Development & Code AI Tools

Desktop app for discovering, downloading, and running local LLMs with a chat UI.

LM Studio gives non-technical users a friendly desktop app for browsing, downloading, and chatting with open-source LLMs on their own computer, plus a local API server so developers can point their own apps at a locally running model instead of a cloud API.

• Built-in model browser and one-click downloads
• Chat UI plus a local OpenAI-compatible API server
• Runs fully offline, no account required

Open-source AI code assistant that plugs into VS Code and JetBrains.

Continue.dev is an open-source IDE extension for AI-assisted coding, letting teams bring their own model (including local or self-hosted LLMs) for autocomplete, chat, and edits.

• Bring-your-own-model flexibility
• VS Code and JetBrains extensions
• Open-source and self-hostable

Open-source AI pair programmer that edits code directly from the terminal.

Aider is a command-line AI coding tool that reads a whole repository, edits multiple files at once from natural-language instructions, and commits changes with generated messages.

• Whole-repo aware editing
• Multi-file changes from one instruction
• Git-integrated commit messages

Low-latency AI code completion tool built for very large context windows.

Supermaven focuses on fast, low-latency inline code completion, using a large context window to understand more of a codebase than typical autocomplete tools.

• Very low completion latency
• Large-context code understanding
• VS Code and JetBrains plugins

Enterprise AI coding platform built on models trained on a company's own code.

Poolside provides AI coding assistance and agents for large enterprises, with models that can be trained or fine-tuned on a company's private codebase for deployment in secure environments.

• Models trainable on private codebases
• Enterprise/self-hosted deployment options
• AI coding agents for large engineering orgs

Data-centric AI platform for programmatically labeling and curating training data.

Snorkel AI helps teams label, curate, and manage training data programmatically instead of by hand, aimed at building and fine-tuning machine learning and LLM models faster.

• Programmatic data labeling
• LLM fine-tuning data curation
• Enterprise ML data pipeline tools

AI coding agent that understands a full codebase across IDEs.

Zencoder is an AI coding agent, delivered as an IDE extension, that indexes an entire codebase and repo context to generate code, write tests, and fix bugs with fewer manual prompts.

• Full-codebase context awareness
• Automated test generation
• Multi-IDE extension support

Agentic AI platform ("Droids") that handles multi-step software engineering tasks.

Factory AI runs autonomous coding agents called Droids that can plan and execute multi-step engineering work — from code review to migrations — integrated with a team's existing dev tools.

• Autonomous multi-step coding agents
• Integrates with existing dev tool stack
• Handles migrations and repetitive engineering work

AI-powered tool for saving, organizing, and reusing code snippets with context.

Pieces for Developers captures code snippets with surrounding context automatically, then uses AI to tag, describe, and surface them later across IDEs, browsers, and chat tools.

• Context-aware snippet capture
• AI tagging and search across snippets
• Works across IDEs and browser tools

No-code platform for building predictive AI models from spreadsheet data.

Akkio lets non-technical users upload spreadsheet or CRM data and build predictive machine-learning models — like churn or demand forecasts — without writing code.

• No-code predictive model building
• Works directly from spreadsheet/CRM data
• Pre-built templates for common predictions