CATEGORY

AI Dev Tools

Developer tooling is where AI assistance has produced the clearest measured gains and the loudest disagreement about their size. What is not in dispute is where the value concentrates: writing code you already know how to write, navigating a codebase you did not write, and producing the scaffolding, tests and boilerplate nobody enjoys. The tools here differ mainly along two axes that decide whether one will suit your team — how much of your repository the model can see at once, and whether the code you send leaves your infrastructure at all.

8 tools
Freemium

One API for leading AI video, image, audio, and language models

#dev-tools#ai-model
Paid

AI code reviewer that understands your codebase

#dev-tools#coding-assistant
Freemium

The multimodal data lab

#dev-tools#data-extraction
Freemium

AI-first code editor built for building software with frontier AI

#dev-tools#coding-assistant
Free

Open-source AI coding agent for VS Code with Plan/Act modes

#dev-tools#coding-assistant
Freemium

Cloud development platform with AI-powered infrastructure management

#dev-tools#cloud-based-tool
Freemium

AI pair programmer that writes, explains, and fixes code in your IDE

#coding-assistant#dev-tools
Paid

Access multiple AI model providers through one unified API

#infrastructure#dev-tools

This page lists 8 tools filed under Dev Tools , including KIE AI and Greptile . Each listing sets out what the tool does, its current plans, and where it falls short. Nothing here is ordered by payment — how listings are written and funded is explained on our about page.

Frequently Asked Questions About Dev Tools AI Tools

Is my source code used to train these models?

It depends entirely on the plan. Individual and free tiers frequently allow training on your prompts and completions by default; business and enterprise tiers usually contractually exclude it and offer zero-retention options. If your repository is under an NDA or contains anything regulated, this is the term to read before you evaluate anything else about the product.

How much context can the tool actually see?

This is the single biggest practical difference between assistants. Some only see the open file, some index the whole repository, some pull in your dependencies and documentation. For a small project it barely matters; in a large codebase with established patterns, a tool that cannot see your existing conventions will keep suggesting code that ignores them.

Does AI-assisted code need reviewing differently?

Yes — the errors have a different shape. Generated code is usually syntactically valid and idiomatic, so it slips through review that is scanning for obvious mistakes. The recurring problems are subtler: an outdated API, a missing error path, an unhandled edge case, or a hallucinated package name. Treat generated code as a competent stranger's pull request, not as your own typing.