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CodingProfessional developers who want an AI-first editor
Free plan · from $8/monthAI tools directory / Categories
Coding tools range from autocomplete inside your editor to agents that take a task, change several files and open a pull request. App builders sit at the far end: you describe an app and get a working first version.
If you already write code, start with an assistant that works in the editor you use. If you don't, an app builder will get you further, but check how easily you can export the code later.
Professional developers who want an AI-first editor
Free plan · from $8/monthDevelopers who want code suggestions inside their usual editor
Free plan · from $10/user/monthDevelopers prototyping React and Next.js interfaces quickly
Free plan · from $30/user/monthTools with checked details come first, then ones with a confirmed free plan, then the rest A to Z.
Build and inspect software with an AI coding agent.
Use coding agents across GitHub and developer tools.
Prompt, build, and publish web applications.
Build apps and websites by chatting with AI.
Turn software ideas into apps with AI.
Build and publish apps from an idea in a browser.
Assign software development work to an AI engineer.
Automate developer workflows with AI agents.
Pair-program with an LLM in the terminal.
Review pull requests with AI.
Get AWS-oriented coding and modernization assistance.
Scale data-heavy AI workloads with Ray.
Scope and deliver software through an AI agency.
Route coding agents through models and context tools.
Turn designs and components into code with AI.
Call generative-media models through an API.
Provide web data to AI agents.
Use Gemini features inside a coding workflow.
Experiment with Gemini models and prompts.
Delegate coding tasks to Jules.
Build interfaces for machine-learning models.
Get AI coding help inside JetBrains IDEs.
Design and code product interfaces with AI.
Build and manage AI agents.
Process documents for AI workflows.
Maintain documentation for people and agents.
Track and evaluate models and agents.
Run AI workloads on managed compute.
Build healthcare AI applications with a toolkit.
Route requests to multiple AI models.
Build typed Python AI agents.
Review AI-generated code before deployment.
Run models through a cloud API.
Check code and AI applications for security risks.
Use repository context to understand and change code.
Turn an ML experiment into a shareable app.
Build with hosted AI models.
Build AI applications with a TypeScript toolkit.
Trace and evaluate AI applications.
Describe a hardware product in plain English and get a starting design, with help sourcing parts and manufacturing.
If you know an AI tool for coding that we should list, send it in. Listing is free.