Best AI Tools for Developers
AI assistants, code generators and developer platforms that slot straight into your stack — from IDEs to APIs.
7 tools in this collection
Cursor
Cursor is an AI-first code editor built on VS Code, so existing extensions and keybindings carry over. It adds inline AI edits, a chat panel that can see your codebase, and an agent mode that plans and applies multi-file changes from a natural-language request. Tab completion predicts multi-line edits, and you can reference files, docs and symbols with @-mentions. It supports popular models from several providers and lets you bring your own API key. The free tier includes limited AI requests; paid plans raise limits and unlock the agent. Teams that want AI assistance without leaving a familiar editor tend to adopt it quickly.
Zed
Zed is an open-source code editor built for speed, with a native interface and GPU-accelerated rendering. It includes an agent panel that can read your project, edit files, and run commands, plus edit predictions that suggest the next change as you type. Zed connects to hosted models through a Pro subscription or to your own keys from Anthropic, OpenAI, Google, Bedrock, Ollama, and other providers. It also runs external agents such as Claude Agent and Codex CLI through the Agent Client Protocol. Multiplayer editing lets several developers share one workspace in real time.
Warp
Warp is a terminal built for coding agents, available as a desktop app and a command-line agent. You can run its agent in any terminal, launch cloud agents that work on a repository without your machine, and review what they changed. The terminal keeps command history, blocks, and workflows in a searchable drive, and indexes your codebase so the agent can find relevant files. It supports frontier and open-weight models, or you can bring your own API keys and inference endpoint. Paid plans include a monthly pool of agent usage at API rates, with add-on spending controls.
Replit
Replit is a browser-based development platform where an agent builds apps and websites from a plain-language description. You start with a prompt or the design canvas, then edit the generated code in a cloud IDE. The Agent writes full-stack code, and Replit provides authentication, a database, object storage, hosting, and monitoring without separate setup. More than 100 integrations connect services such as Stripe, OpenAI, and Google Workspace, and projects publish to a public URL. The free Starter plan includes daily Agent credits and one published app; Core adds fuller builds, more storage, and removes the Replit badge.
Kiro
Kiro is an agentic IDE from AWS that turns a prompt into a written specification before it writes code. The agent produces requirements, a design, and a sequenced task list as markdown files, then implements them with parallel agents on your machine or in the cloud. It checks requirements for gaps and uses property-based tests to catch edge cases that unit tests miss. A headless CLI runs the same agent in CI pipelines. It supports MCP servers, Agent Client Protocol, AGENTS.md, and Open VSX extensions. The free tier includes 50 credits per month.
Devin
Devin is a cloud coding agent that takes a task, works through it in its own virtual machine, and opens a pull request when it finishes. It runs in the cloud or on your machine, can start Windows, Mac, or Linux environments, tests changes in a browser, and records what it did. Large jobs split across parallel agents, and sessions continue after you close your laptop. It connects to GitHub, GitLab, Bitbucket, Slack, Jira, and Linear, and offers an API plus a generated repository wiki. Paid plans meter usage with daily and weekly quotas instead of charging per seat.
Ollama
Ollama lets you run open-weight language models on your own machine with a single command. It handles model downloads, GPU acceleration and local serving, exposing an API compatible with common OpenAI-style clients. The library includes models for chat, coding, vision and embeddings, from laptop-friendly options to larger models for workstations. Because everything runs locally, prompts and data never leave your computer — useful for confidential work, offline use and experimentation without per-token costs. It runs on macOS, Linux and Windows, and integrates with tools like Open WebUI. It is the simplest way to start with local LLMs, though large models need substantial RAM and a capable GPU.