Best Code & Dev AI Tools
Write and review code, build apps, and work with AI models, RAG, agent frameworks, MCP servers and infrastructure.
Showing 12 of 13 tools
Code and development tools help developers write, review and test code, build apps and work with AI models. This page compares AI coding assistants and agents, open-source models and local runtimes, RAG and knowledge-base frameworks, MCP servers, databases and infrastructure tools.
How to choose an AI coding tool
Check support for your languages and editor, how well it understands a large codebase, whether it can run tests and edit several files, and how it handles your code and secrets. Try it on a real task from your backlog rather than a demo, and compare how much of the output you keep.
Building with AI models
For AI features in your own product, compare model quality, latency and cost, whether you can run models locally, and the frameworks for retrieval, agents and evaluation. Review licenses, maintenance activity and security before adopting an open-source project, especially tools that can execute commands.
FAQ
Which AI coding assistant is best?
It depends on your editor, languages and workflow. Some tools excel at inline completion, others at agent-style changes across many files. Try two or three on real work.
Can I run AI models on my own computer?
Yes. Many open-source models run locally with tools like Ollama or LM Studio. Smaller models run on laptops; larger ones need a strong GPU and more memory.
What is an MCP server?
Model Context Protocol servers let AI assistants and agents connect to tools and data, such as databases, file systems or business apps, through a standard interface.