Discover AI tools and software worth knowing

AI search and research product that combines web retrieval with synthesized answers and source links. Research and file features vary by plan; citations still need checking.

Issue tracking, sprint planning, and product roadmaps engineered with blazing speed, keyboard shortcuts, and clean aesthetics.

The source is useful if you need to understand or operate the backend yourself. Go in with a plan for the services around Postgres as well as the database.

AI coding environment with project search, agent-driven file editing and terminal tools. Review generated changes and model usage as part of the development workflow.

Postgres database with Realtime subscriptions, Auth, edge functions, and Storage. Built for modern developers.

Issue tracking, sprint planning, and product roadmaps engineered with blazing speed, keyboard shortcuts, and clean aesthetics.

Anthropic's coding agent can inspect a codebase, edit files, run commands and work with development tools across terminal, editor, desktop and web interfaces.

For a first local-model experiment, reducing setup is useful. Ollama gives you a straightforward way to pull a supported model, run it and try it from an application.

Local model inference gets interesting when you need control over the runtime. llama.cpp is a serious option if you are willing to match the model, build and hardware yourself.

Being able to change the component code is the appeal here. shadcn/ui is worth considering if you want a starting point for your own interface system and are prepared to maintain it.

The source is useful if you need to understand or operate the backend yourself. Go in with a plan for the services around Postgres as well as the database.