelines.

co:here

Enterprise NLP platform for building production-grade AI apps

Cohere provides enterprise-focused large language model APIs for text generation, embedding, classification, and semantic search. Its platform is optimized for business use cases and offers deployment flexibility including on-premises and private cloud options, targeting developers and enterprises building reliable, scalable NLP applications.

Langfuse

Open-source LLM observability and prompt management platform

Langfuse is an open-source platform for tracing, monitoring, and debugging LLM applications. It captures traces of prompts, completions, and tool calls to help teams detect issues, measure costs, and improve quality. It also offers prompt versioning and A/B testing, making it a comprehensive LLMOps tool for engineering teams.